Evaluating and tracking the size of a wound is a crucial step in wound assessment. The measuremen... more Evaluating and tracking the size of a wound is a crucial step in wound assessment. The measurement of various indicators on wounds over time plays a vital role in treating and managing crucial wounds. This article introduces the concept of utilizing mobile device-captured photographs to address this challenge. The research explores the application of digital technologies in the treatment of chronic wounds, offering tools to assist healthcare professionals in enhancing patient care and decision-making. Additionally, it investigates the use of deep learning (DL) algorithms along with the use of computer vision techniques to enhance the validation results of wounds. The proposed method involves tissue classification as well as visual recognition system. The wound’s region of interest (RoI) is determined using superpixel techniques, enabling the calculation of its wounded zone. A classification model based on the Region Anchored CNN framework is employed to detect and differentiate woun...
Digitalization of financial institutes, industries, and organizations to provide fast online serv... more Digitalization of financial institutes, industries, and organizations to provide fast online services needs a large number of Internet connections and different types of networks. The presence of a large number of digital networks makes operational communication and data transfer vulnerable to different cyber-attacks. So, to secure the system, there must be a mechanism present to detect malicious activities and give an alarm to the operator/HMI. A numerous intrusion detection system is present in this era but still, the intruders get access to the network and create an economical loss. Blockchain is a new path to gain the trust in the cyber-security field. Researchers have been working on the term “blockchain technology” for the past few years. In a growing digital environment, blockchain is a novel technology that provides various advantages. This paper identifies and examines the possible way to enhance the blockchain capability by integrating with principal component analysis (PC...
The traditional heating, ventilation, and air conditioning (HVAC) system depends on wired mechani... more The traditional heating, ventilation, and air conditioning (HVAC) system depends on wired mechanical thermostats and regulators deployed at various points in the industrial environment for temperature monitoring. Due to ineffective dynamic changes according to the environment, the traditional HVAC system consumes more electrical energy. Next-generation wireless network (NGWN) systems play a vital role in improving the overall efficiency of the system by continuous monitoring and analysis. A small-scale industry using HVAC systems needs an active smart energy saver technique for maintaining an economical budget. This work uses MATLAB software to simulate and analyze the utilization of fuzzy-based NGWN to reduce the energy consumption requirements of small-scale manufacturing. In the model, a fuzzy rule is designed and applied to a small-scale enterprise divided into five sectors, one of which is temperature sensitive, with the goal of lowering the energy bill. The model employs fuzzy...
Software defect prediction has become a significant study path in the field of software engineeri... more Software defect prediction has become a significant study path in the field of software engineering in order to increase software reliability. Program defect predictions are being used to assist developers in identifying potential problems and optimizing testing resources to enhance program dependability. As a consequence of this strategy, the number of software defects may be predicted, and software testing resources are focused on the software modules with the most problems, allowing the defects to be addressed as soon as feasible. The author proposes a research method of defect prediction technology in software engineering based on convolutional neural network. Most of the existing defect prediction methods are based on the number of lines of code, module dependencies, stack reference depth, and other artificially extracted software features for defect prediction. Such methods do not take into account the underlying semantic features in software source code, which may lead to uns...
Farmers’ physical labor and debt are reduced as a result of agricultural automation, which emphas... more Farmers’ physical labor and debt are reduced as a result of agricultural automation, which emphasizes efficient and effective use of various machines in farming operations with the purpose of reducing physical labor and debt. It is a revolutionary idea in agriculture to create custom hiring centers, which are intended to make it easier for like-minded farmers to embrace technology/machinery for enhanced resource management practices. The study in question examines the significance of tool renting and sharing in the workplace. Rental and sharing equipment are two approaches that might be used to enable farmers to borrow equipment at a cheaper cost than they would otherwise have to pay for it. The following is a manual pilot study of 562 farmers in India to address the numerous challenges farmers face when looking for tools and equipment, as well as to determine their strong interest in the process of renting and sharing equipment. The study was conducted to address the numerous chall...
2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), 2017
E-Learning has become well preferred and accepted tool in teaching-learning of higher education. ... more E-Learning has become well preferred and accepted tool in teaching-learning of higher education. This pattern of change is owing to the advancement in computer and teaching-learning methodology. The introduction of E-Learning provides the real-time flexibility of time and place. The success of E-Learning depends upon many factors that must be controlled to accomplish effective E-Learning outcome. Moreover, the E-Learning teaching-learning process is also obstructed by several barriers. Stakeholder of E-learning must study and overcome these barriers for getting the benefits of the system. In the present research, MCDM based analytic hierarchy process in its fuzzy form has been applied to study the influence of barriers on the system. Four main dimensions of E-Learning are selected for the study, which are, Student, Instructor, Infrastructure, and Technology and Institutional Management. Twelve barriers under these dimensions are also selected to study their influences on each other. The twelve barriers of E-Learning are quantified using FAHP method and prioritized in terms of control the barriers. The prioritization of such barriers will help the stakeholders to control the E-Learning teaching-learning system.
2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), 2017
The most recent cochlear Implants Naida CI Q70 and Q90 from Advanced Bionics have their external ... more The most recent cochlear Implants Naida CI Q70 and Q90 from Advanced Bionics have their external devices such as speech processor and head piece (transmitter), Communicate with the reliable connection oriented network architecture. This architecture is complex with a long cable connected between speech processor and head piece (transmitter). This structure encounter drawbacks, like maintenance of cable, expensive as any small damage requires huge money to be spent on cable. Furthermore its rare and unique structure creates a lot of nuisance with multiple enquiries from the people leading to the frustration while answering them. Hence the idea is to Design Wireless Communication system for a CI device is the thought process. The proposed Architecture uses the ‘UART to WIFI module’ and it is available in the market. We have used IEEE 802.15.4 Wi-Fi module to configure Speech Processor and Head Piece (Transmitter) of CI as Wi-Fi module that has hotspot for communication. This module pr...
International Journal of Recent Technology and Engineering (IJRTE), 2019
The digital millennials are very interactive in nature. They love to learn and interact with thei... more The digital millennials are very interactive in nature. They love to learn and interact with their peers, teachers, relatives, and environment through digital platforms. These interactions are being facilitated by the increasing rate of internet penetration and emerging digital media across the globe. The nature of today’s learners has increased the demand for use of student-centred learning approach such as Online Discussion Forum (ODF) across different levels of education. Online Discussion Forum (ODF) is being employed as a supportive tool to enhance interactive learning and student-teacher communication. The present study developed an Online Discussion Forum nicknamed “CSC forum” with a view to promote interactive learning, and communication among students, and teachers at the Department of Computer Science, Tai Solarin University of Education, Nigeria. The “CSC forum” facilitates exchange of ideas among students regarding course content and assignments, and also improved the qu...
International Journal of Emerging Technologies in Learning (iJET), 2017
Advancement of digital technology is influencing the leaping development of various activities in... more Advancement of digital technology is influencing the leaping development of various activities in our daily life. E-Learning system has also gained a competitive edge over the prevailing traditional methodology. The prevailing pedagogy is being replaced by the E-Learning teaching system. E-Learning teaching-learning methodology provides more flexibility and allows freedom from time, place, physical presence, hectic, and stressful teaching-learning etc., thus plays a vital role in education system. However, there are many barriers in E-Learning methodology for successful teaching-learning. Study on such barriers will help to overcome the difficulties to the success of E-Learning. Present research paper attempts to study the various barriers that are affecting the successful implementation of E-Learning in Saudi Arabian Universities. This study reviews various barriers from literatures and identified most important E-Learning barriers which are described and grouped in four dimensions...
