Advances in Artificial Intelligence and Machine Learning
Description
This book features papers from the International Conference on Emerging Research in Computing, Information, Communication, Artificial Intelligence, and Machine Learning (ERCICAM 2024). It serves as an interdisciplinary platform for researchers, professional engineers, scientists, educators, and technologists to discuss, debate, and promote advancements in research and technology within the evolving fields of computing, information, communication, and their applications. Topics covered include the Internet of Things (IoT), wireless communications, image and video processing, parallel and distributed computing, and smart grid applications, among others. The book explores these emerging research areas and acts as a valuable resource for both researchers and practicing engineers.
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N.R. Shetty serves as the Chancellor of the Central University of Karnataka in Kalaburagi and is the Chairman of the Review Commission for State Private Universities in Karnataka. Additionally, he is an Advisor at the Nitte Meenakshi Institute of Technology (NMIT) in Bangalore. He is the Founder and Vice-President of the International Federation of Engineering Education Societies (IFEES) in the USA. He previously held the position of Vice-Chancellor at Bangalore University for two terms and served as President of the Indian Society for Technical Education (ISTE) in New Delhi for three terms. He was also a member of the Executive Committee of the All India Council for Technical Education (AICTE) and chaired its South West Region Committee.
L.M. Patnaik earned his Ph.D. in 1978 in the area of real-time systems and his D.Sc. in 1989 focusing on computer systems and architectures, both from the Indian Institute of Science (IISc) in Bangalore. From March 2008 to August 2011, he served as Vice-Chancellor of the Defence Institute of Advanced Technology, a Deemed University in Pune. Currently, he is an Honorary Professor in the Department of Electronic Systems Engineering at IISc and an INSA Senior Scientist and Adjunct Professor at the National Institute of Advanced Studies in Bangalore. Over his 50 years of service, his teaching, research, and development interests have encompassed parallel and distributed computing, computer architecture, CAD of VLSI systems, high-performance computing, mobile computing, theoretical computer science, real-time systems, soft computing, and computational neuroscience, including machine cognition. He has published 1,286 papers in refereed international journals and conference proceedings.
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 in 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.
Venugopal K.R. , a former Vice-Chancellor of Bangalore University, has dedicated over five decades to serving both Bangalore University and University Visvesvaraya College of Engineering (UVCE). He holds 11 degrees, including two Ph.Ds-one in Economics from Bangalore University and another in Computer Science Engineering from IIT Madras. He earned his M.E. degree in Computer Science Engineering from IISc, Bangalore, and has degrees in Electronics and Communication, Law, Journalism, Public Relations, Business Finance, Industrial Relations, Mass Communication, and Economics. Currently, he is pursuing a Ph.D. in Law. Dr. Venugopal has previously served as Chairman of the All India Council for Technical Education (AICTE) at the South West Regional Office and as Principal of UVCE for 15 years. He has authored 102 books, published 1,207 research papers, and holds 40 granted patents. He has supervised 30 Ph.D. students, informally guided 200 research scholars, and supervised over 800 postgraduate dissertations in computer science engineering. He has received the IEEE Fellow and ACM Distinguished Educator awards from the USA for his significant contributions to the field of Computer Science Engineering. He has also been a Post-Doctoral Research Scholar and Visiting Professor at the University of Southern California, USA. During his tenure as Vice-Chancellor (2018 - 2022), he played a key role in restructuring Bangalore University into four state universities: Bangalore University, Bangalore City University, Bangalore North University, and the University of Visvesvaraya College of Engineering, following the IIT model. Under his leadership, Bangalore University achieved an A++ grade accreditation from NAAC with a score of 3.75, ranking first among public universities in India.
Sreekanth R. received his Ph.D. from Bharathiar University, Coimbatore, in 2020. He also holds an M.Phil. and an M.C.A. degree. As an active researcher, he has published over 35 research articles in various national and international conferences and journals. With 20 years of academic experience, he has worked at universities in India and abroad. Currently, he is a Professor at Nitte Meenakshi Institute of Technology in Bengaluru. His research interests include data science, big data, artificial intelligence, and machine learning. He also serves as a reviewer for various journals and conferences.
Content
Chapter 1. Leverage Machine Learning To Infer Proof of the Nipah Influenza.- Chapter 2. Comparative Analysis of Seizure Prediction Methods.- Chapter 3. Enhancing Crop Yield through Rainfall Analysis using Machine Learning Techniques.- Chapter 4. Performance Evaluation Of Machine Learning Algorithms For Breast Cancer Detection In Women.- Chapter 5. Sarcasm Detection in Hindi Social Media Text using HindiBERT-LSTM and XGBoost Models.- Chapter 6. Enhancing Breast Cancer Prediction: A Comparative Analysis of CNN and Ensemble Models with Data Balancing Techniques.- Etc.