CIS 2023, Volume 2 Kumar, Sandeep. editor. edt http://id.loc.gov/vocabulary/relators/edt Balachandran, K. editor. edt http://id.loc.gov/vocabulary/relators/edt Kim, Joong Hoon. editor. edt http://id.loc.gov/vocabulary/relators/edt Bansal, Jagdish Chand. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XVIII, 481 p. 215 illus., 156 illus. in color. online resource. 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 4–5, 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. 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. edited by Sandeep Kumar, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal. Computational intelligence Artificial intelligence Robotics Computational Intelligence Artificial Intelligence Robotics Q342 9789819990405 https://doi.org/10.1007/978-981-99-9040-5 https://doi.org/10.1007/978-981-99-9040-5 240330 20251030111757.0 978-981-99-9040-5