The use of multimodal magnetic resonance imaging (MRI) to autonomously segment brain tumors and s... more The use of multimodal magnetic resonance imaging (MRI) to autonomously segment brain tumors and subregions is critical for accurate and consistent tumor measurement, which can help with detection, care planning, and evaluation. This research is a contribution to the neuroscience research. In the present work, we provide a completely automated brain tumor segmentation method based on a mathematical model and deep neural networks (DNNs). Each slice of the 3D picture is enhanced by the suggested mathematical model, which is then sent through the 3D attention U-Net to provide a tumor segmented output. The study includes a detailed mathematical model for tumor pixel enhancement as well as a 3D attention U-Net to appropriately separate the pixels. On the BraTS 2019 dataset, the suggested system is tested and verified. This proposed work will definitely help for the treatment of the brain tumor patient. The pixel level accuracy for tumor pixel segmentation is 98.90%. The suggested system a...
Deep learning (DL) and machine learning (ML) have a pivotal role in logistic supply chain managem... more Deep learning (DL) and machine learning (ML) have a pivotal role in logistic supply chain management and smart manufacturing with proven records. The ability to handle large complex data with minimal human intervention made DL and ML a success in the healthcare systems. In the present healthcare system, the implementation of ML and DL is extensive to achieve a higher quality of service and quality of health to patients, doctors, and healthcare professionals. ML and DL were found to be effective in disease diagnosis, acute disease detection, image analysis, drug discovery, drug delivery, and smart health monitoring. This work presents a state-of-the-art review on the recent advancements in ML and DL and their implementation in the healthcare systems for achieving multi-objective goals. A total of 10 papers have been thoroughly reviewed that presented novel works of ML and DL integration in the healthcare system for achieving various targets. This will help to create reference data th...
This paper is concerned with the problem of the robust stability of fractional-order memristive b... more This paper is concerned with the problem of the robust stability of fractional-order memristive bidirectional associative memory (BAM) neural networks. Based on Lyapunov theory, fractional-order differential inequalities and linear matrix inequalities (LMI) are applied to obtain a robust asymptotical stability. Finally, numerical examples are presented.
Neural network is a layer-based optimization technique to solve a real-time problem adjusting the... more Neural network is a layer-based optimization technique to solve a real-time problem adjusting the weight values of the neuron based on its activation function. It aids to construct a model to compute optimum results in business analytical process, prediction analysis, financial forecasting, environmental analysis, etc. The environmental analysis are having two approaches namely determine the pollution or identifying the quality using environmental factors such as air, water, and land. The air pollution analysis and predication is to control the pollution. It is a challenging process due to its computational complexity. The environmental research community is working on air pollution factor analysis, pollution index computation, and predication. Present research addresses the findings of various artificial neural network algorithms and presented same. It is recognized that the obtained neural network models are providing sufficient reliable forecast that indicates an effective tool f...
Abstract- Internet usage has gone far beyond expectation and continues to grow. Services on the I... more Abstract- Internet usage has gone far beyond expectation and continues to grow. Services on the Internet are also more innovative than ever before. Many more different system architectures are currently used to obtain the same pool of services. Now, the trend is to make uniform architecture to provide services. SOA is a service that aims to integrate and be interoperable with various implementation languages. SOA is a concept of distributed computing, the best example of which is file sharing. Remote sharing remains an issue. Although many services are available to provide remote file sharing, they have problems in accessing file with ease, user friendliness, a generic communication protocol, a secured method to communicate during transferring and traversing the secured firewalls. This paper focuses on how easily the file can be shared with the generic communication protocol and a secured method by bypassing the issues of NAT. To provide such service, we do not have any option other...
Nowadays, E-Learning becomes a preferable medium for learning. Digital technology has made it mor... more Nowadays, E-Learning becomes a preferable medium for learning. Digital technology has made it more attractive and useful with additional user-friendly features. Basically, E-Learning involves massive infrastructural resources to operate. It also includes the effective combination of hardware and software along with the involvement of individuals to make the system successful for the students. Since the students and teachers have become agile using state-of-the-art communication technology in teaching learning process, they look for the efficient and smooth knowledge transfer. Many researches have encountered the barriers for the successful implementation of E-Learning in the universities. There is little research that uncovers the interaction of E-Learning barriers. The present study aims to provide the Interpretive Structure Modelling (ISM) and Matrice d'Impacts Croises Multiplication Applique'e a' un Classement (MICMAC) based analysis to study such barriers of E-Learni...
