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008			230119s2022 sz | s |||| 0|eng d
020			_a9783030782849
024	7		_a10.1007/978-3-030-78284-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2022 EB
245	0	0	_aInnovative Trends in Computational Intelligence _cedited by Ravi Tomar, Manolo Dulva Hina, Rafik Zitouni, Amar Ramdane-Cherif
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVII, 288 páginas) _b156 ilustraciones, 114 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aEAI/Springer Innovations in Communication and Computing _x2522-8609
505	0		_aPart I. Innovative Trends in Computational Intelligence -- Chapter 1. Data Mining in Healthcare and Prediction Model Using Data-Mining Technique on Covid-19 -- Chapter 2. Computational Intelligence in Intelligent Transportation Systems: An Overview -- Chapter 3. Insights to Computational Intelligence Techniques for Computer Vision -- Chapter 4. A two-stage multi-feature selection method to predict healthcare data using neural network -- Chapter 5. Computational Approaches for Detection and Classification of Crop Diseases -- Chapter 6. Three-Layer Multimodal Biometric Fusion Using SIFT and SURF Descriptors for Improved Accuracy of Authentication of Human Identity -- Chapter 7. Applying Computation Intelligence for Improved Computer Vision Capabilities -- Chapter 8. ECG Feature Extraction -- Chapter 9. Computational Intelligence in Web Min -- Chapter 10. A Review on Cognitive Computational Neuroscience: Overview, Models and Applications -- Chapter 11. Artificial Neural Network: Models, Applications and Challenges -- Chapter 12. Proportional and Multi-Stimulations Haptic Device for Active Upper Limbs Prosthetics Control.
520			_aThis book addresses the key problems that computational intelligence aims to solve, including (i) the involved computational process might be too complex for mathematical reasoning; (ii) it might contain some uncertainties during the process, or (iii) by nature, the computational process is a randomly determined one (heuristic). The contributors make use of methods that are close to the human's way of reasoning, that is, available information might be inexact or incomplete, yet it would be able to produce controlled actions in an adaptive way. Approaches presented in the book include swarm intelligence, artificial immune systems, image processing, data mining, natural language processing, text mining, and other solutions involving artificial intelligence methodologies. Addresses key computational issues that can be solved by computational intelligence; Introduces various application domains by which computational intelligence is the preferred solution; Includes approaches such as swam intelligence, data mining, and artificial intelligence.
988			_aSpringer_Robotics_2022
650		7	_2embne _aInteligencia artificial _9413115
776	0	8	_iPrinted edition: _z9783030782832
776	0	8	_iPrinted edition: _z9783030782856
776	0	8	_iPrinted edition: _z9783030782863
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi-org.ezproxy.universidadeuropea.es/10.1007/978-3-030-78284-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eIG _zSI