Emerging Trends in Data Driven Computing and Communications

This book includes best selected, high-quality research papers presented at International Conference on Data Driven Computing and IoT (DDCIoT 2021) organized jointly by Geetanjali Institute of Technical Studies (GITS), Udaipur, and Rajasthan Technical University, Kota, India, during March 2021, 2021. This book presents influential ideas and systems in the field of data driven computing, information technology, and intelligent systems.

Presents research works in the field of data driven computing and IoT Gather the outcomes of the DDCIoT 2021, held virtually in March 2021 Offers a reference guide for researchers and practitioners in academia and industry

Auteur

Dr. Rajeev Mathur is serving as Professor and Dean in Geetanjali Institute of Technical Studies, Udaipur, Rajasthan, India. He received his Ph.D. from Jaipur, Masters in Engineering from NITTTR, Chandigarh, India, and B.E. degree in Electronics from VRCE (now VNIT), Nagpur University, in 1991. He joined industry Punjab Wireless System Ltd. Mohali, Chandigarh, and was working as City Manager for 6 Years. He served as Assistant Professor, Associate Professor, and Head at Engineering Institute at Alwar, Jodhpur. He was Founder Member, Head & Associate Prof. in Faculty of E & T, "Jodhpur National University," Jodhpur and Member of Board of management of the University. He was Director & Principal of Marwar Engineering College & Research Centre, Jodhpur, Rajasthan, India. He is "CMI level 5 certified in Management & Leadership by CMI Royal Chapter, UK." He is Senior Member of professional bodies IEEE, Charted Management Institute-UK, ATMS, and Lions International. He has published more than 50 papers in international journals including SCI/SCOPUS indexed journals. He also published 3 book chapters. He had been Keynote Speaker, Advisor in many conferences & Editor, and Reviewer of many international journals & international conferences. He also have published one patent in his name. His research interests are IoT, data driven computing, advanced antenna techniques, metamaterials, and evaluating nature of electromagnetic waves.
Dr. C.P. Gupta is presently serving at Rajasthan Technical University, Kota, Rajasthan, India, as Associate Professor. He pursued his Ph.D. from University of Kota, Kota in Wireless Sensor Network in 2014, Master of Technology from Indian Institute of Technology, Delhi, India, and Engineering degree from Malviya National Institute of Technology, Jaipur, India, in 1990. His research interests include computer networks, information, security, and wireless sensor networks. He is also an ISO27000 certified professional. He has published several papers in international & national journals and international conferences. He is appointed as Chief Editor in Seventh International Conference on Recent Trends in Information, Telecommunication and Computing. He is Member of professional society INSTICC.
Dr. Vaibhav Katewa is working as Assistant Professor, Department of Electrical Communication Engineering, and Associate Faculty, Robert Bosch Center for Cyber-Physical Systems, Indian Institute of Science, Bangalore, India. He has also served as Post-Doctoral Scholar in University of California Riverside, USA, in Dec. 2019, as Research Assistant, Department of Electrical Engineering, University of Notre Dame, USA, from May 2010 to Aug. 2015, and as Research Intern in Department of Electrical and Electronic Engineering at University College Cork, Ireland, from May 2006 to July 2006. He also has 3 years of industrial experience as Research Engineer inEthernet Development Tejas Networks, Bangalore, India, and Senior Research Associate, Intellectual Property Division at Evalueserve, Delhi, India. He pursued his Ph.D. in Electrical Engineering from University of Notre Dame, USA, in 2016, M.S. in Electrical Engineering in May 2012 from University of Notre Dame, USA, and B.Tech in Electrical Engineering from Indian Institute of Technology Kanpur, India, in 2007. He has published more than 35 papers in international journals of repute and two book chapters. He is Reviewer for many conferences and journals and is Guest Editor in Special Issue on "Swarm Intelligence Techniques for Optimum Utilization of Resources in Grid and Utility Computing," International Journal of Grid and Utility Computing, 2019, and Special Issue on "Smart Computing and Optimization," Journal of Information, and Optimization Sciences, 38(6), 2017.
Prof. Dharm Singh Jat is Professor, Department of Computer Science at Namibia University of Science and Technology (NUST), NAMIBIA. He is the author of more than 150 peer-reviewed articles and the author or editor of more than 20 books. He has been the recipient of more than 19 prestigious awards, such as Eminent Scientist Award, Distinguished Academic Achievement, Eminent Engineering Personality, CSI Chapter Patron, CSI Significant Contribution, Best Faculty Researcher, Best Technical Staff, Outstanding University Service Award, and Distinguished ACM Speaker award. Prof Dharm Singh is Fellow of The Institution of Engineers (I), Fellow of Computer Society of India, Chartered Engineer (I), Senior Member IEEE, and Distinguished ACM Speaker.
Dr. Neha Yadav received her Ph.D. in Mathematics from Motilal Nehru National Institute of Technology, (MNNIT) Allahabad, India, in the year 2013. She completed her post-doctorate from Korea University, Seoul, South Korea. She is a receiver of Brain Korea (BK-21) postdoctoral fellowship given by Government of Republic of Korea. Prior to joining NIT Hamirpur, she taught courses and conducted research at BML Munjal University, Gurugram, Korea University Seoul, S. Korea, and The NorthCap University, Gurugram. Her major research area includes numerical solution of boundary value problems, artificial neural networks, and optimization. She has published more than 15 journal articles and also authored books and editorials.

Contenu
Hybrid Deep Learning Model for Real-time Detection of Denial of Service Attacks in Software Defined Networks.- CP-ABE Scheme with Decryption Keys of Constant Size using ECC with Expressive Threshold Access Structure.- Facial Expressions Recognization Based on DRLBP and CNN Classification.- Post Stroke Readmission Prediction Model Using Machine Learning Algorithms.- Handwriting Recognition Using Deep Learning.- A Theoretical Approach to Reinforcement Learning Algorithm and Nash Equilibrium to Maximize the Score in Imperfect Information Game.- A Review Paper on Sign Language Recognition using Machine Learning Techniques.- Deep Learning Methods for the Prediction of Chronic Diseases: A systematic review.- Cyber Infrastructure for Advanced Research with High Performance Edge Computing.- A Literature Review on Machine Learning Techniques and Strategies Applied to Stock Market Price Prediction.