Evaluating and tracking the size of a wound is a crucial step in wound assessment. The measuremen... more Evaluating and tracking the size of a wound is a crucial step in wound assessment. The measurement of various indicators on wounds over time plays a vital role in treating and managing crucial wounds. This article introduces the concept of utilizing mobile device-captured photographs to address this challenge. The research explores the application of digital technologies in the treatment of chronic wounds, offering tools to assist healthcare professionals in enhancing patient care and decision-making. Additionally, it investigates the use of deep learning (DL) algorithms along with the use of computer vision techniques to enhance the validation results of wounds. The proposed method involves tissue classification as well as visual recognition system. The wound’s region of interest (RoI) is determined using superpixel techniques, enabling the calculation of its wounded zone. A classification model based on the Region Anchored CNN framework is employed to detect and differentiate woun...
Digitalization of financial institutes, industries, and organizations to provide fast online serv... more Digitalization of financial institutes, industries, and organizations to provide fast online services needs a large number of Internet connections and different types of networks. The presence of a large number of digital networks makes operational communication and data transfer vulnerable to different cyber-attacks. So, to secure the system, there must be a mechanism present to detect malicious activities and give an alarm to the operator/HMI. A numerous intrusion detection system is present in this era but still, the intruders get access to the network and create an economical loss. Blockchain is a new path to gain the trust in the cyber-security field. Researchers have been working on the term “blockchain technology” for the past few years. In a growing digital environment, blockchain is a novel technology that provides various advantages. This paper identifies and examines the possible way to enhance the blockchain capability by integrating with principal component analysis (PC...
The traditional heating, ventilation, and air conditioning (HVAC) system depends on wired mechani... more The traditional heating, ventilation, and air conditioning (HVAC) system depends on wired mechanical thermostats and regulators deployed at various points in the industrial environment for temperature monitoring. Due to ineffective dynamic changes according to the environment, the traditional HVAC system consumes more electrical energy. Next-generation wireless network (NGWN) systems play a vital role in improving the overall efficiency of the system by continuous monitoring and analysis. A small-scale industry using HVAC systems needs an active smart energy saver technique for maintaining an economical budget. This work uses MATLAB software to simulate and analyze the utilization of fuzzy-based NGWN to reduce the energy consumption requirements of small-scale manufacturing. In the model, a fuzzy rule is designed and applied to a small-scale enterprise divided into five sectors, one of which is temperature sensitive, with the goal of lowering the energy bill. The model employs fuzzy...
Software defect prediction has become a significant study path in the field of software engineeri... more Software defect prediction has become a significant study path in the field of software engineering in order to increase software reliability. Program defect predictions are being used to assist developers in identifying potential problems and optimizing testing resources to enhance program dependability. As a consequence of this strategy, the number of software defects may be predicted, and software testing resources are focused on the software modules with the most problems, allowing the defects to be addressed as soon as feasible. The author proposes a research method of defect prediction technology in software engineering based on convolutional neural network. Most of the existing defect prediction methods are based on the number of lines of code, module dependencies, stack reference depth, and other artificially extracted software features for defect prediction. Such methods do not take into account the underlying semantic features in software source code, which may lead to uns...
Farmers’ physical labor and debt are reduced as a result of agricultural automation, which emphas... more Farmers’ physical labor and debt are reduced as a result of agricultural automation, which emphasizes efficient and effective use of various machines in farming operations with the purpose of reducing physical labor and debt. It is a revolutionary idea in agriculture to create custom hiring centers, which are intended to make it easier for like-minded farmers to embrace technology/machinery for enhanced resource management practices. The study in question examines the significance of tool renting and sharing in the workplace. Rental and sharing equipment are two approaches that might be used to enable farmers to borrow equipment at a cheaper cost than they would otherwise have to pay for it. The following is a manual pilot study of 562 farmers in India to address the numerous challenges farmers face when looking for tools and equipment, as well as to determine their strong interest in the process of renting and sharing equipment. The study was conducted to address the numerous chall...
2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), 2017
E-Learning has become well preferred and accepted tool in teaching-learning of higher education. ... more E-Learning has become well preferred and accepted tool in teaching-learning of higher education. This pattern of change is owing to the advancement in computer and teaching-learning methodology. The introduction of E-Learning provides the real-time flexibility of time and place. The success of E-Learning depends upon many factors that must be controlled to accomplish effective E-Learning outcome. Moreover, the E-Learning teaching-learning process is also obstructed by several barriers. Stakeholder of E-learning must study and overcome these barriers for getting the benefits of the system. In the present research, MCDM based analytic hierarchy process in its fuzzy form has been applied to study the influence of barriers on the system. Four main dimensions of E-Learning are selected for the study, which are, Student, Instructor, Infrastructure, and Technology and Institutional Management. Twelve barriers under these dimensions are also selected to study their influences on each other. The twelve barriers of E-Learning are quantified using FAHP method and prioritized in terms of control the barriers. The prioritization of such barriers will help the stakeholders to control the E-Learning teaching-learning system.
2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), 2017
The most recent cochlear Implants Naida CI Q70 and Q90 from Advanced Bionics have their external ... more The most recent cochlear Implants Naida CI Q70 and Q90 from Advanced Bionics have their external devices such as speech processor and head piece (transmitter), Communicate with the reliable connection oriented network architecture. This architecture is complex with a long cable connected between speech processor and head piece (transmitter). This structure encounter drawbacks, like maintenance of cable, expensive as any small damage requires huge money to be spent on cable. Furthermore its rare and unique structure creates a lot of nuisance with multiple enquiries from the people leading to the frustration while answering them. Hence the idea is to Design Wireless Communication system for a CI device is the thought process. The proposed Architecture uses the ‘UART to WIFI module’ and it is available in the market. We have used IEEE 802.15.4 Wi-Fi module to configure Speech Processor and Head Piece (Transmitter) of CI as Wi-Fi module that has hotspot for communication. This module pr...
International Journal of Recent Technology and Engineering (IJRTE), 2019
The digital millennials are very interactive in nature. They love to learn and interact with thei... more The digital millennials are very interactive in nature. They love to learn and interact with their peers, teachers, relatives, and environment through digital platforms. These interactions are being facilitated by the increasing rate of internet penetration and emerging digital media across the globe. The nature of today’s learners has increased the demand for use of student-centred learning approach such as Online Discussion Forum (ODF) across different levels of education. Online Discussion Forum (ODF) is being employed as a supportive tool to enhance interactive learning and student-teacher communication. The present study developed an Online Discussion Forum nicknamed “CSC forum” with a view to promote interactive learning, and communication among students, and teachers at the Department of Computer Science, Tai Solarin University of Education, Nigeria. The “CSC forum” facilitates exchange of ideas among students regarding course content and assignments, and also improved the qu...
International Journal of Emerging Technologies in Learning (iJET), 2017
Advancement of digital technology is influencing the leaping development of various activities in... more Advancement of digital technology is influencing the leaping development of various activities in our daily life. E-Learning system has also gained a competitive edge over the prevailing traditional methodology. The prevailing pedagogy is being replaced by the E-Learning teaching system. E-Learning teaching-learning methodology provides more flexibility and allows freedom from time, place, physical presence, hectic, and stressful teaching-learning etc., thus plays a vital role in education system. However, there are many barriers in E-Learning methodology for successful teaching-learning. Study on such barriers will help to overcome the difficulties to the success of E-Learning. Present research paper attempts to study the various barriers that are affecting the successful implementation of E-Learning in Saudi Arabian Universities. This study reviews various barriers from literatures and identified most important E-Learning barriers which are described and grouped in four dimensions...
