Information and Communication Technology for Competitive Strategies (ICTCS 2021) (eBook, PDF)

Intelligent Strategies for ICT
Redaktion: Kaiser, M. Shamim; Rathore, Vijay Singh; Xie, Juanying

• Format: PDF

Produktbeschreibung

This book contains best selected research papers presented at ICTCS 2021: Sixth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held at Jaipur, Rajasthan, India, during December 17-18, 2021. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics, and IT security. The book is presented in two volumes.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 807
• Erscheinungstermin: 9. Juni 2022
• Englisch
• ISBN-13: 9789811900983
• Artikelnr.: 64164806

Autorenporträt

Dr. M Shamim Kaiser is currently working as Professor at the Institute of Information Technology of Jahangirnagar University, Savar, Dhaka-1342, Bangladesh. He received his Bachelor's and Master's degrees in Applied Physics Electronics and Communication Engineering from the University of Dhaka, Bangladesh, in 2002 and 2004, respectively, and the Ph. D. degree in Telecommunication Engineering from the Asian Institute of Technology (AIT), Pathumthani, Thailand, in 2010. His current research interests include data analytics, machine learning, wireless network & signal processing, cognitive radio network, big data and cybersecurity, and renewable energy. He has authored more than 100 papers in different peer-reviewed journals and conferences. He is Associate Editor of the IEEE Access Journal and Guest Editor of Brain Informatics Journal and Cognitive Computation Journal. Dr. Kaiser is Life Member of Bangladesh Electronic Society, Bangladesh Physical Society. He is also Senior Member of IEEE, USA, and IEICE, Japan, and Active Volunteer of the IEEE Bangladesh Section. He is founding Chapter Chair of the IEEE Bangladesh Section Computer Society Chapter. Dr. JUANYING XIE is currently Professor at Shaanxi Normal University, Xi'an, China. I have been Full Professor at School of Computer Science of Shaanxi Normal University in PR China. My research interests include machine learning, data mining, and biomedical data analysis. I have published around 50 research papers and published 2 monograph books. I have been Associate Editor of Health Information Science and Systems. I have been Program Committee Member of several international conferences, such as the international conference on Health Information Science, etc. I have been Senior Member of China Computer Federation (CCF), Member of Chinese Association for Artificial Intelligence (CAAI), Member of Artificial Intelligence and Pattern Recognition Committee of CCF, and Member of Machine Learning Committee of CAAI, etc. I have been a peer reviewer for many journals, such as "Information Sciences" and "IEEE trans. on cybernetics," etc. I was awarded my Ph.D. in signal and information processing from Xidian University. I cooperated with Prof. Xiaohui Liu at Brunel University in UK from 2010 to 2011 in machine learning and gene selection research. I received an engineering master degree in the application technology of computers at Xidian University and a bachelor degree of science in computer science at Shanxi Normal University. Dr. Vijay Singh Rathore is presently working as Professor in the Department of CS & IT, IIS (Deemed to be) University, Jaipur (India). He received Ph.D. from the University of Rajasthan and has teaching experience of 20 years. He is Secretary, ACM Jaipur Chapter, Past Chairman, CSI Jaipur Chapter, got two patents published, Ph.D. Supervised (Awarded: 16, UnderSupervision: 07), 80+ research papers, and 10+ books got published. He is handling international affairs of The IIS University, Jaipur. His research areas are Internet security, cloud computing, big data, and IoT.

Inhaltsangabe

Efficient Prediction of Fake News using Novel Ensemble Technique based on Machine Learning Algorithm.- Hybrid APSGA (Ant Particle Swarm Genetic) Algorithm for Task Scheduling in Cloud Computing.- Anonymization of Multi-Relations Datasets using Single Table Algorithms.- Analytical Performance of QO-STBC Transmission for Shadowed-Rician (SR) Fading Channels.- Smart Health and Cybersecurity in the Era of Artificial Intelligence.- A Comprehensive Framework for the IoT based Smart Home Automation Using Blynk.- Predict Future Events Over Smart Environment Through Modified Apriori Algorithm.- Imbibing Auxiliary Information using Transfer Learning to Improve Collaborative Filtering based Recommender System.- An Efficient Resource Allocation Mechanism using Intelligent Scheduling for Managing Energy in Cloud Computing Infrastructure.- Online Learning App.- An Efficient Underwater Image Restoration Model for Digital Image Processing.