Neural Computing for Advanced Applications Third International Conference, NCAA 2022, Jinan, China, July 8–10, 2022, Proceedings, Part II

The two-volume Proceedings set CCIS 1637 and 1638 constitutes the refereed proceedings of the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022, held in Jinan, China, during July 8–10, 2022. The 77 papers included in these proceedings were carefully reviewed and...

Full description

Bibliographic Details
Other Authors: Zhang, Haijun (Editor), Chen, Yuehui (Editor), Chu, Xianghua (Editor), Zhang, Zhao (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2022, 2022
Edition:1st ed. 2022
Series:Communications in Computer and Information Science
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 03617nmm a2200421 u 4500
001 EB002120825
003 EBX01000000000000001258882
005 00000000000000.0
007 cr|||||||||||||||||||||
008 221107 ||| eng
020 |a 9789811961359 
100 1 |a Zhang, Haijun  |e [editor] 
245 0 0 |a Neural Computing for Advanced Applications  |h Elektronische Ressource  |b Third International Conference, NCAA 2022, Jinan, China, July 8–10, 2022, Proceedings, Part II  |c edited by Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang 
250 |a 1st ed. 2022 
260 |a Singapore  |b Springer Nature Singapore  |c 2022, 2022 
300 |a XX, 512 p. 249 illus., 182 illus. in color  |b online resource 
505 0 |a Dynamic Community Detection via Adversarial Temporal Graph Representation Learning -- Research on Non-intrusive Household Load Identification Method Applying LightGBM -- Master Multiple Real-Time Strategy Games with a Unified Learning Model Using Multi-Agent Reinforcement Learning -- Research on Visual Servo Control System of Substation Insulator Washing Robot -- A Dual-size Convolutional Kernel CNN-based Approach to EEG Signal Classification -- Research and Simulation of Fuzzy Adaptive PID Control for Upper Limb Exoskeleton Robot -- Short-Term Wind Power Prediction Based on Convolutional Neural Network-Bidirectional Long Short-Term Memory Network -- Fault Arc Detection Method Based on Multi Feature Analysis and PNN. 
653 |a Computer science / Mathematics 
653 |a Mathematics of Computing 
653 |a Computing Milieux 
653 |a Computer Vision 
653 |a Computer vision 
653 |a Computers 
653 |a Computer Engineering and Networks 
653 |a Artificial intelligence 
653 |a Artificial Intelligence 
653 |a Computer networks  
653 |a Computer engineering 
700 1 |a Chen, Yuehui  |e [editor] 
700 1 |a Chu, Xianghua  |e [editor] 
700 1 |a Zhang, Zhao  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Communications in Computer and Information Science 
028 5 0 |a 10.1007/978-981-19-6135-9 
856 4 0 |u https://doi.org/10.1007/978-981-19-6135-9?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006.3 
520 |a The two-volume Proceedings set CCIS 1637 and 1638 constitutes the refereed proceedings of the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022, held in Jinan, China, during July 8–10, 2022. The 77 papers included in these proceedings were carefully reviewed and selected from 205 submissions. These papers were categorized into 10 technical tracks, i.e., neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and theirindustrial applications, natural language processing, machine translation, knowledge graphs, and their applications, Neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling, and Spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19)