Data Science and Applications
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This book gathers outstanding papers presented at the 5th International Conference on Data Science and Applications (ICDSA 2024), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from July 17 to 19, 2024. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data…mehr

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Produktbeschreibung
This book gathers outstanding papers presented at the 5th International Conference on Data Science and Applications (ICDSA 2024), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from July 17 to 19, 2024. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
Autorenporträt
Dr. Satyasai Jagannath Nanda  is an associate professor in the Dept. of Electronics and Communication Engg., Malaviya National Institute of Technology Jaipur since Dec. 2023. He joined as an assistant professor at MNIT Jaipur in June 2013. He received the Ph.D. degree from School of Electrical Sciences, IIT Bhubaneswar in 2013, and M.Tech. degree from the Dept. of Electronics and Communication Engg., NIT Rourkela, in 2009. He received the B.E. degree in Electronics and Telecommunication Engg. from Institute of Technical Education and Research (ITER), Bhubaneswar, in the year 2006.  He was the recipient of Canadian Research Fellowship-GSEP from the Dept. of Foreign Affairs and Intern. Trade (DFAIT), Govt. of Canada for the year 2009-10. He was awarded Best Ph.D. thesis award at SocPros 2015 by IIT Roorkee.   Prof. Rajendra Prasad Yadav is currently working as a professor-HAG in the Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India. He has more than four decades of teaching and research experience. He was also the chief vigilance officer of MNIT Jaipur. Prof. Yadav received the Ph.D. degree from MREC Jaipur and M.Tech. degree from IIT Delhi. Under his supervision, 15 Ph.D. students have received Ph.D. degree, 7 students are working for their Ph.D degree, and forty M.Tech. students have carried out their dissertation work under his guidance. He has published more than 240 peer-reviewed research papers which have received fifteen hundred citations.   His research interests are error control codes and MIMO-OFDM, RF and antenna systems, mobile and wireless communication systems, optical switching and materials, mobile ad hoc and sensor network, device characterization and MEMS, and cognitive radio networks.   Amir H. Gandomi is a professor of Data Science and an ARC Discovery Early Career Research Award (DECRA) fellow at the Faculty of Engineering and Information Technology, University of Technology Sydney. Prior to joining UTS, Prof. Gandomi was an assistant professor at the School of Business, Stevens Institute of Technology, USA, and a distinguished research fellow in BEACON center, Michigan State University, USA. Prof. Gandomi has published over two hundred journal papers and seven books which collectively have been cited more than 17,000 times (H-index = 60). He has been named as one of the most influential scientific minds and Highly Cited Researcher (top 0.1%) for four consecutive years, 2017 to 2020. He also ranked 18th in GP bibliography among more than 12,000 researchers. He has served as an associate editor, editor, and guest editor in several prestigious journals such as AE of SWEVO, IEEE TBD, and IEEE IoTJ.     Prof. Mukesh Saraswat is a Professor and Associate Dean (Innovation) at Jaypee Institute of Information Technology (JIIT), Noida, India. Prof. Saraswat obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 20 years of teaching and research experience. He has guided 04 Ph.D. students and presently guiding 04 Ph.D. students. He has published more than 80 journal and conference papers in the areas of image processing, pattern recognition, and soft computing. He was part of a completed project funded by SERB, New Delhi on image analysis and one project funded by CRS, RTU, Kota. He has been an active member of many organizing committees for various conferences and workshops. He is also a Faculty in charge of Jaypee Youth Club at JIIT, Noida. He is also a guest editor of the Array, Journal of Swarm Intelligence, SN Computer Science, and Journal of Intelligent Engineering Informatics. He is one of the General Chairs of the International Conference on Data Science and Applications. He is also an Advisory Board Member of the Journal MethodsX. He is an active member of ACM, CSI, and SCRS Professional Bodies.