Fourth Congress on Intelligent Systems

1. Insights into Age-Related Macular Degeneration Detection: A Comprehensive Review of OCT Image Analysis.- 2. An adaptive detection mechanism for IoT devices anomalies using AI/ML based on user pattern.- 3. Automated Verification of the Correctness of Transitions Between Elements of a Mobile Application Using Source Code Generation Tools.- 4. Mute Mate: An Advanced Lip-Reading Solution for Mute Participants in Virtual Conferences.- 5. An insightful analysis of pre-processing methods used in EEG signals for computer assisted cognitive domain.- 6. Understanding Individual Emotional Responses: Analyzing Variations and Introducing Personal Emotional Bias in Kannada Opinion Data set.- 7. A Survey on Feature Selection, Classification and Optimization Techniques for EEG Based Brain Computer Interface.- 8. Mean Teacher Model with Consistency Regularization for Semi-Supervised Detection of COVID-19 using Cough Recordings.- 9. Multimodal Early Fusion Strategy Based on Deep Learning Methods forCervical Cancer Identification.- 10. Comparing Online and Face-to-Face Training with Employees Perspective.

Dr. Sandeep Kumar is professor at CHRIST (Deemed to be University), Bangalore. He recently completed his post-doctoral research at Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia, in sentiment analysis. He is an associate editor for Springer's Human-centric Computing and Information Sciences (HCIS) journal. He has published over eighty research papers in various international journals/conferences and attended several national and international conferences and workshops. He has authored/edited seven books in the area of computer science. His research interests include nature-inspired algorithms, swarm intelligence, soft computing, and computational intelligence.


Dr. Balachandran is formerly Professor and Head of CSE at CHRIST (Deemed to be University), Bengaluru, India. He has 38 years of experience in Research, Academia, and Industry. He served as Senior Scientific Officer in the Research and Development Unit of the Department of Atomic Energy for 20 years. His research interest includes Data Mining, Artificial Neural Networks, Soft Computing, and Artificial Intelligence. He has published more than fifty articles in well-known SCI/SCOPUS-indexed international journals and conferences and attended several national and international conferences and workshops. He has authored/edited four books in the area of computer science.

Dr. Jagdish Chand Bansal is an Associate Professor (Senior Grade) at South Asian University New Delhi and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. He also holds visiting professorship at NIT Goa, India. Dr. Bansal obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he worked as an Assistant Professor at ABV- Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His Primary area of interest is Swarm Intelligence and Nature Inspired Optimization Techniques. Recently, he proposed a fission-fusion social structure based