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020			_a9789811602894
024	7		_a10.1007/978-981-16-0289-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2021 EB
245	1	0	_aMachine Learning, Deep Learning and Computational Intelligence for Wireless Communication : _bProceedings of MDCWC 2020 _cedited by E. S. Gopi.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XIX, 643 páginas) _b387 ilustraciones, 304 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Electrical Engineering _x1876-1119 _v749
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aDeep Learning to Predict the Number of Antennas in a Massive MIMO Setup based on Channel Characteristics -- Optimal Design of Fractional Order PID Controller for AVR System using Black Widow Optimization (BWO) Algorithm -- LSTM Network for Hotspot Prediction in Traffic Density of Cellular Network -- Generative Adversarial Network and Reinforcement Learning to Estimate Channel Coefficients -- Self-Interference Cancellation in Full-duplex Radios for 5G Wireless Technology using Neural Network -- Dimensionality Reduction of KDD-99 using Self-perpetuating Algorithm -- Energy Efficient Neigbour Discovery using Bacterial Foraging Optimization (BFO) Technique for Asynchronous Wireless Sensor Networks -- LSTM based Outlier Detection Method for WSNs -- An Improved Swarm Optimization Algorithm based Harmonics Estimation and Optimal Switching Angle Identification -- A Study of Ensemble Methods for Classification.
520	3		_aThis book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.
988			_aSpringer_Robotics_2021
650		7	_2embne _9166090 _aAprendizaje automático
700	1		_aGopi, E. S. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _997087
776	0	8	_iPrinted edition: _z9789811602887
776	0	8	_iPrinted edition: _z9789811602900
776	0	8	_iPrinted edition: _z9789811602917
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-0289-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE