The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
9th International Conference on Artificial Intelligence, Soft Computing And
Applications (AISCA 2... more 9th International Conference on Artificial Intelligence, Soft Computing And Applications (AISCA 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing and Applications. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
2
nd International Conference on AI & Civil Engineering (AICiViL 2024) will provide an
excellent ... more 2 nd International Conference on AI & Civil Engineering (AICiViL 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Artificial Intelligence &Civil Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of AI and Civil Engineering.
6th International Conference on Natural Language Processing, Information Retrieval and AI (NIAI 2... more 6th International Conference on Natural Language Processing, Information Retrieval and AI (NIAI 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing, Information Retrieval and AI.
6
th International Conference on Signal Processing and Machine Learning (SIGML
2025) will provide... more 6 th International Conference on Signal Processing and Machine Learning (SIGML 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Signal Processing and Machine Learning. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
2nd International Conference on NLP, AI & Information Retrieval (NLAII 2024) will
provide an exce... more 2nd International Conference on NLP, AI & Information Retrieval (NLAII 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Processing, AI and Information Retrieval.
International Conference on Signal Processing Trends (SPT 2024) is a virtual platform for
highlig... more International Conference on Signal Processing Trends (SPT 2024) is a virtual platform for highlighting the latest advances and research findings in the fields of signal and image processing. The conference will gather top researchers, engineers, and scientists from around the globe who are interested in these areas. The conference covers all aspects of signal and image processing, AI, and machine learning, from fundamental research to the development of practical applications. Authors are invited to contribute by submitting papers that highlight research results, projects, surveys, and industrial experiences, demonstrating significant progress in the following areas and beyond.
The International Conference on AI, Machine Learning, and Data Science (AIMDS 2024) will be an
ex... more The International Conference on AI, Machine Learning, and Data Science (AIMDS 2024) will be an exceptional virtual platform for sharing knowledge and research findings in the theory, methodology, and applications of AI, Machine Learning, and Data Science. AIMDS 2024 emphasizes both theoretical research and practical applications in these fields. The conference seeks high-quality papers that address all technical aspects of AI, Machine Learning, and Data Science. Submissions from academia, industry, and government are encouraged, covering both traditional and emerging topics, as well as innovative paradigms, with a strong focus on real-world problems, systems and applications.
14th International Conference on Artificial Intelligence, Soft Computing and Applications
(AIAA 2... more 14th International Conference on Artificial Intelligence, Soft Computing and Applications (AIAA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
11th International Conference on Artificial Intelligence & Applications (ARIA 2024) will
provide ... more 11th International Conference on Artificial Intelligence & Applications (ARIA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
12th International Conference on Artificial Intelligence and Applications (AIAP 2025) will
provid... more 12th International Conference on Artificial Intelligence and Applications (AIAP 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its applications. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open ... more The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
10th International Conference on Natural Language Computing (NATL 2024) will provide an excellent... more 10th International Conference on Natural Language Computing (NATL 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing. The Conference looks for significant contributions to all major fields of the Natural Language Computing in theoretical and practical aspects.
5th International Conference on Machine Learning Techniques (MLTEC 2024) will provide an excellen... more 5th International Conference on Machine Learning Techniques (MLTEC 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques.
There is an increasing interest in developing techniques to identify and assess data to allow an ... more There is an increasing interest in developing techniques to identify and assess data to allow an easy and continuous access to resources, services or places that require thorough ID control. Usually, in order to give access to these resources, different kinds of documents are mandatory. In order to avoid forgeries without the need of extra credentials, a new system –named photoQR, is here proposed. This system is based on a ID card having two objects: one person’s picture (pre-processed via blur and/or swirl techniques) and one QR code containing embedded data related to the picture. The idea is that the picture and the QR code can assess each other by a proper hash value in the QR. The QR without the picture cannot be assessed and vice versa. An open source prototype of the photoQR system has been implemented in Python and can be used both in offline and real-time environments, which effectively combines security concepts and image processing algorithms to obtain data assessment.
2nd International Conference on Machine Learning and IoT (MLIoT 2024)will provide an excellent in... more 2nd International Conference on Machine Learning and IoT (MLIoT 2024)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning and Internet of Things (IoT).
13th International Conference on Soft Computing, Artificial Intelligence and Applications (SCAI 2... more 13th International Conference on Soft Computing, Artificial Intelligence and Applications (SCAI 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of artificial intelligence, soft computing. The conference looks for significant contributions to all major fields of the artificial intelligence, soft computing in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
10th International Conference on Fuzzy Logic Systems (Fuzzy 2024) will provide an excellent inter... more 10th International Conference on Fuzzy Logic Systems (Fuzzy 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology, and applications of Fuzzy Logic Systems. The Conference looks for significant contributions to all major fields of the Fuzzy Logic Systems in theoretical and practical aspects.
5th International Conference on Machine Learning Techniques and Data Science (MLDS 2024) will pro... more 5th International Conference on Machine Learning Techniques and Data Science (MLDS 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques and Data Science.
5th International Conference on Data Science and Machine Learning (DSML 2024) will act as a major... more 5th International Conference on Data Science and Machine Learning (DSML 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Science and Machine Learning.
5th International Conference on VLSI & Embedded Systems (VLSIE 2024) will provide an excellent in... more 5th International Conference on VLSI & Embedded Systems (VLSIE 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of VLSI and Embedded Systems. Original, unpublished papers, describing research in the general area of VLSI and Embedded Systems are solicited. Both theoretical and experimental research results are welcome in the following areas, but are not limited to.
9th International Conference on Artificial Intelligence, Soft Computing And
Applications (AISCA 2... more 9th International Conference on Artificial Intelligence, Soft Computing And Applications (AISCA 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing and Applications. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
2
nd International Conference on AI & Civil Engineering (AICiViL 2024) will provide an
excellent ... more 2 nd International Conference on AI & Civil Engineering (AICiViL 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Artificial Intelligence &Civil Engineering. The conference documents practical and theoretical results which make a fundamental contribution for the development of AI and Civil Engineering.
6th International Conference on Natural Language Processing, Information Retrieval and AI (NIAI 2... more 6th International Conference on Natural Language Processing, Information Retrieval and AI (NIAI 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing, Information Retrieval and AI.
6
th International Conference on Signal Processing and Machine Learning (SIGML
2025) will provide... more 6 th International Conference on Signal Processing and Machine Learning (SIGML 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Signal Processing and Machine Learning. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
2nd International Conference on NLP, AI & Information Retrieval (NLAII 2024) will
provide an exce... more 2nd International Conference on NLP, AI & Information Retrieval (NLAII 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Processing, AI and Information Retrieval.
International Conference on Signal Processing Trends (SPT 2024) is a virtual platform for
highlig... more International Conference on Signal Processing Trends (SPT 2024) is a virtual platform for highlighting the latest advances and research findings in the fields of signal and image processing. The conference will gather top researchers, engineers, and scientists from around the globe who are interested in these areas. The conference covers all aspects of signal and image processing, AI, and machine learning, from fundamental research to the development of practical applications. Authors are invited to contribute by submitting papers that highlight research results, projects, surveys, and industrial experiences, demonstrating significant progress in the following areas and beyond.
The International Conference on AI, Machine Learning, and Data Science (AIMDS 2024) will be an
ex... more The International Conference on AI, Machine Learning, and Data Science (AIMDS 2024) will be an exceptional virtual platform for sharing knowledge and research findings in the theory, methodology, and applications of AI, Machine Learning, and Data Science. AIMDS 2024 emphasizes both theoretical research and practical applications in these fields. The conference seeks high-quality papers that address all technical aspects of AI, Machine Learning, and Data Science. Submissions from academia, industry, and government are encouraged, covering both traditional and emerging topics, as well as innovative paradigms, with a strong focus on real-world problems, systems and applications.
14th International Conference on Artificial Intelligence, Soft Computing and Applications
(AIAA 2... more 14th International Conference on Artificial Intelligence, Soft Computing and Applications (AIAA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
11th International Conference on Artificial Intelligence & Applications (ARIA 2024) will
provide ... more 11th International Conference on Artificial Intelligence & Applications (ARIA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
12th International Conference on Artificial Intelligence and Applications (AIAP 2025) will
provid... more 12th International Conference on Artificial Intelligence and Applications (AIAP 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its applications. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open ... more The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
10th International Conference on Natural Language Computing (NATL 2024) will provide an excellent... more 10th International Conference on Natural Language Computing (NATL 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing. The Conference looks for significant contributions to all major fields of the Natural Language Computing in theoretical and practical aspects.
5th International Conference on Machine Learning Techniques (MLTEC 2024) will provide an excellen... more 5th International Conference on Machine Learning Techniques (MLTEC 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques.
There is an increasing interest in developing techniques to identify and assess data to allow an ... more There is an increasing interest in developing techniques to identify and assess data to allow an easy and continuous access to resources, services or places that require thorough ID control. Usually, in order to give access to these resources, different kinds of documents are mandatory. In order to avoid forgeries without the need of extra credentials, a new system –named photoQR, is here proposed. This system is based on a ID card having two objects: one person’s picture (pre-processed via blur and/or swirl techniques) and one QR code containing embedded data related to the picture. The idea is that the picture and the QR code can assess each other by a proper hash value in the QR. The QR without the picture cannot be assessed and vice versa. An open source prototype of the photoQR system has been implemented in Python and can be used both in offline and real-time environments, which effectively combines security concepts and image processing algorithms to obtain data assessment.
2nd International Conference on Machine Learning and IoT (MLIoT 2024)will provide an excellent in... more 2nd International Conference on Machine Learning and IoT (MLIoT 2024)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning and Internet of Things (IoT).
13th International Conference on Soft Computing, Artificial Intelligence and Applications (SCAI 2... more 13th International Conference on Soft Computing, Artificial Intelligence and Applications (SCAI 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of artificial intelligence, soft computing. The conference looks for significant contributions to all major fields of the artificial intelligence, soft computing in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
10th International Conference on Fuzzy Logic Systems (Fuzzy 2024) will provide an excellent inter... more 10th International Conference on Fuzzy Logic Systems (Fuzzy 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology, and applications of Fuzzy Logic Systems. The Conference looks for significant contributions to all major fields of the Fuzzy Logic Systems in theoretical and practical aspects.
5th International Conference on Machine Learning Techniques and Data Science (MLDS 2024) will pro... more 5th International Conference on Machine Learning Techniques and Data Science (MLDS 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques and Data Science.
