Bhattacharya / Dutta / Vijyakumar Innovations in Data Analytics

Selected Papers of ICIDA 2024, Volume 2
1. Auflage 2025
ISBN: 978-981-966300-2
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 618 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

Dutta, Paramartha

Vijyakumar, Kanendra Naidu

Inhaltsverzeichnis

Kannada Character Recognition: Integrating Deep Learning and Classical Machine Learning Techniques.- InceptionNet-Enhanced Deep Learning Framework for ECG Arrhythmia Classification.-Malware Detection System Using Machine Learning and Deep Learning.-Efficient U-Net for insightful Lung Cancer Diagnosis.- Chronic Disease Diagnosis Using Multi-modal Transfer Learning Model.-Implication of AI in Women's Rights under Personal Laws in India.- Enhancing Insect Classification with Convolutional Neural Networks and MobileNetV3 Architecture: A Deep Learning Approach.- Comparative Analysis of Real and AI-generated Synthetic Images for Classification Tasks: A Deep Learning Approach.- Enhancing Insect Classification with Convolutional Neural Networks and MobileNetV3 Architecture: A Deep Learning Approach.- Etc   

Über Autor(innen)

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. 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.

Paramartha Dutta is currently Professor in the Department of Computer and System Sciences in Visva-Bharati University, Bolpur, Shantiniketan, West Bengal, India, since November 2007.He did my Bachelors and Masters in Statistics from Indian Statistical Institute, Kolkata, India in 1988 and 1990, respectively. Subsequently, He did my Master of Technology in Computer Science in 1993 from Indian Statistical Institute, Kolkata, India. I did my Ph.D. (Engineering) in 2005 from BESU, Shibpore, India. He is co-author of eight authored books apart from thirteen edited books and more than two hundred and forty research publications in peer-reviewed journals and conference proceedings. In addition, he is co-inventor of seventeen published patents.

Dr. Kanendra Naidu is distinguished Senior Lecturer at Universiti Teknologi MARA (UiTM) with a master’s and Ph.D. in Electrical Engineering from the University of Malaya. His expertise spans several critical areas in electrical engineering, including artificial intelligence applications in power systems, intentional controlled islanding, network reconfiguration, load frequency control optimization, energy management system, virtual power plant, sustainable energy integration, carbon emission analysis, and electric vehicles. Dr. Kanendra has an extensive publication record with over 60 research articles published in high-impact journals such as the International Journal of Electrical Power & Energy Systems, IET Generation, Transmission & Distribution, IEEE Access, and the Journal of Energy Storage