This book includes high-quality research papers presented at the Seventh International Conference on Innovative Computing and Communication (ICICC 2024), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 16-17 February 2024. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications. …mehr
This book includes high-quality research papers presented at the Seventh International Conference on Innovative Computing and Communication (ICICC 2024), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 16-17 February 2024. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Dr. (Prof.) Aboul Ella Hassanein is the founder and head of the Egyptian Scientific Research Group (SRGE). Hassanien has more than 1000 scientific research papers published in prestigious international journals and over 50 books covering such diverse topics as data mining, medical images, intelligent systems, social networks, and smart environment. Prof. Hassanien won several awards including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award in humanities at the University of Kuwait for the 2004 Award and received the Superiority of Scientific-University Award (Cairo University, 2013). Also, he honored in Egypt as the best researcher at Cairo University in 2013. He was also received the Islamic Educational, Scientific, and Cultural Organization (ISESCO) Prize on Technology (2014) and received the State Award for Excellence in Engineering Sciences 2015. Dr. Sameer Anand is currently working as an assistant professor in the Department of Computer Science at Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi. He has received his M.Sc., M.Phil, and Ph.D. (Software Reliability) from Department of Operational Research, University of Delhi. He is a recipient of 'Best Teacher Award' (2012) instituted by Directorate of Higher Education, Govt. of NCT, Delhi. The research interest of Dr.Anand includes operational research, software reliability, and machine learning. He has completed an innovation project at the University of Delhi. He has worked in different capacities in international conferences. Dr. Anand has published several papers in the reputed journals like IEEE Transactions on Reliability, International Journal of Production Research (Taylor & Francis), International Journal of Performability Engineering, etc. He is a member of Society for Reliability Engineering, Quality, and Operations Management. Dr. Sameer Anand has more than 16 years of teaching experience. Dr. Ajay Jaiswal is currently serving as an assistant professor in the Department of Computer Science of Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi. He is a co-editor of two books/journals and co-author of dozens of research publications in international journals and conference proceedings. His research interest includes pattern recognition, image processing, and machine learning. He has completed an interdisciplinary project titled "Financial Inclusion-Issues and Challenges: An Empirical Study" as Co-PI. This project was awarded by the University of Delhi. He obtained his masters at the University of Roorkee (now IIT Roorkee) and Ph.D. from Jawaharlal Nehru University, Delhi. He is a recipient of the best teacher award from the Government of NCT of Delhi. He has more than nineteen years of teaching experience. Dr. (Prof.) Prabhat Kumar is a professor in Computer Science and Engineering Department at National Institute of Technology Patna, India.He is a senior member of IEEE, professional member of ACM, life member of CSI, IAENG, ISTE and global member of Internet Society. Dr. Prabhat Kumar has more than 125 publications in reputed international journals and conferences. He has published two books, completed two research projects and has an Indian patent. He has supervised 6 Ph.D. and 25 M.Tech. scholars. He has chaired various sessions in several international conferences held in India and abroad. He is the member of the reviewing committee for several reputed SCI and SCOPUS indexed Journals. He has delivered Expert Lectures at leading institutions including IITs, NITs, IIITs, etc. His research area includes wireless sensor networks, Internet of things, data analytics, software engineering, E-governance, etc.
Inhaltsangabe
Cybersecurity Threats and Countermeasures for IoT Devices.- Relationship between Website Atmospherics and Online Consumer Behavior.- MIMO and Chaotic Communication: Systematic Literature Review.- Crop-recommendation in Spatial Clusters Using Meta-heuristics and Machine Learning Techniques.- Black Gram Leaf Disease Detection Model using Combination of Hybrid-CNN Network and Transformer-Based Classification Model.- Multimodal Posture Monitoring and Eye Health Surveillance.- Efficient Feature Selection for IoT Security: A Comparative Analysis of Swarm Optimization Algorithms in Attack Detection.- Analysis of Feature Extraction Technique LBP and Classification Model SVM for CECT images.- ADHD Scout: Mobile Application for Home-Based Screening to Facilitate Early Detection of ADHD in Children.- Enhancing Solutions by Implementing Nash Equilibrium Strategies Using Python.- Target Specific Stance Detection from Social Media with Multilayer Perceptron.- Web Based Application For Medicinal Plant Identification Using Transfer Learning Approach.- Navigating Challenges in India's Milk Industry: An In-Depth Review on Cattle Healthcare, Technology, and Market Dynamics.
