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008			221020s2022 si | s |||| 0|eng d
020			_a9789811961359
024	7		_a10.1007/978-981-19-6135-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aNeural Computing for Advanced Applications _bThird International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part II _cedited by Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XX, 512 páginas) _b249 ilustraciones, 182 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aCommunications in Computer and Information Science _x1865-0937 _v1638
505	0		_aDynamic 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.
520			_aThe 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 their industrial 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).
700	1		_aZhang, Haijun _eeditor literario _0(orcid)0000-0002-1648-0227 _1https://orcid.org/0000-0002-1648-0227 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aChen, Yuehui _eeditor literario _0(orcid)0000-0002-5265-903X _1https://orcid.org/0000-0002-5265-903X _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aChu, Xianghua _eeditor literario _0(orcid)0000-0001-6290-4003 _1https://orcid.org/0000-0001-6290-4003 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aZhang, Zhao _eeditor literario _0(orcid)0000-0002-5703-7969 _1https://orcid.org/0000-0002-5703-7969 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHao, Tianyong _eeditor literario _0(orcid)0000-0002-9792-3949 _1https://orcid.org/0000-0002-9792-3949 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aWu, Zhou _eeditor literario _0(orcid)0000-0002-8980-4210 _1https://orcid.org/0000-0002-8980-4210 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aYang, Yimin _eeditor literario _0(orcid)0000-0002-1131-2056 _1https://orcid.org/0000-0002-1131-2056 _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811961342
776	0	8	_iPrinted edition: _z9789811961366
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-6135-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c394236 _d394236