5th International Conference on Data Science and Machine Learning (DSML 2024) will act as a major... more 5th International Conference on Data Science and Machine Learning (DSML 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Science and Machine Learning.
5th International Conference on VLSI & Embedded Systems (VLSIE 2024) will provide an excellent in... more 5th International Conference on VLSI & Embedded Systems (VLSIE 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of VLSI and Embedded Systems. Original, unpublished papers, describing research in the general area of VLSI and Embedded Systems are solicited. Both theoretical and experimental research results are welcome in the following areas, but are not limited to.
Intelligent Object Framework (IOF) is a new communication standard over a wireless network suppor... more Intelligent Object Framework (IOF) is a new communication standard over a wireless network supporting existing multiple sets of architectural solutions. The Framework consists of a framework design that enables devices of different platforms to communicate by a common data exchange model via a device management controller. This paper provides a descriptive analysis of functional requirements for the IOF. The purpose of the proposed system is to provide a platform independent device (Intelligent Object) management by utilization of set components. The functional requirements focus on deriving primary functionality of server and client applications by description of required inputs, behaviours and outputs
High accuracy in cancer prediction is important to improve the quality of the treatment and to im... more High accuracy in cancer prediction is important to improve the quality of the treatment and to improve the rate of survivability of patients. As the data volume is increasing rapidly in the healthcare research, the analytical challenge exists in double. The use of effective sampling technique in classification algorithms always yields good prediction accuracy. The SEER public use cancer database provides various prominent class labels for prognosis prediction. The main objective of this paper is to find the effect of sampling techniques in classifying the prognosis variable and propose an ideal sampling method based on the outcome of the experimentation. In the first phase of this work the traditional random sampling and stratified sampling techniques have been used. At the next level the balanced stratified sampling with variations as per the choice of the prognosis class labels have been tested. Much of the initial time has been focused on performing the pre-processing of the SEER data set. The classification model for experimentation has been built using the breast cancer, respiratory cancer and mixed cancer data sets with three traditional classifiers namely Decision Tree, Naïve Bayes and K-Nearest Neighbour. The three prognosis factors survival, stage and metastasis have been used as class labels for experimental comparisons. The results shows a steady increase in the prediction accuracy of balanced stratified model as the sample size increases, but the traditional approach fluctuates before the optimum results.
According to this fact that educational system is the base of constant development in every count... more According to this fact that educational system is the base of constant development in every country and this system educates human-forces and this forces,are accelerators and a factor, of achieving the goals of development,the educational system can play, Major role in the context economic behavior, in this context some concepts are regarded as behavioral targets and performance.In educational system, handling artificial intelligence, in teaching and learning process, had a surprising evolution through educational advantages, making job, respecting customers rights and customer relationship management, to assist priority and citizenship, correct investment through formal markets. Science-Based economy, resistible economy and a positive view to job and Iran capital,including concepts which can be institutionalize in to the educational system. In this paper it is decided to pose a new method, creating a proper cultural and scientific bed, this helps.That the educational system behavioral goals, better and stable being achieved. The method presented in this paper is general and based on handling artificial intelligence, information technology and electronic content management that means in an intelligent educational system.The educational goals can be better achieved and managed by new technology of education.
Wireless sensor network (WSN) are powered by batteries to perform various sensing tasks in a give... more Wireless sensor network (WSN) are powered by batteries to perform various sensing tasks in a given environment. The measurements made by the sensors are sometimes unreliable and erroneous due to noise in the sensor or hardware failure. For a large scale WSN to be economically feasible, it is important to ensure that the faulty node does not affect the overall behaviour of the system. In this paper a binary fault-tolerant event detection technique has been proposed for the non-symmetric errors and its performance has been analysed. Theoretical analysis and simulation show that almost 97 percent of faults can be corrected even when 10 percent sensor nodes are faulty.
In a Power plant with a Distributed Control System (DCS), process parameters are continuously sto... more In a Power plant with a Distributed Control System (DCS), process parameters are continuously stored in databases at discrete intervals. The data contained in these databases may not appear to contain valuable relational information but practically such a relation exists. The large number of process parameter values are changing with time in a Power Plant. These parameters are part of rules framed by domain experts for the expert system. With the changes in parameters there is a quite high possibility to form new rules using the dynamics of the process itself. We present an efficient algorithm that generates all significant rules based on the real data. The association based algorithms were compared and the best suited algorithm for this process application was selected. The application for the Learning system is studied in a Power Plant domain. The SCADA interface was developed to acquire online plant data.
Great knowledge and experience on microbiology are required for accurate bacteria identification.... more Great knowledge and experience on microbiology are required for accurate bacteria identification. Automation of bacteria identification is required because there might be a shortage of skilled microbiologists and clinicians at a time of great need. There have been several attempts to perform automatic background identification. This paper reviews state-of-the-art automatic bacteria identification techniques. This paper also provides discussion on limitations of state-of-the-art automatic bacteria identification systems and recommends future direction of automatic bacteria identification.
