This book features research papers presented at the Third International Conference on Innovations in Data Analytics (ICIDA 2024), held at Eminent College of Management and Technology (ECMT), West Bengal, India, during 1819 December 2024. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry. The book is presented in three volumes.

Presents recent research in data analytics and intelligent systems Discusses the outcomes of ICIDA 2024, held in Kolkata, India Serves as a reference resource for researchers and practitioners in academia and industry

Autorentext
Dr. Abhishek Bhattacharya is Associate Professor at Sister Nivedita University, India. He has completed his Ph.D. (CSE), BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are data mining, cyber security, and mobile computing. He has published 55 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. He has 3 book chapters in Taylor & Francis Group EAI. He is Peer Reviewer and TPC Member in different international journals. He was Editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023 and special issues in IJWLTT. He is Member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. He has published 3 patents and 15 books. Dr. Soumi Dutta is Associate Professor at Sister Nivedita University (SNU) at New Town, Kolkata, India. She has completed her Ph.D. (CST), IIEST, Shibpur. She received her B.Tech. (IT) and M.Tech. (CSE) securing 1st position (Gold medalist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020, and Certified Microsoft Innovative Educator, 2020. Her research interests are data mining, information retrieval, online social media analysis, and image processing. She has published more than 40 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. She has 25 book and book chapters in Taylor & Francis Group and IGI Global. She is Peer Reviewer and TPC Member in different international journals. She is Active Member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. She has published 8 patents and 1 copyright. Xin-She Yang received the D.Phil. in applied mathematics degree from the University of Oxford, Oxford, U.K. He was with Cambridge University, Cambridge, U.K., and National Physical Laboratory Teddington, U.K., as Senior Research Scientist. He is currently Reader with Middlesex University London, London, U.K., and Co-Editor of the Springer Tracts in Nature-Inspired Computing. He is also Elected Fellow of the Institute of Mathematics and its Applications. He was IEEE Computational Intelligence Society (CIS) Chair for the Task Force on Business Intelligence and Knowledge Management from 2015 to 2020. He has published more than 300 peer-reviewed research papers with more than 82 000 citations and has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years from 2016 to 2022. Surajit Goon is a Distinguished Academician with over 17 years of experience in the field of computer science and engineering. Currently serving as Academic Director at Eminent Group of Colleges in Kolkata. With a Ph.D. from Brainware University in West Bengal, an M.Tech. from Birla Institute of Technology in Ranchi, and an M.C.A. from Biju Pattanayak University of Technology in Orissa, Dr. Goon has a solid educational foundation in his field. His contributions to academia include more than 20 publications in reputable conferences and journals, including Springer and IEEE. Dr. Goon has also authored a book on Unix and Shell Programming and holds three patents. His research interests primarily focus on data science and visual cryptography, reflecting his commitment to cutting-edge areas of computer science.

Inhalt

Finding vitamin deficiency presence or absence with checking availability through machine learning.- Seamless Traffic Regulation: Automatic fine generation (AFG) with SRGAN Model.-Assessment, Implementation and Monitoring of Industrial Safety and Potential Hazards.- Implementation and Management of a Uniform Civil Code via AI: A Significance and Implications for Indian Society.-Random Forests to Predict Volcanic Eruptions in the Pacific Ring of Fire.-BrickNet: Enhanced Model for Brick Grading System with Explainable Artificial Intelligence in Bangladesh.- Etc.