This book presents cutting-edge research, emerging trends, and groundbreaking innovations in the field of computing. It offers insights into real-world applications that leverage computational methods and the ever-evolving landscape of machine learning.
This book presents cutting-edge research, emerging trends, and groundbreaking innovations in the field of computing. It offers insights into real-world applications that leverage computational methods and the ever-evolving landscape of machine learning.
Sushil Kamboj is a distinguished Professor and Head of the Computer Science and Engineering (CSE) Department, with over 20 years of experience in academia and research. Renowned for his expertise in Computer Networks, Dr. Kamboj has made significant contributions to the field through his innovative research, teaching excellence, and leadership. He is dedicated to fostering academic growth and developing cutting-edge solutions to complex technological problems. Pardeep Singh Tiwana is currently working as Assistant professor in the department of Computer Science & Engineering at CGC College of Engineering, Landran, Mohali, Punjab. He is a career academician with nearly 8 years of experience in teaching, research and academic outreach activities. He earned his B.Tech., MTech. and Ph.D. in Computer Science and Engineering. He has primarily specialization research in Software defined networking and Wireless networking. He has over 30 publications to his credit in widely circulated journals of national and international repute.
Inhaltsangabe
1. Iris Image Authentication by the detection of parallel eyelid blinks on both eyes together 2. Unsupervised Machine learning for e-learning data analysis: A case study 3. Comparative Analysis of Traditional and Hybrid Models in Short-Term Financial Forecasting Using Machine Learning 4. Enhancing Conversational AI with Memory-Augmented Networks for Context-Aware Dialogue Systems
1. Iris Image Authentication by the detection of parallel eyelid blinks on both eyes together 2. Unsupervised Machine learning for e-learning data analysis: A case study 3. Comparative Analysis of Traditional and Hybrid Models in Short-Term Financial Forecasting Using Machine Learning 4. Enhancing Conversational AI with Memory-Augmented Networks for Context-Aware Dialogue Systems
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