Nowadays, asynchronous motors have wide range use in many industrial applications. Field oriented... more Nowadays, asynchronous motors have wide range use in many industrial applications. Field oriented control (FOC) and direct torque control (DTC) are commonly used methods in high performance vector control for asynchronous motors. Therefore, it is very important to identify clearly advantages and disadvantages of both systems in the selection of appropriate control methods for many industrial applications. This paper aims to present a new and different perspective regarding the comparison of the switching behaviours on the FOC and the DTC drivers. For this purpose, the experimental studies have been carried out to compare the inverter switching frequencies and torque responses of the asynchronous motor in the FOC and the DTC systems under different working conditions. The dSPACE 1103 controller board was programmed with Matlab/Simulink software. As expected, the experimental studies showed that the FOC controlled motors has a lessened torque ripple. On the other hand, the FOC controlled motor switching frequency has about 65-75% more than the DTC controlled under both loaded and unloaded working conditions.
ABSRACT Many of the robotic grasping researches have been focusing on stationary objects. And for... more ABSRACT Many of the robotic grasping researches have been focusing on stationary objects. And for dynamic moving objects, researchers have been using real time captured images to locate objects dynamically. However, this approach of controlling the grasping process is quite costly, implying a lot of resources and image processing.Therefore, it is indispensable to seek other method of simpler handling… In this paper, we are going to detail the requirements to manipulate a humanoid robot arm with 7 degree-of-freedom to grasp and handle any moving objects in the 3-D environment in presence or not of obstacles and without using the cameras. We use the OpenRAVE simulation environment, as well as, a robot arm instrumented with the Barrett hand. We also describe a randomized planning algorithm capable of planning. This algorithm is an extent of RRT-JT that combines exploration, using a Rapidly-exploring Random Tree, with exploitation, using Jacobian-based gradient descent, to instruct a 7-DoF WAM robotic arm, in order to grasp a moving target, while avoiding possible encountered obstacles. We present a simulation of a scenario that starts with tracking a moving mug then grasping it and finally placing the mug in a determined position, assuring a maximum rate of success in a reasonable time.
In economical societies of today, using cash is an inseparable aspect of human's life. People use... more In economical societies of today, using cash is an inseparable aspect of human's life. People use cash for marketing, services, entertainments, bank operations and so on. This huge amount of contact with cash and the necessity of knowing the monetary value of it caused one of the most challenging problems for visually impaired people. In this paper we propose a mobile phone based approach to identify monetary value of a picture taken from a banknote using some image processing and machine vision techniques. While the developed approach is very fast, it can recognize the value of the banknote by an average accuracy rate of about 97% and can overcome different challenges like rotation, scaling, collision, illumination changes, perspective, and some others.
The feature selection or extraction is the most important task in Opinion mining and Sentimental ... more The feature selection or extraction is the most important task in Opinion mining and Sentimental Analysis (OSMA) for calculating the polarity score. These scores are used to determine the positive, negative, and neutral polarity about the product, user reviews, user comments, and etc., in social media for the purpose of decision making and Business Intelligence to individuals or organizations. In this paper, we have performed an experimental study for different feature extraction or selection techniques available for opinion mining task. This experimental study is carried out in four stages. First, the data collection process has been done from readily available sources. Second, the pre-processing techniques are applied automatically using the tools to extract the terms, POS (Parts-of-Speech). Third, different feature selection or extraction techniques are applied over the content. Finally, the empirical study is carried out for analyzing the sentiment polarity with different features.
Recently the use of the Monte-Carlo Tree Search algorithm, and in particular its most famous impl... more Recently the use of the Monte-Carlo Tree Search algorithm, and in particular its most famous implementation, the Upper Confidence Tree can be seen has a key moment for artificial intelligence in games. This family of algorithms provides huge improvements in numerous games, such as Go, Havannah, Hex or Amazon. In this paper we study the use of this algorithm on the game of Mr Jack and in particular how to deal with a specific decision-making process.Mr Jack is a 2-player game, from the family of board games. We will present the difficulties of designing an artificial intelligence for this kind of games, and we show that Monte-Carlo Tree Search is robust enough to be competitive in this game with a smart approach.
The improvement of health and nutritional status of the society has been one of the thrust areas ... more The improvement of health and nutritional status of the society has been one of the thrust areas for social developments programmes of the country. The present states of healthcare facilities in India are inadequate when compared to international standards. The average Indian spending on healthcare is much below the global average spending. Indian healthcare Industry is growing at the rapid pace of more than 18%, the fastest in the world. The prospects for Indian healthcare are to the tune of USD 40 billion, while global market is USD 1660 trillion. India has all the prospects to become medical tourism destination of the world, because it has a large pool of low-cost scientifically trained technical personal and is one of the favoured counties for cost effective healthcare. As per the reports of Global Burden of Neurological Disorders Estimations and Projections survey there is big shortage of neurologist in India and around the world. So Authors would like to develop an innovative IT based solution to help doctors in rural areas to gain expertise in Neuro Science and treat patients like expert neurologist. This paper aims to survey the Soft Computing techniques in treating neural patient's problems used throughout the world
Temporally extended actions have been proved to enhance the performance of reinforcement learning... more Temporally extended actions have been proved to enhance the performance of reinforcement learning agents. The broader framework of 'Options' gives us a flexible way of representing such extended course of action in Markov decision processes. In this work we try to adapt options framework to model an operating system scheduler, which is expected not to allow processor stay idle if there is any process ready or waiting for its execution. A process is allowed to utilize CPU resources for a fixed quantum of time (timeslice) and subsequent context switch leads to considerable overhead. In this work we try to utilize the historical performances of a scheduler and try to reduce the number of redundant context switches. We propose a machine-learning module, based on temporally extended reinforcement-learning agent, to predict a better performing timeslice. We measure the importance of states, in option framework, by evaluating the impact of their absence and propose an algorithm to identify such checkpoint states. We present empirical evaluation of our approach in a maze-world navigation and their implications on "adaptive timeslice parameter" show efficient throughput time.