The use of multimodal magnetic resonance imaging (MRI) to autonomously segment brain tumors and s... more The use of multimodal magnetic resonance imaging (MRI) to autonomously segment brain tumors and subregions is critical for accurate and consistent tumor measurement, which can help with detection, care planning, and evaluation. This research is a contribution to the neuroscience research. In the present work, we provide a completely automated brain tumor segmentation method based on a mathematical model and deep neural networks (DNNs). Each slice of the 3D picture is enhanced by the suggested mathematical model, which is then sent through the 3D attention U-Net to provide a tumor segmented output. The study includes a detailed mathematical model for tumor pixel enhancement as well as a 3D attention U-Net to appropriately separate the pixels. On the BraTS 2019 dataset, the suggested system is tested and verified. This proposed work will definitely help for the treatment of the brain tumor patient. The pixel level accuracy for tumor pixel segmentation is 98.90%. The suggested system a...
Deep learning (DL) and machine learning (ML) have a pivotal role in logistic supply chain managem... more Deep learning (DL) and machine learning (ML) have a pivotal role in logistic supply chain management and smart manufacturing with proven records. The ability to handle large complex data with minimal human intervention made DL and ML a success in the healthcare systems. In the present healthcare system, the implementation of ML and DL is extensive to achieve a higher quality of service and quality of health to patients, doctors, and healthcare professionals. ML and DL were found to be effective in disease diagnosis, acute disease detection, image analysis, drug discovery, drug delivery, and smart health monitoring. This work presents a state-of-the-art review on the recent advancements in ML and DL and their implementation in the healthcare systems for achieving multi-objective goals. A total of 10 papers have been thoroughly reviewed that presented novel works of ML and DL integration in the healthcare system for achieving various targets. This will help to create reference data th...
This paper is concerned with the problem of the robust stability of fractional-order memristive b... more This paper is concerned with the problem of the robust stability of fractional-order memristive bidirectional associative memory (BAM) neural networks. Based on Lyapunov theory, fractional-order differential inequalities and linear matrix inequalities (LMI) are applied to obtain a robust asymptotical stability. Finally, numerical examples are presented.
Neural network is a layer-based optimization technique to solve a real-time problem adjusting the... more Neural network is a layer-based optimization technique to solve a real-time problem adjusting the weight values of the neuron based on its activation function. It aids to construct a model to compute optimum results in business analytical process, prediction analysis, financial forecasting, environmental analysis, etc. The environmental analysis are having two approaches namely determine the pollution or identifying the quality using environmental factors such as air, water, and land. The air pollution analysis and predication is to control the pollution. It is a challenging process due to its computational complexity. The environmental research community is working on air pollution factor analysis, pollution index computation, and predication. Present research addresses the findings of various artificial neural network algorithms and presented same. It is recognized that the obtained neural network models are providing sufficient reliable forecast that indicates an effective tool f...
Abstract- Internet usage has gone far beyond expectation and continues to grow. Services on the I... more Abstract- Internet usage has gone far beyond expectation and continues to grow. Services on the Internet are also more innovative than ever before. Many more different system architectures are currently used to obtain the same pool of services. Now, the trend is to make uniform architecture to provide services. SOA is a service that aims to integrate and be interoperable with various implementation languages. SOA is a concept of distributed computing, the best example of which is file sharing. Remote sharing remains an issue. Although many services are available to provide remote file sharing, they have problems in accessing file with ease, user friendliness, a generic communication protocol, a secured method to communicate during transferring and traversing the secured firewalls. This paper focuses on how easily the file can be shared with the generic communication protocol and a secured method by bypassing the issues of NAT. To provide such service, we do not have any option other...
Nowadays, E-Learning becomes a preferable medium for learning. Digital technology has made it mor... more Nowadays, E-Learning becomes a preferable medium for learning. Digital technology has made it more attractive and useful with additional user-friendly features. Basically, E-Learning involves massive infrastructural resources to operate. It also includes the effective combination of hardware and software along with the involvement of individuals to make the system successful for the students. Since the students and teachers have become agile using state-of-the-art communication technology in teaching learning process, they look for the efficient and smooth knowledge transfer. Many researches have encountered the barriers for the successful implementation of E-Learning in the universities. There is little research that uncovers the interaction of E-Learning barriers. The present study aims to provide the Interpretive Structure Modelling (ISM) and Matrice d'Impacts Croises Multiplication Applique'e a' un Classement (MICMAC) based analysis to study such barriers of E-Learni...
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Papers by Sumaya Sanober