Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2020 /: Proceedings of CIPR 2020. (2020)

• Record Type: Book
• Further Information: Note: Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumi Dutta, Danilo Pelusi.
• Editors: Das, Asit Kumar; Nayak, Janmenjoy; Naik, Bighnaraj; Dutta, Soumi; Pelusi, Danilo
• Contents: Inference Based Statistical Analysis for Suspicious Activity Detection Using Facial Analysis.- A Conceptual Approach for Framework to Design Radar System Using Arduino with Initial Experiments.- Stratification of Indian Dance Forms through Audio Signal.- Forecasting House Price with an Optimum Set of Features.- Deep Learning based Automated Feature Engineering for Rice Leaf Disease Prediction.- Feature Extraction and Disease Prediction from Paddy Crops Using Data Mining Techniques.- A Proposed Gene Selection Approach for Disease Detection.- Modern Trends in Monitoring and Analysis of Chemical Pesticides by Using Artificial Neural Networks.- Raw Data Redundancy Elimination on Cloud Database.- Secured Cloud System Using Deep Learning.- Golf-worm Swarm Optimized 2DOF-PIDN controller for Frequency Regulation of Hybrid Power System.
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (596 pages)
• Subjects: Engineering; Computational intelligence; Optical data processing; Data mining; Computers -- Computer Vision & Pattern Recognition; Computers -- Database Management -- Data Mining; Computer vision; Data mining; Technology & Engineering -- Engineering (General); Artificial intelligence
• Languages: English
• ISBNs: 9789811524493
• Related ISBNs: 9789811524486
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.