Futuristic Trends in Networks and Computing Technologies

TRAMA

This book constitutes the refereed proceedings of the Fourth International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2021. The prime aim of the conference is to invite researchers from different domains of network and communication technologies to a single platform to showcase their research ideas. The selected papers are organized in topical sections on network and computing technologies; wireless networks and Internet of Things (IoT); futuristic computing technologies; communication technologies, security, and privacy. The volume will serve as a reference resource for researchers and practitioners in academia and industry.

SOMMARIO

Classification of Hate Tweets using Hybrid Deep Belief Network Algorithm.- Q-TOMEC: Q-Learning based Task Offloading in Mobile Edge Computing.- Autonomous Mobile Robot for Inventory Management in Retail Industry.- Evaluating tip selection Algorithms for IOTA Blockchain.- Randomly Hiding Secret Data Using I-Blocks and Eblocks for Image Steganography.- Diabetic Retinopathy classification using pixel level lesion segmentation.- Machine Learning based Scene Classification using Thepade’s SBTC, LBP and GLCM.- Prediction of Trait Anxiety in Humans.- Face Recognition and Detection Algorithm- A Review.- Personality Recognition for Candidate Screening.- Face Identification through Facial Skeletal Features.- Blockchain Security: A Systematic Review.- Profiling Cyber Crimes from news portals using web scraping.- Differential Privacy Mechanisms: A State of the Art Survey.

AUTORE

Pradeep Kumar Singh is a Professor and Head in the Department of Computer Science at KIET Group of Institutions, Delhi-NCR Campus, India. He is recently appointed as a Section Editor, Discover IoT, Springer Journal. He has published over 120 research papers. Dr. Singh has received three sponsored research project grants worth Rs 25 Lakhs. He has edited a total of 16 books and also edited several special issues for SCI and SCIE Journals published by reputed international publishers.  Slawomir T. Wierzchon received M.Sc. and Ph.D. degrees in Computer Science from the Technical University of Warsaw, Poland. He holds a Habilitation (DSc) in Uncertainty Management from the Polish Academy of Sciences. In 2003 he received the title of Professor from the President of Poland. Currently, he is a full professor at the Institute of Computer Science of the Polish Academy of Sciences. His research interests include computational intelligence, uncertainty management, information retrieval, machine learning, and data mining. He is an author/co-author of over 100 peer-reviewed papers in international journals and international conferences. He published, as author/co-author, 11 monographs from the field of Machine Learning.  Jitender Kumar Chhabra is a Professor in the Computer Engineering Department at the National Institute of Technology, Kurukshetra, India. He has published 120 papers in reputed International and National Journals and conferences including over 40 publications. His research interest areas are software metrics, data mining, soft computing, machine learning, algorithms & related areas. He is a reviewer for most reputed journals such as IEEE Transactions, ACM Transactions, etc.  Sudeep Tanwar is a Professor in the Computer Engineering Department at the Institute of Technology of Nirma University, Ahmedabad, India. He received his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in wireless sensor networks. His current interests include routing issues in WSN, integration of sensors in the cloud, computational aspects of smart grids, and blockchain technology. He has authored or co-authored more than 150 technical research papers published in leading peer-reviewed international journals and Conferences. He is an associate editor of the Security and Privacy Journal and is a member of the IAENG, ISTE, and CSTA.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9789811950391
• Collana: Lecture Notes in Electrical Engineering
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XXIV, 1125 p. 526 illus., 431 illus. in color. In 2 volumes, not available separately.
• Pagine Arabe: 1125
• Pagine Romane: xxiv