Fourth Congress on Intelligent Systems

This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 45, 2023. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.

Includes novel and innovative work from experts, practitioners, scientists, and decision-makers Presents recent research in intelligent systems presented at CIS 2023, Bengaluru, India Serves as a reference resource for researchers and practitioners in academia and industry

Auteur
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 optimization(SMO), which is being applied to various problems from engineering domain. He has published more than 70 research papers in various international journals/conferences. He is the editor-in-chief of the journal MethodsX published by Elsevier. He is the series editor of the book series Algorithms for Intelligent Systems (AIS) and Studies in Autonomic, Data-driven and Industrial Computing (SADIC) published by Springer.

Professor Kim, a faculty of Korea University in the School of Civil, Environmental and Architectural Engineering, obtained his Ph.D. degree from the University of Texas at Austin in 1992 with the thesis title "Optimal replacement/rehabilitation model for water distribution systems." Prof. Kim's major areas of interest include: optimal design and management of water distribution systems, application of optimization techniques to various engineering problems, and development and application of evolutionary algorithms. His publication includes "A New Heuristic Optimization Algorithm: Harmony Search," Simulation, February 2001, Vol. 76, pp 60-68, which has been cited over 2,300 times by other journals of diverse research areas.

Contenu

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. <p