Bhattacharya / Dutta / Chakrabarti Innovations in Data Analytics

Selected Papers of ICIDA 2024, Volume 3
1. Auflage 2025
ISBN: 978-981-966303-3
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 595 Seiten

Reihe: Intelligent Technologies and Robotics

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 18–19 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 work is presented in three volumes.

Zielgruppe

Research

Autoren/Hrsg.

Bhattacharya, Abhishek

Dutta, Soumi

Chakrabarti, Amlan

Perumal, Thinagaran

Inhaltsverzeichnis

ZigZag Local Binary Pattern (ZZ-LBP): A novel local descriptor for Face Analysis in Unconstrained Conditions.- Development of Injectable Nano robots for Targeted Cancer Cell Destruction.- A Neural Network based Efficient Cluster Selection Mechanism for MANET.- Enhancing Well-Being Through Computational Emotion Analysis in Hindi Language Text.-Stock Price Prediction Using ARIMA with Option Chain Data and Technical Indicators.-Resource Scheduling Algorithm Based on Greedy Strategy in Green Cloud.-  A Comprehensive Analysis on the Impact of Environmental and Technological Factors on CO2 Emissions Using Machine Learning and Explainable AI.- Etc. 

Über Autor(innen)

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 a peer reviewer and TPC member in different international journals. He was the editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023 and special issues in IJWLTT.

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 medallist), 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.

Dr. Amlan Chakrabarti is Professor and Director of the A. K. Choudhury School of Information Technology at the University of Calcutta. He is also former Dean, Faculty of Engineering and Technology of his University during (2016-2019). He completed M. Tech. from the University of Calcutta (2001) and did Ph.D. from the same University in association with ISI, Kolkata (2010). He was Post-Doctoral Fellow at the School of Engineering, Princeton University, USA, during 2011-2012. He has almost 20 years of experience in Engineering Education and Research.

Dr Thinagaran Perumal is the recipient of 2014 Early Career Award from IEEE Consumer Electronics Society for his pioneering contribution in the field of consumer electronics. He completed his Ph.D. at Universiti Putra Malaysia, in the area of smart technology and robotics. He is currently Associate Professor attached with Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia. He is also currently appointed as Chair of IEEE Consumer Electronics Society Malaysia Chapter. His research interests are towards interoperability aspects of smart homes and Internet of Things (IoT), activity recognition for ambient intelligence and cyber-physical systems.