Fourth Congress on Intelligent Systems

1. Comparative study of various machine learning techniques for Parkinson disease detection based on handwriting.- 2. A Systematic Review of Air Pollution and Weather Parameters Detection Methods in Satellite Remote Sensing.- 3. Fingerprint Based Asymmetric Bio-Cryptographic Key Generation Using Convolution Network.- 4. Comparison of Brain Tumor Detection Techniques by Using Different Machine Learning YOLO Algorithms.- 5. Media Steganography Using CNN With Blockchain Enabled Secure File Transfer.- 6. Diagnosing ADHD and Personality Disorders as per DSM-5 using Novel APK, PDPK and DDPK Machine Learning Algorithms.- 7. Inception Time Model for Structural Damage Detection using Vibration Measurements.- 8. Exploring Challenges and Innovations in E-commerce Recommendation Systems: A Comprehensive Review.- 9. Enhanced Ensemble Classifiers for Heart Disease Prediction.- 10. Study of RNN with its CNN based hybridization for temporal remote sensing data processing to map rabi crops.

Dr. Sandeep Kumar is currently an associate professor at CHRIST (Deemed to be University) Bangalore. Before joining CHRIST, he worked with ACEIT Jaipur, Jagannath University Jaipur, and Amity University Rajasthan. He is an associate editor for Human-centric Computing and Information Sciences (HCIS) journal published by Springer. He has published more than seventy research papers in various international journals/conferences and attended several national and international conferences and workshops. He has authored/edited six books in the area of computer science. His research interests include nature-inspired algorithms, swarm intelligence, soft computing, and computational intelligence.

Dr. Balachandran is currently a 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 a senior scientific officer in the Research and Development Unit of the Department of Atomic Energyfor 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 at South Asian University New Delhi and visiting faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he has 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 optimization algorithm, spider monkey