Cybersecurity Threats and Countermeasures for IoT Devices.- Relationship between Website Atmospherics and Online Consumer Behavior.- MIMO and Chaotic Communication: Systematic Literature Review.- Crop-recommendation in Spatial Clusters Using Meta-heuristics and Machine Learning Techniques.- Black Gram Leaf Disease Detection Model using Combination of Hybrid-CNN Network and Transformer-Based Classification Model.- Multimodal Posture Monitoring and Eye Health Surveillance.- Efficient Feature Selection for IoT Security: A Comparative Analysis of Swarm Optimization Algorithms in Attack Detection.- Analysis of Feature Extraction Technique LBP and Classification Model SVM for CECT images.- ADHD Scout: Mobile Application for Home-Based Screening to Facilitate Early Detection of ADHD in Children.- Enhancing Solutions by Implementing Nash Equilibrium Strategies Using Python.- Target Specific Stance Detection from Social Media with Multilayer Perceptron.- Web Based Application For Medicinal Plant Identification Using Transfer Learning Approach.- Navigating Challenges in India's Milk Industry: An In-Depth Review on Cattle Healthcare, Technology, and Market Dynamics.
Cybersecurity Threats and Countermeasures for IoT Devices.- Relationship between Website Atmospherics and Online Consumer Behavior.- MIMO and Chaotic Communication: Systematic Literature Review.- Crop-recommendation in Spatial Clusters Using Meta-heuristics and Machine Learning Techniques.- Black Gram Leaf Disease Detection Model using Combination of Hybrid-CNN Network and Transformer-Based Classification Model.- Multimodal Posture Monitoring and Eye Health Surveillance.- Efficient Feature Selection for IoT Security: A Comparative Analysis of Swarm Optimization Algorithms in Attack Detection.- Analysis of Feature Extraction Technique LBP and Classification Model SVM for CECT images.- ADHD Scout: Mobile Application for Home-Based Screening to Facilitate Early Detection of ADHD in Children.- Enhancing Solutions by Implementing Nash Equilibrium Strategies Using Python.- Target Specific Stance Detection from Social Media with Multilayer Perceptron.- Web Based Application For Medicinal Plant Identification Using Transfer Learning Approach.- Navigating Challenges in India's Milk Industry: An In-Depth Review on Cattle Healthcare, Technology, and Market Dynamics.
Cybersecurity Threats and Countermeasures for IoT Devices.- Relationship between Website Atmospherics and Online Consumer Behavior.- MIMO and Chaotic Communication: Systematic Literature Review.- Crop-recommendation in Spatial Clusters Using Meta-heuristics and Machine Learning Techniques.- Black Gram Leaf Disease Detection Model using Combination of Hybrid-CNN Network and Transformer-Based Classification Model.- Multimodal Posture Monitoring and Eye Health Surveillance.- Efficient Feature Selection for IoT Security: A Comparative Analysis of Swarm Optimization Algorithms in Attack Detection.- Analysis of Feature Extraction Technique LBP and Classification Model SVM for CECT images.- ADHD Scout: Mobile Application for Home-Based Screening to Facilitate Early Detection of ADHD in Children.- Enhancing Solutions by Implementing Nash Equilibrium Strategies Using Python.- Target Specific Stance Detection from Social Media with Multilayer Perceptron.- Web Based Application For Medicinal Plant Identification Using Transfer Learning Approach.- Navigating Challenges in India's Milk Industry: An In-Depth Review on Cattle Healthcare, Technology, and Market Dynamics.
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