Advances in Intelligent Automation and Soft Computing

Advances in Intelligent Automation and Soft Computing edited by Xiaolong Li. - 1st edition 2022 - 1 recurso en línea (XXIX, 1304 páginas) 702 ilustraciones, 460 ilustraciones a color - Lecture Notes on Data Engineering and Communications Technologies 80 2367-4520 .

Application of the Optimal Lntegrated Medical Intelligence System to Strengthen Physical Lmmunity -- Simultaneous Detection of Optic Disc and Macular Concave Center Using Artificial Intelligence Target Detection Algorithms -- Cuckoo Optimization Algorithm Visual Positioning System Based on Particle Swarm Algorithm -- An Improved Lion Swarm Algorithm Based on Reinforcement Learning -- Research on Intelligent Testing Method of Automobiles Fuel Consumption Based on Ultrasonic Technology -- Discovering the Coopetition Relationship Between Agents Using Clustering -- An Oxygen Forecasting Strategy for Waterless Live Fish Transportation Based on IPSO-GRU Method -- Damping Effect of A Controlled Nonlinear Meso-scale Beam under Periodic Excitation -- Weighted Histogram Block Detection Algorithm for Digital Trunking Terminal -- A GPU-based Energy Saving Algorithm for Smart Buildings -- Dynamic Event-Triggered Control of Networked Control Systems under Sensor and Actuator Faults.

This book presents select proceedings of the International Conference on Intelligent Automation and Soft Computing (IASC2021). Various topics covered in this book include AI algorithm, neural networks, pattern recognition, machine learning, blockchain technology, system engineering, computer vision and image processing, adaptive control and robotics, big data and data processing, networking and security. The book is a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, automation, and soft computing. .

9783030810078

10.1007/978-3-030-81007-8 doi

Q334 / 2022 EB