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020			_a9789811696053
024	7		_a10.1007/978-981-16-9605-3 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA347.E96 _b2022 EB
245	0	0	_aEvolutionary Computing and Mobile Sustainable Networks : _bProceedings of ICECMSN 2021 _cedited by V. Suma, Xavier Fernando, Ke-Lin Du, Haoxiang Wang
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXII, 1065 páginas) _b556 ilustraciones, 424 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes on Data Engineering and Communications Technologies _x2367-4520 _v116
505	0		_aImproved Grey wolf Optimization based Feature selection and classification using CNN for Diabetic Retinopathy detection -- Feature Selection Using Modified Sine Cosine Algorithm with COVID-19 Dataset -- Blood Cell Image Denoising based on Tunicate Rat Swarm Optimization with Median Filter -- A Hybrid Approach for Deep Noise Suppression using Deep Neural Networks -- Human Health Care Systems Analysis for Cloud Data Structure of Biometric System using ECG Analysis -- Data mining for Solving Medical Diagnostics Problems -- Classification of Diabetic Retinopathy using Ensemble of Machine Learning Classifiers with IDRID Dataset -- Epileptic Seizure Prediction Using Geometrical Features Extracted From HRV Signal -- An Extensive Survey on Outlier Prediction using Mining and Learning Approaches -- Performance Comparison of Data Security Strategies in Fog Computing -- Design and Simulation of a Direct-PSK Based Telecommand Receiver for Small Satellite -- Analysis of Data Aggregation and Clustering Protocol in Wireless Sensor Networks using Machine Learning -- DetecSec : A Framework to Detect and Mitigate ARP Cache Poisoning Attacks -- PAPR Reduction in SDR based OFDM System.
520			_aThis book mainly reflects the recent research works in evolutionary computation technologies and mobile sustainable networks with a specific focus on computational intelligence and communication technologies that widely ranges from theoretical foundations to practical applications in enhancing the sustainability of mobile networks. Today, network sustainability has become a significant research domain in both academia and industries present across the globe. Also, the network sustainability paradigm has generated a solution for existing optimization challenges in mobile communication networks. Recently, the research advances in evolutionary computing technologies including swarm intelligence algorithms and other evolutionary algorithm paradigms are considered as the widely accepted descriptors for mobile sustainable networks virtualization, optimization, and automation. To deal with the emerging impacts on mobile communication networks, this book discusses about the state-of-the research works on developing a sustainable design and their implementation in mobile networks. With the advent of evolutionary computation algorithms, this book contributes varied research chapters to develop a new perspective on mobile sustainable networks.
988			_aSpringer_Engineering_2022
650		7	_2embne _9667195 _aComputación evolutiva _vCongresos y asambleas
650		7	_2embne _9476230 _aInformática móvil _vCongresos y asambleas
700	1		_aSuma, V _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFernando, Xavier _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDu, Ke-Lin _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aWang, Haoxiang _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811696046
776	0	8	_iPrinted edition: _z9789811696060
776	0	8	_iPrinted edition: _z9789811696077
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-9605-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2022 _dz _eb _zSI