000			04174nam a22004575c 4500
988			_aSpringer_Robotics_2020
999			_c115391 _d115391 _x1
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005			20230110040233.0
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008			190918s2020 si a o |||| 0|eng d
020			_a9789811389504
024	7		_a10.1007/978-981-13-8950-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.87 _b2020 EB
245	0	0	_aNeural approaches to dynamics of signal exchanges _cedited by Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero
250			_aFirst edition
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2020
300			_a1 recurso en línea (XXVIII, 525 páginas) _b176 ilustraciones, 141 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSmart Innovation Systems and Technologies _x2190-3018 _v151
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aSome note on Artificial Intelligence -- Music Genre Classification Using Stacked Auto-Encoders -- Linear Artificial Forces for Human Dynamics in Complex Contexts -- Convolutional Recurrent Neural Networks and Acoustic Data Augmentation for Snore Detection -- Italian Text Categorization With Lemmatization and Support Vector Machines -- SOM-Based Analysis of Volcanic Rocks: An Application to Somma-Vesuvius and Campi Flegrei Volcanoes -- Towards an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach -- An Effective Fuzzy Recommender System for Fund Raising Management -- Reconstruction, Optimisation and Quality Check of Microsoft Hololens-Acquired 3D Points Clouds -- The "Probabilistic Rand Index": A Look from Some Different Perspectives.
520	3		_aThe book presents research that contributes to the development of intelligent dialog systems to simplify diverse aspects of everyday life, such as medical diagnosis and entertainment. Covering major thematic areas: machine learning and artificial neural networks; algorithms and models; and social and biometric data for applications in human-computer interfaces, it discusses processing of audio-visual signals for the detection of user-perceived states, the latest scientific discoveries in processing verbal (lexicon, syntax, and pragmatics), auditory (voice, intonation, vocal expressions) and visual signals (gestures, body language, facial expressions), as well as algorithms for detecting communication disorders, remote health-status monitoring, sentiment and affect analysis, social behaviors and engagement. Further, it examines neural and machine learning algorithms for the implementation of advanced telecommunication systems, communication with people with special needs, emotion modulation by computer contents, advanced sensors for tracking changes in real-life and automatic systems, as well as the development of advanced human-computer interfaces. The book does not focus on solving a particular problem, but instead describes the results of research that has positive effects in different fields and applications.
650		7	_2embne _aProceso de señales _9150608
650		7	_2embne _aRedes neuronales artificiales _9678664
700	1		_aEsposito, Anna _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _918068
700	1		_aFaundez-Zanuy, Marcos _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _915054
700	1		_aMorabito, Francesco Carlo _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _998354
700	1		_aPasero, Eros _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _999436
776	0	8	_iPrinted edition: _z9789811389498
776	0	8	_iPrinted edition: _z9789811389511
776	0	8	_iPrinted edition: _z9789811389528
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-8950-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI