Advancements in Artificial Intelligence and Machine Learning

Proceedings of Ercicam 2025, Volume 2
Erscheinungsjahr 2026
ISBN: 978-981-957448-3
Verlag: Springer Nature Singapore

Buch, Englisch, 632 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Electrical Engineering

This volume presents the proceedings of the . The book covers a wide range of emerging topics, including the Internet of Things (IoT), wireless communications, image and video processing, parallel and distributed computing, and smart grid applications, among others. Exploring these domains provides valuable insights and practical knowledge for academics, industry professionals, and practitioners seeking to stay at the forefront of technological advancements.

Zielgruppe

Research

Autoren/Hrsg.

Nagaraj, H.C.

Danti, Ajit

Rallapalli, Sreekanth

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware

Inhaltsverzeichnis

Leveraging YOLO for Accurate Fruits and Vegetables Calorie Prediction with Machine Learning.- Detecting signs of depression using AI.- SchemeSmart: AI Assistant for Government Schemes.-Test Case Generation from User Requirements using LLMs & Gen. AI: A Survey.- CERVICAL CANCER CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS.- AI-Driven Multilingual Document Analysis and Interaction System .- Deepfake Detection with XceptionNet: A Deep Learning Approach.-Etc.

Über Autor(innen)

H.C. Nagaraj obtained his B.E. degree in Electronics and Communication Engineering with first-class distinction from the University of Mysore in 1981. He received his M.E. in Communication Systems from P.S.G. College of Technology, Bharathiar University, in 1984, securing first rank. He completed his doctoral degree in Biomedical Signal Processing and Instrumentation at the Indian Institute of Technology (IIT) Madras in 2000. Since September 2003, he has been serving as the Principal of Nitte Meenakshi Institute of Technology, Bangalore. With approximately 38 years of experience in teaching, research, and administration, Dr. Nagaraj has published numerous papers in national and international journals and conferences and has delivered invited talks in fields such as biomedical signal processing, image processing, and mobile communication. He has also guided several students in their Ph.D. programs.

Ajit Danti is a distinguished academician and researcher with over three decades of experience in teaching, research, and leadership in computer science and artificial intelligence. He currently serves as a Professor in the Department of Artificial Intelligence, College of Technology, City University Ajman, UAE. His prior roles include Professor at Christ University, Bengaluru, and academic positions at institutions in India, Saudi Arabia, and Sudan. His research expertise spans artificial intelligence, machine learning, computer vision, pattern recognition, image processing, and data mining. He has published over 175 research papers, authored 17 books and chapters, and holds two granted patents (including a German patent) with four additional Indian patents published. A dedicated mentor, he has supervised 13 Ph.D. scholars and continues to guide several more. He received the Research Excellence Award from the Ministry of Skill Development, Government of India, at the Indo-Global Skills Summit 2017.

Sreekanth Rallapalli received his Ph.D. from Bharathiar University, Coimbatore, in 2020. He also holds M.Phil. and M.C.A. degrees. As an active researcher, he has published over 45 research articles in various national and international conferences and journals. With 25 years of academic experience, he has worked at universities in India and abroad. Currently, he is a Professor and Head of the Department at Nitte Meenakshi Institute of Technology, Bengaluru. He holds several Indian and foreign patents. He is a recognized Ph.D. supervisor for VTU and Nitte Deemed to be University. His research interests include data science, big data, artificial intelligence, and machine learning. He also serves as a reviewer for various journals and conferences.