Quadri Noorulhasan Naveed has pursued Ph.D. in Information Technology from the Department of Information Systems, International Islamic University Malaysia (IIUM) Kuala Lumpur. He has completed his Graduation and Masters from India. Currently, he is doing a project on 'E-Learning CSFs and Barriers in Saudi Arabian Universities'. He has also worked as an IT Engineer in Saudi Aramco and Bank Riyad of Saudi Arabia. Presently he is teaching at the King Khalid University of Saudi Arabia. Address: www.qnaveed.com
Diabetes problems can lead to a condition called diabetic retinopathy (DR), which permanently dam... more Diabetes problems can lead to a condition called diabetic retinopathy (DR), which permanently damages the blood vessels in the retina. If not treated, DR is a significant cause of blindness. The only DR treatments currently accessible are those that block or delay vision loss, which emphasizes the value of routine scanning with high-efficiency computer-based technologies to identify patients early. The major goal of this study is to employ a deep learning neural network to identify diabetic retinopathy in the retina’s blood vessels. The NN classifier is put to the test using the input fundus image and DR database. It effectively contrasts retinal images and distinguishes between classes when there is a legitimate edge. For the resolution of the problems in the photographs, it is particularly useful. Here, it will be tested to see if the classification of diabetic retinopathy is normal or abnormal. Modifying the existing study’s conclusion strategy, existing diabetic retinopathy tech...
This study firstly aims to understand how social networking site usage results in online social c... more This study firstly aims to understand how social networking site usage results in online social capital formation, considering two different types of social networking sites (SNS)—LinkedIn and Facebook. It further aims to investigate if the process varies among different social networking sites or remains uniform. This study also validates two prominent scales, namely the Facebook Intensity Scale (FIS) and the Internet Social Capital Scale (ISCS). A structured questionnaire was administered through various social media platforms resulting in a total of 329 valid responses (167 LinkedIn users and 162 Facebook users). Applying the partial least squares method of structural equation modelling, it was found that social networking site use results in the formation of both online-bonding and online-bridging social capital for both types of SNS. Further, moderation analysis results show that the type of SNS platform does not affect the relationship between SNS intensity and online social c...
Lung disease is one of the most harmful diseases in traditional days and is the same nowadays. Ea... more Lung disease is one of the most harmful diseases in traditional days and is the same nowadays. Early detection is one of the most crucial ways to prevent a human from developing these types of diseases. Many researchers are involved in finding various techniques for predicting the accuracy of the diseases. On the basis of the machine learning algorithm, it was not possible to predict the better accuracy when compared to the deep learning technique; this work has proposed enhanced artificial neural network approaches for the accuracy of lung diseases. Here, the discrete Fourier transform and the Burg auto-regression techniques are used for extracting the computed tomography (CT) scan images, and feature reduction takes place by using principle component analysis (PCA). This proposed work has used the 120 subjective datasets from public landmarks with and without lung diseases. The given dataset is trained by using an enhanced artificial neural network (ANN). The preprocessing techniq...
Most of the people all over the world pass away from complications related to lung cancer every s... more Most of the people all over the world pass away from complications related to lung cancer every single day. It is a deadly form of the disease. To improve a person’s chances of survival, an early diagnosis is a necessary prerequisite. In this regard, the existing methods of tumour detection, such as CT scans, are most commonly used to recognize infected regions. Despite this, there are certain obstacles presented by CT imaging, so this paper proposes a novel model which is a correlation-based model designed for analysis of lung cancer. When registering pictures of thoracic and abdominal organs with slider motion, the total variation regularization term may correct the border discontinuous displacement field, but it cannot maintain the local characteristics of the image and loses the registration accuracy. The thin-plate spline energy operator and the total variation operator are spatially weighted via the spatial position weight of the pixel points to construct an adaptive thin-plat...
Instructional practices have undergone a drastic change as a result of the development of new edu... more Instructional practices have undergone a drastic change as a result of the development of new educational technology. Artificial intelligence (AI) as a teaching and learning technology will be examined in this theoretical review study. To enhance the quality of teaching and learning, the use of artificial intelligence approaches is being studied. Artificial intelligence integration in educational institutions has been addressed, though. Students’ assistance, teaching, learning, and administration are also addressed in the discussion of students’ adoption of artificial intelligence. Artificial intelligence has the potential to revolutionize our social interactions and generate new teaching and learning methods that may be evaluated in a variety of contexts. New educational technology can help students and teachers better accomplish and manage their educational objectives. Artificial intelligence algorithms are used in a hybrid teaching mode in this work to examine students’ attribute...
The generic Drugs are consumed on large scale used and prescribed by medical practitioner. There ... more The generic Drugs are consumed on large scale used and prescribed by medical practitioner. There are number of generic drugs available in market in form of e.g., Soft Gilatine Capsule, Hard Gilatine Capsule and Tablets etc. Study was carried out by using various microbiological techniques to isolate and identify pathogens. From 20 drugs samples four isolates of Escherichia coli and five isolates of Pseudomonas and six isolate of Staphylococcus aureus were obtained. Thus it seems that genericdrugs samples may cause illness. Contamination of pharmaceuticals with microorganisms irrespective whether they are harmful or nonpathogenic can bring about changes in physicochemical characteristics of the medicines. Although sterility is not a requirement in official compendia for nonsterile pharmaceuticals, bioburdens need to be within acceptable limits. Therefore, this study investigated microbial contamination of 10 nonsterile pharmaceuticals frequently delivered to outpatients by identifyin...
Bindusara River was monitored on monthly basis for the core physicochemical parameter like pH, Te... more Bindusara River was monitored on monthly basis for the core physicochemical parameter like pH, Temperature, DO, BOD, TS, TDS, and TSS at three different sampling sites beween August to December 2010.'The R.esult of the investigation has shown the pH io Ui in the narrow acidicalkaline range. The temperature varied between 22 to 32 oC. TS, fDS, fSS values were very high at all the three sites, being maximum at site III fotlowed by site II and site I. DO values iorgia from 1.8 mg/Lto 5.8 mg/L
The transportation industry is crucial to the realization of a smart city. However, the current g... more The transportation industry is crucial to the realization of a smart city. However, the current growth in vehicle numbers is not being matched by an increase in road capacity. Congestion may boost the number of accidents, harm economic growth, and result in higher gas emissions. Currently, traffic congestion is seen as a severe threat to urban life. Suffering as a result of increased car traffic, insufficient infrastructure, and inefficient traffic management has exceeded the tolerance limit. Since route decisions are typically made in a short amount of time, the visualization of the data must be presented in a highly conceivable way. Also, the data generated by the transportation system face difficulties in processing and sometimes lack effective usage in certain fields. Hence, to overcome the challenges in computer vision, a novel computer vision-based traffic management system is proposed by integrating a wireless sensor network (WSN) and visual analytics framework. This research...
2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences (ICETAS), 2018
Student satisfaction with the courses taught in various programs is one of the main factors affec... more Student satisfaction with the courses taught in various programs is one of the main factors affecting student achievement and overall success of educational programs. Technology has added significant improvement to the quality of delivery, resulting in a performance equivalent to traditional face-to-face delivery modes. This paper is intended to evaluate the satisfaction of female students taught by means of interactive television (ITV) in Saudi Arabia and determining the factors that may predict the satisfaction in this medium. A sample of 108 undergraduate students pursuing various undergraduate programs were studied to measure their satisfaction on four facets of satisfaction in distance learning (course management; instructor; technology; and overall). The paper will be of significance to the various universities where students are being taught using ITV in understanding the aspects of delivery that need to be improved. The results of the study will also contribute to the extant empirical research on distance education.
2019 International Conference on Computer and Information Sciences (ICCIS), 2019
The aim of this paper is to optimize the treatment cost of brain tumor patients. In our proposed ... more The aim of this paper is to optimize the treatment cost of brain tumor patients. In our proposed approach, application of optimality of operation research (OR) have been introduced to develop an effective OR models in healthcare. OR and its applications are powerful decision making tools. We have used OR tools as a resource to optimize the cost in healthcare. The optimization approach has been applied over diagnosis of brain tumor patients. The objective is to present how the existing approach of feasibility and optimality techniques of OR are applied. In the healthcare to minimize the cost of patient treatment, that is accomplish in two parts, first we introduced the existing three methods (North-west corner cell method, Minimum cost method, and Vogel’s approximation method) of getting initial basic feasible solution. Secondly we applied the stepping stone method that is used to optimize the treatment cost.
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...
Mobile Learning (M-Learning), driven by technological digital advancement, is one of the essentia... more Mobile Learning (M-Learning), driven by technological digital advancement, is one of the essential formats of online learning, providing flexibility to learners. Cloud-based mobile learning (CBML) provides value additions by providing an economic alternative to E-learning. Revolutionary changes in smartphone design and features have enhanced the user experience, thus encouraging mobile learning. During the COVID-19 pandemic, E-Learning and M-Learning allowed continuing education to occur. These methods continue to offer more opportunities to learners than constrained face-to-face classroom learning. There are many main critical success factors (CSFs) and subfactors that play an influential role in sustainable M-Learning success. The current study focuses on the assessment and ranking of various main factors and subfactors of CBML. Analytic hierarchy process-group decision-making (AHP-GDM)- and fuzzy analytic hierarchy process (FAHP)-based methodologies were used to evaluate and mode...
E-Learning is a popular computer-based teaching–learning system that has been rapidly gaining glo... more E-Learning is a popular computer-based teaching–learning system that has been rapidly gaining global attention during and post COVID-19. The leaping changes in digital technology have enabled E-Learning to become more effective in recent years. It offers freedom from restrictions caused by geographical boundaries and provides time flexibility in the teaching–learning process. Apart from its numerous advantages, the success of E-Learning depends upon many critical success factors (CSFs) and barriers. If the barriers that lie in the way of successful E-Learning implementation are not addressed diligently, it will limit E-Learning success. It has been revealed through past research that these barriers are serious threats that need immediate attention in their redressal. This paper attempts to reveal sixteen barriers under four different dimensions by going through a comprehensive review of the literature and engaging decision makers. Furthermore, it uses the Analytic Hierarchy Process-...
The classification technology of hyperspectral images (HSI) consists of many contiguous spectral ... more The classification technology of hyperspectral images (HSI) consists of many contiguous spectral bands that are often utilized for a various Earth observation activities, such as surveillance, detection, and identification. The incorporation of both spectral and spatial characteristics is necessary for improved classification accuracy. In the classification of hyperspectral images, deep learning has gained significant traction. This research analyzes how to accurately classify new HSI from limited samples with labels. A novel deep-learning-based categorization based on feature extraction and classification is designed for this purpose. Initial extraction of spectral and spatial information is followed by spectral and spatial information integration to generate fused features. The classification challenge is completed using a compressed synergic deep convolution neural network with Aquila optimization (CSDCNN-AO) model constructed by utilising a novel optimization technique known as ...
Monitoring systems based on artificial intelligence (AI) and wireless sensors are in high demand ... more Monitoring systems based on artificial intelligence (AI) and wireless sensors are in high demand and give exact data extraction and analysis. The main objective of this paper is to detect the most appropriate plant development parameters. This paper has the concept of reducing the hazards in agriculture and promoting intelligent farming. Advancement in agriculture is not new, but the AI-based wireless sensor will push intelligent agriculture to a new standard. The research goal of this work is to improve the prediction state using image processing-based machine learning techniques. The main objective of the paper, as described above, is to detect and control cotton leaf diseases. This paper comprises several aspects, including leaf disease detection, remote monitoring system depending on the server, moisture and temperature sensing, and soil sensing. Insects and pathogens are typically responsible for plant diseases that reduce productivity if not timely. This paper presents a metho...
Looking at the issues of low efficiency, poor control performance, and difficult access control o... more Looking at the issues of low efficiency, poor control performance, and difficult access control of the traditional role-based access control model, an artificial intelligence technique-based power information system access control model has been designed. The detector is designed by artificial intelligence technology, combining artificial neural network, and artificial immune algorithm, which provide the basis for checking the access request module. It has been proved that the design model can effectively support the access and modification of legitimate users and prevent illegal users from accessing, and the control accuracy is high. The use of artificial intelligence (AI) in the power sector is now reaching emerging markets, where it may have a critical impact, as clean, cheap, and reliable energy is essential to development. Artificial intelligence can be proven very efficient for resolving the control and decision-making issues in high complex systems.
Diabetes problems can lead to a condition called diabetic retinopathy (DR), which permanently dam... more Diabetes problems can lead to a condition called diabetic retinopathy (DR), which permanently damages the blood vessels in the retina. If not treated, DR is a significant cause of blindness. The only DR treatments currently accessible are those that block or delay vision loss, which emphasizes the value of routine scanning with high-efficiency computer-based technologies to identify patients early. The major goal of this study is to employ a deep learning neural network to identify diabetic retinopathy in the retina’s blood vessels. The NN classifier is put to the test using the input fundus image and DR database. It effectively contrasts retinal images and distinguishes between classes when there is a legitimate edge. For the resolution of the problems in the photographs, it is particularly useful. Here, it will be tested to see if the classification of diabetic retinopathy is normal or abnormal. Modifying the existing study’s conclusion strategy, existing diabetic retinopathy tech...
This study firstly aims to understand how social networking site usage results in online social c... more This study firstly aims to understand how social networking site usage results in online social capital formation, considering two different types of social networking sites (SNS)—LinkedIn and Facebook. It further aims to investigate if the process varies among different social networking sites or remains uniform. This study also validates two prominent scales, namely the Facebook Intensity Scale (FIS) and the Internet Social Capital Scale (ISCS). A structured questionnaire was administered through various social media platforms resulting in a total of 329 valid responses (167 LinkedIn users and 162 Facebook users). Applying the partial least squares method of structural equation modelling, it was found that social networking site use results in the formation of both online-bonding and online-bridging social capital for both types of SNS. Further, moderation analysis results show that the type of SNS platform does not affect the relationship between SNS intensity and online social c...
Lung disease is one of the most harmful diseases in traditional days and is the same nowadays. Ea... more Lung disease is one of the most harmful diseases in traditional days and is the same nowadays. Early detection is one of the most crucial ways to prevent a human from developing these types of diseases. Many researchers are involved in finding various techniques for predicting the accuracy of the diseases. On the basis of the machine learning algorithm, it was not possible to predict the better accuracy when compared to the deep learning technique; this work has proposed enhanced artificial neural network approaches for the accuracy of lung diseases. Here, the discrete Fourier transform and the Burg auto-regression techniques are used for extracting the computed tomography (CT) scan images, and feature reduction takes place by using principle component analysis (PCA). This proposed work has used the 120 subjective datasets from public landmarks with and without lung diseases. The given dataset is trained by using an enhanced artificial neural network (ANN). The preprocessing techniq...
Most of the people all over the world pass away from complications related to lung cancer every s... more Most of the people all over the world pass away from complications related to lung cancer every single day. It is a deadly form of the disease. To improve a person’s chances of survival, an early diagnosis is a necessary prerequisite. In this regard, the existing methods of tumour detection, such as CT scans, are most commonly used to recognize infected regions. Despite this, there are certain obstacles presented by CT imaging, so this paper proposes a novel model which is a correlation-based model designed for analysis of lung cancer. When registering pictures of thoracic and abdominal organs with slider motion, the total variation regularization term may correct the border discontinuous displacement field, but it cannot maintain the local characteristics of the image and loses the registration accuracy. The thin-plate spline energy operator and the total variation operator are spatially weighted via the spatial position weight of the pixel points to construct an adaptive thin-plat...
Instructional practices have undergone a drastic change as a result of the development of new edu... more Instructional practices have undergone a drastic change as a result of the development of new educational technology. Artificial intelligence (AI) as a teaching and learning technology will be examined in this theoretical review study. To enhance the quality of teaching and learning, the use of artificial intelligence approaches is being studied. Artificial intelligence integration in educational institutions has been addressed, though. Students’ assistance, teaching, learning, and administration are also addressed in the discussion of students’ adoption of artificial intelligence. Artificial intelligence has the potential to revolutionize our social interactions and generate new teaching and learning methods that may be evaluated in a variety of contexts. New educational technology can help students and teachers better accomplish and manage their educational objectives. Artificial intelligence algorithms are used in a hybrid teaching mode in this work to examine students’ attribute...
The generic Drugs are consumed on large scale used and prescribed by medical practitioner. There ... more The generic Drugs are consumed on large scale used and prescribed by medical practitioner. There are number of generic drugs available in market in form of e.g., Soft Gilatine Capsule, Hard Gilatine Capsule and Tablets etc. Study was carried out by using various microbiological techniques to isolate and identify pathogens. From 20 drugs samples four isolates of Escherichia coli and five isolates of Pseudomonas and six isolate of Staphylococcus aureus were obtained. Thus it seems that genericdrugs samples may cause illness. Contamination of pharmaceuticals with microorganisms irrespective whether they are harmful or nonpathogenic can bring about changes in physicochemical characteristics of the medicines. Although sterility is not a requirement in official compendia for nonsterile pharmaceuticals, bioburdens need to be within acceptable limits. Therefore, this study investigated microbial contamination of 10 nonsterile pharmaceuticals frequently delivered to outpatients by identifyin...
Bindusara River was monitored on monthly basis for the core physicochemical parameter like pH, Te... more Bindusara River was monitored on monthly basis for the core physicochemical parameter like pH, Temperature, DO, BOD, TS, TDS, and TSS at three different sampling sites beween August to December 2010.'The R.esult of the investigation has shown the pH io Ui in the narrow acidicalkaline range. The temperature varied between 22 to 32 oC. TS, fDS, fSS values were very high at all the three sites, being maximum at site III fotlowed by site II and site I. DO values iorgia from 1.8 mg/Lto 5.8 mg/L
The transportation industry is crucial to the realization of a smart city. However, the current g... more The transportation industry is crucial to the realization of a smart city. However, the current growth in vehicle numbers is not being matched by an increase in road capacity. Congestion may boost the number of accidents, harm economic growth, and result in higher gas emissions. Currently, traffic congestion is seen as a severe threat to urban life. Suffering as a result of increased car traffic, insufficient infrastructure, and inefficient traffic management has exceeded the tolerance limit. Since route decisions are typically made in a short amount of time, the visualization of the data must be presented in a highly conceivable way. Also, the data generated by the transportation system face difficulties in processing and sometimes lack effective usage in certain fields. Hence, to overcome the challenges in computer vision, a novel computer vision-based traffic management system is proposed by integrating a wireless sensor network (WSN) and visual analytics framework. This research...
2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences (ICETAS), 2018
Student satisfaction with the courses taught in various programs is one of the main factors affec... more Student satisfaction with the courses taught in various programs is one of the main factors affecting student achievement and overall success of educational programs. Technology has added significant improvement to the quality of delivery, resulting in a performance equivalent to traditional face-to-face delivery modes. This paper is intended to evaluate the satisfaction of female students taught by means of interactive television (ITV) in Saudi Arabia and determining the factors that may predict the satisfaction in this medium. A sample of 108 undergraduate students pursuing various undergraduate programs were studied to measure their satisfaction on four facets of satisfaction in distance learning (course management; instructor; technology; and overall). The paper will be of significance to the various universities where students are being taught using ITV in understanding the aspects of delivery that need to be improved. The results of the study will also contribute to the extant empirical research on distance education.
2019 International Conference on Computer and Information Sciences (ICCIS), 2019
The aim of this paper is to optimize the treatment cost of brain tumor patients. In our proposed ... more The aim of this paper is to optimize the treatment cost of brain tumor patients. In our proposed approach, application of optimality of operation research (OR) have been introduced to develop an effective OR models in healthcare. OR and its applications are powerful decision making tools. We have used OR tools as a resource to optimize the cost in healthcare. The optimization approach has been applied over diagnosis of brain tumor patients. The objective is to present how the existing approach of feasibility and optimality techniques of OR are applied. In the healthcare to minimize the cost of patient treatment, that is accomplish in two parts, first we introduced the existing three methods (North-west corner cell method, Minimum cost method, and Vogel’s approximation method) of getting initial basic feasible solution. Secondly we applied the stepping stone method that is used to optimize the treatment cost.
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...
Mobile Learning (M-Learning), driven by technological digital advancement, is one of the essentia... more Mobile Learning (M-Learning), driven by technological digital advancement, is one of the essential formats of online learning, providing flexibility to learners. Cloud-based mobile learning (CBML) provides value additions by providing an economic alternative to E-learning. Revolutionary changes in smartphone design and features have enhanced the user experience, thus encouraging mobile learning. During the COVID-19 pandemic, E-Learning and M-Learning allowed continuing education to occur. These methods continue to offer more opportunities to learners than constrained face-to-face classroom learning. There are many main critical success factors (CSFs) and subfactors that play an influential role in sustainable M-Learning success. The current study focuses on the assessment and ranking of various main factors and subfactors of CBML. Analytic hierarchy process-group decision-making (AHP-GDM)- and fuzzy analytic hierarchy process (FAHP)-based methodologies were used to evaluate and mode...
E-Learning is a popular computer-based teaching–learning system that has been rapidly gaining glo... more E-Learning is a popular computer-based teaching–learning system that has been rapidly gaining global attention during and post COVID-19. The leaping changes in digital technology have enabled E-Learning to become more effective in recent years. It offers freedom from restrictions caused by geographical boundaries and provides time flexibility in the teaching–learning process. Apart from its numerous advantages, the success of E-Learning depends upon many critical success factors (CSFs) and barriers. If the barriers that lie in the way of successful E-Learning implementation are not addressed diligently, it will limit E-Learning success. It has been revealed through past research that these barriers are serious threats that need immediate attention in their redressal. This paper attempts to reveal sixteen barriers under four different dimensions by going through a comprehensive review of the literature and engaging decision makers. Furthermore, it uses the Analytic Hierarchy Process-...
The classification technology of hyperspectral images (HSI) consists of many contiguous spectral ... more The classification technology of hyperspectral images (HSI) consists of many contiguous spectral bands that are often utilized for a various Earth observation activities, such as surveillance, detection, and identification. The incorporation of both spectral and spatial characteristics is necessary for improved classification accuracy. In the classification of hyperspectral images, deep learning has gained significant traction. This research analyzes how to accurately classify new HSI from limited samples with labels. A novel deep-learning-based categorization based on feature extraction and classification is designed for this purpose. Initial extraction of spectral and spatial information is followed by spectral and spatial information integration to generate fused features. The classification challenge is completed using a compressed synergic deep convolution neural network with Aquila optimization (CSDCNN-AO) model constructed by utilising a novel optimization technique known as ...
Monitoring systems based on artificial intelligence (AI) and wireless sensors are in high demand ... more Monitoring systems based on artificial intelligence (AI) and wireless sensors are in high demand and give exact data extraction and analysis. The main objective of this paper is to detect the most appropriate plant development parameters. This paper has the concept of reducing the hazards in agriculture and promoting intelligent farming. Advancement in agriculture is not new, but the AI-based wireless sensor will push intelligent agriculture to a new standard. The research goal of this work is to improve the prediction state using image processing-based machine learning techniques. The main objective of the paper, as described above, is to detect and control cotton leaf diseases. This paper comprises several aspects, including leaf disease detection, remote monitoring system depending on the server, moisture and temperature sensing, and soil sensing. Insects and pathogens are typically responsible for plant diseases that reduce productivity if not timely. This paper presents a metho...
Looking at the issues of low efficiency, poor control performance, and difficult access control o... more Looking at the issues of low efficiency, poor control performance, and difficult access control of the traditional role-based access control model, an artificial intelligence technique-based power information system access control model has been designed. The detector is designed by artificial intelligence technology, combining artificial neural network, and artificial immune algorithm, which provide the basis for checking the access request module. It has been proved that the design model can effectively support the access and modification of legitimate users and prevent illegal users from accessing, and the control accuracy is high. The use of artificial intelligence (AI) in the power sector is now reaching emerging markets, where it may have a critical impact, as clean, cheap, and reliable energy is essential to development. Artificial intelligence can be proven very efficient for resolving the control and decision-making issues in high complex systems.
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Papers by Quadri Noorulhasan Naveed