Object detection and recognition are important problems in computer vision and pattern recognitio... more Object detection and recognition are important problems in computer vision and pattern recognition domain. Human beings are able to detect and classify objects effortlessly but replication of this ability on computer based systems has proved to be a non-trivial task. In particular, despite significant research efforts focused on meta-heuristic object detection and recognition, robust and reliable object recognition systems in real time remain elusive. Here we present a survey of one particular approach that has proved very promising for invariant feature recognition and which is a key initial stage of multi-stage network architecture methods for the high level task of object recognition.
Ontologies are being used to organize information in many domains like artificial intelligence, i... more Ontologies are being used to organize information in many domains like artificial intelligence, information science, semantic web, library science. Ontologies of an entity having different information can be merged to create more knowledge of that particular entity. Ontologies today are powering more accurate search and retrieval in websites like Wikipedia etc. As we move towards the future to Web 3.0, also termed as the semantic web, ontologies will play a more important role. Ontologies are represented in various forms like RDF, RDFS, XML, OWL etc. Querying ontologies can yield basic information about an entity. This paper proposes an automated method for ontology creation, using concepts from NLP (Natural Language Processing), Information Retrieval and Machine Learning. Concepts drawn from these domains help in designing more accurate ontologies represented using the XML format. This paper uses document classification using classification algorithms for assigning labels to documents, document similarity to cluster similar documents to the input document, together, and summarization to shorten the text and keep important terms essential in making the ontology. The module is constructed using the Python programming language and NLTK (Natural Language Toolkit). The ontologies created in XML will convey to a lay person the definition of the important term's and their lexical relationships.
All types of machine automated systems are generating large amount of data in different forms lik... more All types of machine automated systems are generating large amount of data in different forms like statistical, text, audio, video, sensor, and bio-metric data that emerges the term Big Data. In this paper we are discussing issues, challenges, and application of these types of Big Data with the consideration of big data dimensions. Here we are discussing social media data analytics, content based analytics, text data analytics, audio, and video data analytics their issues and expected application areas. It will motivate researchers to address these issues of storage, management, and retrieval of data known as Big Data. As well as the usages of Big Data analytics in India is also highlighted.
Big Data is used to store huge volume of both structured and unstructured data which is so large ... more Big Data is used to store huge volume of both structured and unstructured data which is so large and is hard to process using current / traditional database tools and software technologies. The goal of Big Data Storage Management is to ensure a high level of data quality and availability for business intellect and big data analytics applications. Graph database which is not most popular NoSQL database compare to relational database yet but it is a most powerful NoSQL database which can handle large volume of data in very efficient way. It is very difficult to manage large volume of data using traditional technology. Data retrieval time may be more as per database size gets increase. As solution of that NoSQL databases are available. This paper describe what is big data storage management, dimensions of big data, types of data, what is structured and unstructured data, what is NoSQL database, types of NoSQL database, basic structure of graph database, advantages, disadvantages and application area and comparison of various graph database.
This paper presents a method for calculating the light generated current, the series resistance, ... more This paper presents a method for calculating the light generated current, the series resistance, shun resistance and the two components of the reverse saturation current usually encountered in the double diode representation of the solar cell from the experimental values of the current-voltage characteristics of the cell using genetic algorithm. The theory is able to regenerate the above mentioned parameters to very good accuracy when applied to cell data that was generated from pre-defined parameters. The method is applied to various types of space quality solar cells and sub cells. All parameters except the light generated current are seen to be nearly the same in the case of a cell whose characteristics under illumination and in dark were analyzed. The light generated current is nearly equal to the short-circuit current in all cases. The parameters obtained by this method and another method are nearly equal wherever applicable. The parameters are also shown to represent the current-voltage characteristics well.
In the magnitude of internet one need to devote extra time to investigate anticipated resource, e... more In the magnitude of internet one need to devote extra time to investigate anticipated resource, especially when one need to search information from documents. For the higher range internet there is serious need to demand the essentiality to discover the reserved resources. One of the solutions for information retrieval from document repository is to attach tags to documents. Numerous online social bookmarking services permit users to attach tags with resources which are eventually meta-data, frequently stated as folksonomy. In current paper, authors implemented this model for information retrieval by utilizing these tags, after retrieving by using delicious API and synthesize tag cloud in an Indian University to search and retrieve information from document repository.
Internet is the boon in modern era as every organization uses it for dissemination of information... more Internet is the boon in modern era as every organization uses it for dissemination of information and e-commerce related applications. Sometimes people of organization feel delay while accessing internet in spite of proper bandwidth. Prediction model of web caching and prefetching is an ideal solution of this delay problem. Prediction model analysing history of internet user from server raw log files and determine future sequence of web objects and placed all web objects to nearer to the user so access latency could be reduced to some extent and problem of delay is to be solved. To determine sequence of future web objects, it is necessary to determine proximity of one web object with other by identifying proper distance metric technique related to web caching and prefetching. This paper studies different distance metric techniques and concludes that bio informatics based distance metric techniques are ideal in context to Web Caching and Web Prefetching.
