Recent Trends in Artificial Intelligence and Data Sciences

Select Proceedings of CONFLUENCE 2026, Volume 1
Erscheinungsjahr 2026
ISBN: 978-981-9202-43-0
Verlag: Springer

Buch, Englisch, 437 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Electrical Engineering

This book contains original, peer-reviewed and presented research papers from the International Conference on Recent Trends in Artificial Intelligence and Data Sciences. This book intends to provide a distinctive and engaging latest research development held in the field of various data sciences and computational techniques. The topics covered in this book are artificial intelligence, machine learning, data science, deep learning, soft computing and various computational techniques. Apart from these, many other topics of interest for readers are also covered. The papers presented here share the latest findings on various topics mentioned above. It makes the book a useful resource for researchers, scientists, industry people and students alike.

Zielgruppe

Research

Autoren/Hrsg.

Kumar, Sumit

Unhelkar, Bhuvan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

RASA-Based Chatbot for Interactive Agricultural Assistance.- A Stacked Ensemble Learning Pipeline with PCA Based Feature Partitioning for Multidimensional Socio Economic Classification.- Integrating Artificial Intelligence with Brain Computer Interfaces Emerging Trends in EEG Based Interaction.- Comparing AI Response Validation Systems An Empirical Study of Multi Source Fact Checking  Weighted Scoring and Entity Recognition.- Enhanced Detection Of Psychological States Through Cross Modal Learning.- Early Prediction of Lung Cancer with Convolutional Neural Networks.

Über Autor(innen)

Sumit Kumar is a Professor in the Department of Computer Science and Engineering at Amity School of Engineering and Technology, Amity University, Noida, Uttar Pradesh, India. He earned his Ph.D. from NIT Jamshedpur, Jharkhand, India. He has more than 25 years of teaching and research experience at reputed colleges and universities in India. His research areas include software testing, meta-heuristic algorithms, image processing, and machine learning. He has published 21 SCI journal papers and more than 70 papers in international journals and conferences of repute.

Bhuvan Unhelkar is an accomplished IT professional and Professor at the Muma College of Business, University of South Florida. He is the founding consultant of MethodScience and is widely recognized for his expertise in Business Analysis, Software Engineering (UML), Big Data Strategies, Artificial Intelligence, Agile Methodologies, Mobile Business, and Green IT. Dr. Unhelkar is the author of 30 books, including , , and . He is a Fellow of the Australian Computer Society, a Senior Member of IEEE, and an Associate Editor of . Additionally, he is a life member of the Computer Society of India and the Baroda Management Association, a certified Professional Scrum Master, and a SAFe Agile Leader. He is also the Past President of Rotary Sarasota Sunrise (Florida) and a Paul Harris Fellow.