Proceedings of Second Doctoral Symposium on Computational Intelligence, 1st ed. 2022 DoSCI 2021 Advances in Intelligent Systems and Computing Series, Vol. 1374
Langue : Anglais
This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making.
Investigation of Consumer Perception towards Digital Means of Food Ordering Services.- A systematic review of blockchain technology to find current scalability issues and solutions.- Secured Blind Image Watermarking using Entropy Technique in DCT Domain .- Prediction of Heart Disease using Genetic Algorithm .- Secured information infrastructure for exchanging information for digital governance.- Spiral CAPTCHA with Adversarial Perturbation and its Security Analysis with Convolutional Neural Network.- Predicting classifiers efficacy in relation with data complexity metric using under-sampling techniques.- Energy Efficient Data Transmission in Wireless Body Area Network (WBAN).- A Survey: Approaches to Facial Detection and Recognition with Machine Learning Techniques.- An Energy and Space Efficient Trust based Secure Routing for OppIoT.- A Survey on Anomaly Detection Techniques in IoT .- Novel IoT End Device Architecture for Enhanced CIA: A Lightweight Security Approach.
Dr. Deepak Gupta is an eminent academician and plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, Ph.D. and post-doctorate supervision, etc. With 13 years of rich expertise in teaching and two years in industry; he focuses on rational and practical learning. He has contributed massive literature in the fields of human–computer interaction, intelligent data analysis, nature-inspired computing, machine learning and soft computing. He is working as Assistant Professor at Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India. He has served as Editor-in-Chief, Guest Editor, Associate Editor in SCI and various other reputed journals. He has authored/edited 44 books with national/international level publishers. He has published 140 scientific research publications in reputed international journals and conferences including 68 SCI indexed journals. He has also filed 3 patents.
Dr. Ashish Khanna has 16 years of rich expertise in teaching, entrepreneurship and research & development. He received his Ph.D. degree from National Institute of Technology, Kurukshetra. He has completed his M.Tech. and B.Tech. at GGSIPU, Delhi. He has completed his postdoc from Internet of Things Lab at Inatel, Brazil, and University of Valladolid, Spain. He has published around 61 SCI indexed papers in IEEE Transaction, Springer, Elsevier, Wiley and many more reputed journals with cumulative impact factor of above 160. He has around 120 research articles in top SCI/Scopus journals, conferences and book chapters. He is the co-author of around 30 edited and textbooks. His research interest includes MANET, FANET, IoT, machine learning and many more. He has served in the research field as Keynote Speaker/Faculty Resource Person/Session Chair/Reviewer/TPC Member/ Post-doctorate supervision. He is Convener and Organizer of ‘ICICC’ and ICDAM conference series. He has 3 published patent
Presents research works in the field of computational intelligence Provides original works presented at DoSCI 2021 held in Lucknow, India Serves as a reference for researchers and practitioners in academia and industry
Date de parution : 09-2021
Ouvrage de 923 p.
15.5x23.5 cm
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