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008			211001s2022 si | s |||| 0|eng d
020			_a9789811638022
024	7		_a10.1007/978-981-16-3802-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2022 EB
245	0	0	_aProceedings of International Conference on Computational Intelligence : _bICCI 2020 _cedited by Ritu Tiwari, Apoorva Mishra, Neha Yadav, Mario Pavone
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XII, 374 páginas) _b185 ilustraciones, 128 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aAlgorithms for Intelligent Systems _x2524-7573
505	0		_aMissing Data Imputation for Solar Radiation using Generative Adversarial Networks -- A Survey on Object Detection and Tracking in a Video Sequence -- Story-Plot Recommender using Bidirectional LSTM network -- A Novel Technique for Fake Signature Detection using Two-Tiered Transfer Learning -- Personality Prediction through Handwriting Analysis using Convolutional Neural Networks -- A review on deep learning framework for Alzheimer Disease detection from MRI -- Machine Learning And IoT Based Ultrasonic Humidification Control System For Longevity Of Fruits And Vegetables -- Classification of Melanoma using Efficient Nets with Multiple Ensembles and Metadata -- Performance of Optimization Algorithms in Attention based Deep Learning Model for Fake News Detection System.
520			_aThe book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2020) held at Indian Institute of Information Technology, Pune, India during 12-13 December, 2020. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning. metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.
988			_aSpringer_Robotics_2022
650		7	_2embne _aInteligencia artificial _vCongresos y asambleas _9413115
776	0	8	_iPrinted edition: _z9789811638015
776	0	8	_iPrinted edition: _z9789811638039
776	0	8	_iPrinted edition: _z9789811638046
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-3802-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eu _zSI