5th International Conference on NLP & Big Data (NLPD 2024) will provide an excellent internationa... more 5th International Conference on NLP & Big Data (NLPD 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Computing and Big data.
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open acce... more The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications .The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
2nd International Conference on Machine Learning, NLP and Data Mining (MLDA 2023) will provide an... more 2nd International Conference on Machine Learning, NLP and Data Mining (MLDA 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning, Natural Language Computing and Data Mining. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
11th International Conference of Artificial Intelligence and Fuzzy Logic (AI & FL 2023) provides ... more 11th International Conference of Artificial Intelligence and Fuzzy Logic (AI & FL 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Conference on Machine Learning and IoT (MLIoT 2023) will provide an excellent inter... more International Conference on Machine Learning and IoT (MLIoT 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning and Internet of Things (IoT). Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
International Conference on Machine Learning and IoT (MLIoT 2023) will provide an excellent
inter... more International Conference on Machine Learning and IoT (MLIoT 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning and Internet of Things (IoT). Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
10th International Conference on Signal Processing (CSIP 2023) will provide an excellent
internat... more 10th International Conference on Signal Processing (CSIP 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Signal and Image Processing. The Conference looks for significant contributions to all major fields of the Signal and Image Processing in theoretical and practical aspects. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
4th International Conference on Data Mining & Machine Learning (DMML 2023) will act
as a major fo... more 4th International Conference on Data Mining & Machine Learning (DMML 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Mining and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data Mining and Machine Learning.
9
th International Conference on Artificial Intelligence and Applications (AI 2023) will
provide ... more 9 th International Conference on Artificial Intelligence and Applications (AI 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its applications. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
International Journal of Artificial Intelligence & Applications (IJAIA), 2023
4th International Conference on Machine Learning Techniques and NLP (MLNLP 2023) will provide an ... more 4th International Conference on Machine Learning Techniques and NLP (MLNLP 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques and NLP.
11th International Conference of Artificial Intelligence and Fuzzy Logic (AI & FL
2023) provides ... more 11th International Conference of Artificial Intelligence and Fuzzy Logic (AI & FL 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal inte... more Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.
org/bmli/index Scope 4 th International Conference on Big Data, Machine Learning and IoT (BMLI 20... more org/bmli/index Scope 4 th International Conference on Big Data, Machine Learning and IoT (BMLI 2023) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data, Machine Learning and IoT. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Big Data, Machine Learning and IoT.
The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open ... more The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence & applications. Topics of interest include, but are not limited to, the following:
Facial recognition (FR) is a pattern recognition problem, in which images can be considered as a ... more Facial recognition (FR) is a pattern recognition problem, in which images can be considered as a matrix of pixels.There are manychallenges that affect the performance of face recognitionincluding illumination variation, occlusion, and blurring. In this paper,a few preprocessing techniques are suggested to handle the illumination variationsproblem. Also, other phases of face recognition problems like feature extraction and classification are discussed. Preprocessing techniques like Histogram Equalization (HE), Gamma Intensity Correction (GIC), and Regional Histogram Equalization (RHE) are tested inthe AT&T database. For feature extraction, methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Independent Component Analysis (ICA), and Local Binary Pattern (LBP) are applied. Support Vector Machine (SVM) is used as the classifier. Both holistic and block-based methods are tested using the AT&T database. For twelve different combinations of preprocessing, feature extraction, and classification methods, experiments involving various block sizes are conducted to assess the computation performance and recognition accuracy for the AT&T dataset.Using the block-based method, 100% accuracy is achieved with the combination of GIC preprocessing, LDA feature extraction,and SVM classification using 2x2 block-sizingwhile the holistic method yields the maximum accuracy of 93.5%. The block-sized algorithm performs better than the holistic approach under poor lighting conditions.SVM Radial Basis Function performs extremely well on theAT&Tdataset for both holistic and block-based approaches
Firearm Shootings and stabbings attacks are intense and result in severe trauma and threat to pub... more Firearm Shootings and stabbings attacks are intense and result in severe trauma and threat to public safety. Technology is needed to prevent lone-wolf attacks without human supervision. Hence designing an automatic weapon detection using deep learning, is an optimized solution to localize and detect the presence of weapon objects using Neural Networks. This research focuses on both unified and II-stage object detectors whose resultant model not only detects the presence of weapons but also classifies with respective to its weapon classes, including handgun, knife, revolver, and rifle, along with person detection. This research focuses on YOLOv5 (You Look Only Once) family and Faster RCNN family for model validation and training. Pruning and Ensembling techniques were applied to YOLOv5 to enhance their speed and performance. YOLOv5 models achieve the highest score of 78% with an inference speed of 8.1ms. However, Faster R-CNN models achieve the highest AP 89%.
