Communication and Intelligent Systems: Proceedings of Iccis 2019

ISBN-13: 9789811533242 / Angielski / Miękka / 2020 / 511 str.

Jagdish Chand Bansal; Mukesh Kumar Gupta; Harish Sharma

Spis treści

Extremely High Capacity, Secure, Image Steganography based on composite Edge Detection, with message Integrity.- A Distributed Fault Analysis (DFA) Method for Fault Tolerance in High-Performance Computing Systems.- Software Cost Estimation For Python Projects Using Genetic Algorithm.- Performance Evaluation of Queue with Negative Arrivals, Second Optional Service and Unreliable Server in Communication Networks.- An Empirical Analysis on Retrieval of Math Information from the Scientific Documents.- One shot Digit classification based on Human concept learning.- Appropriateness of Machine Learning Techniques for TCP with MANETs.

O autorze

Dr. Jagdish Chand Bansal is an Associate Professor at South Asian University, New Delhi and a Visiting Research Fellow at Liverpool Hope University, UK. Holding a Ph.D. from the IIT Roorkee, Dr. Bansal is the Series Editor of the book series Algorithms for Intelligent Systems (AIS), published by Springer; Editor-in-Chief of the International Journal of Swarm Intelligence (IJSI), published by Inderscience; and an Associate Editor of IEEE ACCESS, published by IEEE. He is a steering committee member and the general chair of the annual conference series SocProS, and general secretary of the Soft Computing Research Society (SCRS). He has published more than 60 research papers in various journals and conference proceedings.

 

Dr. Mukesh Kumar Gupta is a Professor at the SKIT, Jaipur. Holding a Ph.D. in Computer Science & Engineering from the MNIT, Jaipur, his current research interests include the security of web applications based on machine learning techniques, and modeling of web applications. Dr. Gupta is a member of the IEEE & IEEE Computer Society and a Life Member of the Indian Society for Technical Education (ISTE). He serves on the editorial board/reviewer board of various prominent international conferences/journals, and has published more than 30 papers in various journals and conference proceedings.

 

Dr. Harish Sharma is an Associate professor at the RTU, Kota. Holding a Ph.D. from the ABV - Indian Institute of Information Technology and Management, Gwalior, India, he is the current secretary and one of the founder members of the Soft Computing Research Society of India. He is an Associate Editor of the International Journal of Swarm Intelligence (IJSI), published by Inderscience, and has also edited special issues of the journals Memetic Computing and Journal of Experimental and Theoretical Artificial Intelligence. He has published more than 50 papers in various journals and conference proceedings.

 

Dr. Basant Agarwal is currently working as an Assistant Professor at the Indian Institute of Information Technology Kota (IIIT) Kota, India. He has worked as a postdoctoral research fellow at the Norwegian University of Science and Technology (NTNU), Norway; and as a research scientist at Temasek Laboratories, National University of Singapore (NUS). His research interests are in natural language processing, machine learning, and deep learning. He has published more than 50 papers in various journals and conference proceedings.

Blurb

This book gathers selected research papers presented at the International Conference on Communication and Intelligent Systems (ICCIS 2019), organised by Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur, India and Rajasthan Technical University, Kota, India on 9–10 November 2019.

 

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.