Data Science and Network Engineering

Suyel Namasudra has received Ph.D. degree from the National Institute of Technology Silchar, Assam, India. He was a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. Currently, Dr. Namasudra is working as an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, Dr. Namasudra was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India. His research interests include blockchain technology, cloud computing, IoT, information security, and DNA computing. Dr. Namasudra has edited 6 books, 5 patents, and 80 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE T-ITS, IEEE TSC, IEEE TCSS, IEEE TCBB, ACM TOMM, ACM TOSN, ACM TALLIP, FGCS, CAEE, and many more.Dr. Munesh Chandra has more than 19 years of teaching experience out of which 12.6 years are post-Ph.D. Currently, he is working at the National Institute of Technology Agartala, Tripura, India, as an associate professor. Previously, he worked as an associate professor and HoD (IT), Rajkiya Engineering College, Azamgarh, UP (State Govt. Institution of UP, India) with the additional responsibility of the dean academics and associate dean (UG Program), Dr. A. P. J. Abdul Kalam Technical University, Lucknow (State Technical University). Dr. Chandra was also the director (in-charge) of Rajkiya Engineering College, Azamgarh. He successfully filed 60 patents (51 national and 09 international patents (Germany, South Africa, and Australia)). He has published 12 textbooks and 148 research papers in different international journals and conference proceedings. Dr. Chandra edited 38 books for Springer Nature. Dr. Chandra has organized more than 32 international conferences technically sponsored by IEEE, ACM, and Springer.Dr. Rubén González Crespo is a full professor in Computer Science and Artificial Intelligence. Currently, he is a vice-rector of Academic Affairs in the Universidad Internacional de La Rioja. He is also EiC and associate editor in several indexed journals. His main research areas are artificial intelligence, accessibility, and project management. He has published more than 250 scientific publications and managed several research projects. He is a member of the advisory council of the Ministry of Education of Spain and other Latin American countries on terms of University Quality. He is patron of the Free Software R& D Foundation in Spain. He is also an evaluator of international projects for European Commission, Colciencias, and FECyT.Pascal Lorenz (lorenz@ieee.org) received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995, he was a research engineer at WorldFIP Europe and Alcatel-Alsthom. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks, and high-speed networks. He is the author/co-author of 3 books, 3 patents, and 200 international publications in refereed journals and conferences. He is an associate editor of International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley), International Journal of Business Data Communications and Networking, and Journal of Network and Computer Applications (JNCA-Elsevier). He is a senior member of the IEEE, IARIA fellow, and a member of many international program committees. He has organized many conferences, chaired several technical sessions, and given tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013–2014.

• Part 1: Computational Intelligence.- Chapter 1: Evaluation of Hand-crafted Features for the Classification of Spam SMS in Dravidian Languages.- Chapter 2: Training Algorithms for Mixtures of Normalizing Flows.- Chapter 3: Facial Expression Based Music Recommendation System using Deep Learning.- Chapter 4: Exploring Time Series Analysis Techniques for Sales Forecasting.- Chapter 5: Keystroke Dynamics Based Analysis and Classification of Hand Posture using Machine Learning Techniques.- Chapter 6: Teenager Friendly News Classification Using Machine Learning Model.- Chapter 7: Turbulent Particle Swarm Optimization and Genetic Algorithm for Function Maximization.- Chapter 8: An Innovative New Open Computer Vision Framework via Artificial Intelligence with Python.- Chapter 9: Meat Freshness State Prediction using a Novel Fifteen Layered Deep Convolutional Neural Network.- Chapter 10: Object Detection in Autonomous Maritime Vehicles: Comparison between YOLO V8 and EfficientDet. etc.