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Papers by International Journal of Artificial Intelligence (IJAIA)
Applications (AISCA 2025) will provide an excellent international forum for
sharing knowledge and results in theory, methodology and applications of
Artificial Intelligence, Soft Computing and Applications. The aim of the
conference is to provide a platform to the researchers and practitioners from both
academia as well as industry to meet and share cutting-edge development in the
field.
nd International Conference on AI & Civil Engineering (AICiViL 2024) will provide an
excellent international forum for sharing knowledge and results in theory, methodology and
applications impacts and challenges of Artificial Intelligence &Civil Engineering. The
conference documents practical and theoretical results which make a fundamental
contribution for the development of AI and Civil Engineering.
theory, methodology and applications of Natural Language Computing, Information Retrieval and
AI.
th International Conference on Signal Processing and Machine Learning (SIGML
2025) will provide an excellent international forum for sharing knowledge and results in
theory, methodology and applications of on Signal Processing and Machine Learning. The
aim of the conference is to provide a platform to the researchers and practitioners from both
academia as well as industry to meet and share cutting-edge development in the field.
provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of Natural Language Processing, AI and Information Retrieval.
highlighting the latest advances and research findings in the fields of signal and image
processing. The conference will gather top researchers, engineers, and scientists from around the
globe who are interested in these areas. The conference covers all aspects of signal and image
processing, AI, and machine learning, from fundamental research to the development of practical
applications. Authors are invited to contribute by submitting papers that highlight research
results, projects, surveys, and industrial experiences, demonstrating significant progress in the
following areas and beyond.
exceptional virtual platform for sharing knowledge and research findings in the theory, methodology, and
applications of AI, Machine Learning, and Data Science. AIMDS 2024 emphasizes both theoretical
research and practical applications in these fields. The conference seeks high-quality papers that address all
technical aspects of AI, Machine Learning, and Data Science. Submissions from academia, industry, and
government are encouraged, covering both traditional and emerging topics, as well as innovative
paradigms, with a strong focus on real-world problems, systems and applications.
(AIAA 2024) will provide an excellent international forum for sharing knowledge and results
in theory, methodology and applications of Artificial Intelligence, Soft Computing. The
Conference looks for significant contributions to all major fields of the Artificial Intelligence,
Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a
platform to the researchers and practitioners from both academia as well as industry to meet
and share cutting-edge development in the field.
provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of Artificial Intelligence. The aim of the conference is to
provide a platform to the researchers and practitioners from both academia as well as industry
to meet and share cutting-edge development in the field.
provide an excellent international forum for sharing knowledge and results in theory, methodology
and applications of Artificial Intelligence and its applications. The Conference looks for significant
contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and
practical aspects. The aim of the Conference is to provide a platform to the researchers and
practitioners from both academia as well as industry to meet and share cutting-edge development
in the field.
all major fields of the Natural Language Computing in theoretical and practical aspects.
continuous access to resources, services or places that require thorough ID control. Usually, in order to
give access to these resources, different kinds of documents are mandatory. In order to avoid forgeries
without the need of extra credentials, a new system –named photoQR, is here proposed. This system is
based on a ID card having two objects: one person’s picture (pre-processed via blur and/or swirl
techniques) and one QR code containing embedded data related to the picture. The idea is that the picture
and the QR code can assess each other by a proper hash value in the QR. The QR without the picture
cannot be assessed and vice versa. An open source prototype of the photoQR system has been implemented in Python and can be used both in offline and real-time environments, which effectively combines security concepts and image processing algorithms to obtain data assessment.
experimental research results are welcome in the following areas, but are not limited to.
Applications (AISCA 2025) will provide an excellent international forum for
sharing knowledge and results in theory, methodology and applications of
Artificial Intelligence, Soft Computing and Applications. The aim of the
conference is to provide a platform to the researchers and practitioners from both
academia as well as industry to meet and share cutting-edge development in the
field.
nd International Conference on AI & Civil Engineering (AICiViL 2024) will provide an
excellent international forum for sharing knowledge and results in theory, methodology and
applications impacts and challenges of Artificial Intelligence &Civil Engineering. The
conference documents practical and theoretical results which make a fundamental
contribution for the development of AI and Civil Engineering.
theory, methodology and applications of Natural Language Computing, Information Retrieval and
AI.
th International Conference on Signal Processing and Machine Learning (SIGML
2025) will provide an excellent international forum for sharing knowledge and results in
theory, methodology and applications of on Signal Processing and Machine Learning. The
aim of the conference is to provide a platform to the researchers and practitioners from both
academia as well as industry to meet and share cutting-edge development in the field.
provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of Natural Language Processing, AI and Information Retrieval.
highlighting the latest advances and research findings in the fields of signal and image
processing. The conference will gather top researchers, engineers, and scientists from around the
globe who are interested in these areas. The conference covers all aspects of signal and image
processing, AI, and machine learning, from fundamental research to the development of practical
applications. Authors are invited to contribute by submitting papers that highlight research
results, projects, surveys, and industrial experiences, demonstrating significant progress in the
following areas and beyond.
exceptional virtual platform for sharing knowledge and research findings in the theory, methodology, and
applications of AI, Machine Learning, and Data Science. AIMDS 2024 emphasizes both theoretical
research and practical applications in these fields. The conference seeks high-quality papers that address all
technical aspects of AI, Machine Learning, and Data Science. Submissions from academia, industry, and
government are encouraged, covering both traditional and emerging topics, as well as innovative
paradigms, with a strong focus on real-world problems, systems and applications.
