Communication and Intelligent Systems (eBook, PDF)

Proceedings of ICCIS 2022, Volume 1
Redaktion: Sharma, Harish; Wang, Lipo; Bharti, Kusum Kumari; Shrivastava, Vivek

• Format: PDF

Produktbeschreibung

This book gathers selected research papers presented at the Fourth International Conference on Communication and Intelligent Systems (ICCIS 2022), organized by National institute of Technology, Delhi, India, during December 19-20, 2022. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source. The book is presented in two volumes.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 729
• Erscheinungstermin: 24. Juli 2023
• Englisch
• ISBN-13: 9789819921003
• Artikelnr.: 68478287

Autorenporträt

Harish Sharma is Associate Professor at Rajasthan Technical University, Kota, in the Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University, Kota, and Government Engineering College Jhalawar. He received his B.Tech. and M.Tech. degrees in Computer Engineering from the Government Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is Secretary and one of the founder members of Soft Computing Research Society of India. He is Lifetime Member of Cryptology Research Society of India, ISI, Kolkata. He is Associate Editor of "International Journal of Swarm Intelligence (IJSI)" published by Inderscience. He has also edited special issues of the many reputed journals like "Memetic Computing", "Journal of Experimental and Theoretical Artificial Intelligence", "Evolutionary Intelligence",etc. His primary area of interest is nature-inspired optimization techniques. He has contributed in more than 105 papers published in various international journals and conferences. Dr. Vivek Shrivastava has approx. 20 years of diversified experience of scholarship of teaching and learning, accreditation, research, industrial, and academic leadership in India, China, and USA. Presently, he is holding the position of Dean Research & Consultancy at National Institute of Technology Delhi. Prior to his academic assignments, he has worked as System Reliability Engineer at SanDisk Semiconductors Shanghai, China, and USA. Dr. Shrivastava has significant industrial experience of collaborating with industry and government organizations at SanDisk Semiconductors and has made significant contribution to the design development of memory products. He has contributed to the development and delivery of Five-Year Integrated B.Tech. and M.Tech. programs (Electrical Engineering) and master's program (Power Systems) at Gautam Buddha University, Greater Noida. He has extensive experience academic administration in various capacities of Dean (Research & Consultancy), Dean (Student Welfare), Faculty In-Charge (Training & Placement), Faculty In-Charge (Library), Nodal Officer (Academics, TEQIP-III), Nodal Officer RUSA, and Expert in various committees in AICTE, UGC, etc. Dr. Shrivastava has carried out research and consultancy and attracted significant funding projects from the Ministry of Human Resources & Development, Government of India, and Board of Research in Nuclear Science (BRNS), subsidiary organization of Bhabha Atomic Research Organization. Dr. Shrivastava has published over 80 journal articles, presented papers at conferences, and has published several chapters in books. He has supervised 05 Ph.D. and 16 master's students and is currently supervising several Ph.D. students. His diversified research interests are in the areas of reliability engineering, renewableenergy, and conventional power systems which include Wind, Photovoltaic (PV), Hybrid Power Systems, Distributed Generation, Grid Integration of Renewable Energy, Power Systems Analysis, and Smart Grid. Dr. Shrivastava is Editor/Associate Editor of the journals like International Journal of Swarm Intelligence (IJSI) and International Journal of System Assurance Engineering and Management. He is Fellow of the Institution of Engineers (India) and Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). Dr. Kusum Bharti is Assistant Professor at PDPM IIITDM Jabalpur. Dr. Bharti has obtained her Ph.D. in Computer Science & Engineering from ABV-IIITM, Gwalior. She has guided 06 M.Tech. students and is presently guiding 02 Ph.D. students and 05 M.Tech. students. She has published more than 12 journal and conference papers in the area of text clustering, data mining, online social network, and soft computing. She has been Active Member of many organizing committees of various conferences, workshops, and faculty development programs. Her research areas include Machine Learning, Data Mining, Machine Translation, Online Social Network, and Soft Computing. Dr. Lipo Wang received the bachelor's degree from National University of Defense Technology (China) and Ph.D. from Louisiana State University (USA). He is presently on Faculty at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence with applications to image/video processing, biomedical engineering, and data mining. He has 330+ publications, a US patent in neural networks, and a patent in systems. He has co-authored 2 monographs and (co-)edited 15 books. He has 8,000+ Google Scholar citations, with H-index 43. He was Keynote Speaker for 36 international conferences. He is/was Associate Editor/Editorial Board Member of 30 international journals, including 4 IEEE Transactions, and Guest Editor for 10 journal special issues. He was Member of the Board of Governors of the International Neural Network Society, IEEE Computational Intelligence Society (CIS), and the IEEE Biometrics Council. He served as CIS Vice President for Technical Activities and Chair of Emergent Technologies Technical Committee, as well as Chair of Education Committee of the IEEE Engineering in Medicine and Biology Society (EMBS). He was President of the Asia-Pacific Neural Network Assembly (APNNA) and received the APNNA Excellent Service Award. He was Founding Chair of both the EMBS Singapore Chapter and the CIS Singapore Chapter. He serves/served as Chair/Committee Member of over 200 international conferences.

Inhaltsangabe

Network Coverage and Event Detection in Mobile Sensor Networks.- Attention Guided Human Fall Detection for Elderly Patient Monitoring.- SDN Enabled IoT to Combat the DDoS Attacks.- Analysis of Existing Datasets of Household Objects for AI-enabled Techniques.- In silico Molecular Docking Study by using Bio-Informatics Database to Fabricate M Cell Targeting Nanocarrier System for Oral Delivery of Macromolecules.- Open Source Datasets for Colonoscopy Polyps and its AI-enabled Techniques.- Cloud based House Price Predictor App using Machine Learning.- Compendium of Qubit Technologies in Quantum Computing.- A Novel Post Quantum Piekert's Reconciliation Based Forward Secure Authentication Key Agreement for Mobile Devices.- An Overview of IoT and Smart Application Environments: Research and Challenges.- Human Detection and Tracking Based on YOLOv3 and DeepSORT.- Smart City: Road Traffic Monitoring System Based on the Integration of IoT and ML.- Weed Detection in Crops using Lightweight EfficientNets.- Meta-Heuristics for the Single Channel PMU Placement Problem Considering Zero-Injection-Buses.- Comparative Analysis of Different Machine Learning Approaches for Sentiment Analysis.- A Comprehensive Investigation of Machine Learning Algorithms with SMOTE Integration to maximize F1 Score.- Detection of Pathological Myopia from Fundus Images.