(AIAA 2024) will provide an excellent international forum for sharing knowledge and results
in theory, methodology and applications of Artificial Intelligence, Soft Computing. The
Conference looks for significant contributions to all major fields of the Artificial Intelligence,
Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a
platform to the researchers and practitioners from both academia as well as industry to meet
and share cutting-edge development in the field.
provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of Artificial Intelligence. The aim of the conference is to
provide a platform to the researchers and practitioners from both academia as well as industry
to meet and share cutting-edge development in the field.
provide an excellent international forum for sharing knowledge and results in theory, methodology
and applications of Artificial Intelligence and its applications. The Conference looks for significant
contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and
practical aspects. The aim of the Conference is to provide a platform to the researchers and
practitioners from both academia as well as industry to meet and share cutting-edge development
in the field.
all major fields of the Natural Language Computing in theoretical and practical aspects.
continuous access to resources, services or places that require thorough ID control. Usually, in order to
give access to these resources, different kinds of documents are mandatory. In order to avoid forgeries
without the need of extra credentials, a new system –named photoQR, is here proposed. This system is
based on a ID card having two objects: one person’s picture (pre-processed via blur and/or swirl
techniques) and one QR code containing embedded data related to the picture. The idea is that the picture
and the QR code can assess each other by a proper hash value in the QR. The QR without the picture
cannot be assessed and vice versa. An open source prototype of the photoQR system has been implemented in Python and can be used both in offline and real-time environments, which effectively combines security concepts and image processing algorithms to obtain data assessment.
experimental research results are welcome in the following areas, but are not limited to.
enables devices of different platforms to communicate by a common data exchange model via a device management controller. This paper provides a descriptive analysis of functional requirements for the IOF.
The purpose of the proposed system is to provide a platform independent device (Intelligent Object) management by utilization of set components. The functional requirements focus on deriving primary
functionality of server and client applications by description of required inputs, behaviours and outputs
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.
international forum for sharing knowledge and results in theory, methodology and applications of
Machine Learning and Internet of Things (IoT).
Authors are solicited to contribute to the conference by submitting articles that illustrate research results,
projects, surveying works and industrial experiences that describe significant advances in the following
areas, but are not limited to these topics only.
international forum for sharing knowledge and results in theory, methodology and applications
of Signal and Image Processing. The Conference looks for significant contributions to all major
fields of the Signal and Image Processing in theoretical and practical aspects. The aim of the
conference is to provide a platform to the researchers and practitioners from both academia as
well as industry to meet and share cutting-edge development in the field.
as a major forum for the presentation of innovative ideas, approaches, developments, and
research projects in the areas of Data Mining and Machine Learning. It will also serve to facilitate
the exchange of information between researchers and industry professionals to discuss the latest
issues and advancement in the area of Big Data and Machine Learning.
Authors are solicited to contribute to the conference by submitting articles that illustrate research
results, projects, surveying works and industrial experiences that describe significant advances in
Data Mining and Machine Learning.
th International Conference on Artificial Intelligence and Applications (AI 2023) will
provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of Artificial Intelligence and its applications. The Conference
looks for significant contributions to all major fields of the Artificial Intelligence, Soft
Computing in theoretical and practical aspects. The aim of the Conference is to provide a
platform to the researchers and practitioners from both academia as well as industry to meet and
share cutting-edge development in the field.
2023) provides a forum for researchers who address this issue and to present their work in a
peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles
that illustrate research results, projects, surveying works and industrial experiences that describe
significant advances in the following areas, but are not limited to these topics only.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence & applications. Topics of interest include, but are not limited to, the following:
pixels.There are manychallenges that affect the performance of face recognitionincluding illumination
variation, occlusion, and blurring. In this paper,a few preprocessing techniques are suggested to handle the
illumination variationsproblem. Also, other phases of face recognition problems like feature extraction and
classification are discussed. Preprocessing techniques like Histogram Equalization (HE), Gamma Intensity
Correction (GIC), and Regional Histogram Equalization (RHE) are tested inthe AT&T database. For
feature extraction, methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis
(LDA), Independent Component Analysis (ICA), and Local Binary Pattern (LBP) are applied. Support
Vector Machine (SVM) is used as the classifier. Both holistic and block-based methods are tested using the
AT&T database. For twelve different combinations of preprocessing, feature extraction, and classification
methods, experiments involving various block sizes are conducted to assess the computation performance
and recognition accuracy for the AT&T dataset.Using the block-based method, 100% accuracy is achieved
with the combination of GIC preprocessing, LDA feature extraction,and SVM classification using 2x2
block-sizingwhile the holistic method yields the maximum accuracy of 93.5%. The block-sized algorithm
performs better than the holistic approach under poor lighting conditions.SVM Radial Basis Function
performs extremely well on theAT&Tdataset for both holistic and block-based approaches
safety. Technology is needed to prevent lone-wolf attacks without human supervision. Hence designing
an automatic weapon detection using deep learning, is an optimized solution to localize and detect the
presence of weapon objects using Neural Networks. This research focuses on both unified and II-stage
object detectors whose resultant model not only detects the presence of weapons but also classifies with
respective to its weapon classes, including handgun, knife, revolver, and rifle, along with person
detection. This research focuses on YOLOv5 (You Look Only Once) family and Faster RCNN family for
model validation and training. Pruning and Ensembling techniques were applied to YOLOv5 to
enhance their speed and performance. YOLOv5 models achieve the highest score of 78% with an
inference speed of 8.1ms. However, Faster R-CNN models achieve the highest AP 89%.