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020			_a9789811513626
024	7		_a10.1007/978-981-15-1362-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1637 _b2020 EB
245	0	0	_aRecent Advances on Memetic Algorithms and its Applications in Image Processing _cedited by D. Jude Hemanth, B. Vinoth Kumar, G. R. Karpagam Manavalan
250			_aPrimera edición 2020
264		1	_aSingapore _bSpringer _c2020
300			_a1 recurso en línea (XIV, 199 páginas) _b 69 ilustraciones, 45 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v873
490	0		_aEngineering (Springer-11647)
505	0		_aAn Evolutionary Computing Approach to Solve Object Identification Problem for fall detection in Computer Vision based Video Surveillance Applications -- Texture-dependent Optimal Fractional-order Framework for Image Quality Enhancement through Memetic Inclusions in Cuckoo Search and Sine-Cosine Algorithms -- Artificial Bee Colony: Theory, Literature Review, and Application in Image Segmentation -- Applications of Memetic Algorithms in Image Processing Using Deep Learning -- Recent Applications of Swarm-based Algorithms to Color Quantization -- Hybrid Biogeography Based Optimization Techniques for Geo-Spatial Feature Extraction: A Brief Survey -- An Efficient Copy-move Forgery Detection Technique using Nature-Inspired Optimization Algorithm -- Design and Implementation of Hybrid Plate Tectonics Neighborhood based ADAM's Optimization and its application on Crop Recommendation -- An Evolutionary Memetic Weighted Associative Classification Algorithm for Heart Disease Prediction.
520	3		_aThis book includes original research findings in the field of memetic algorithms for image processing applications. It gathers contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future research from both theoretical and practical viewpoints, and will spur further advances in the field.
988			_aPrimersemestre_2020_Engineering
650		7	_2embne _aProceso digital de imágenes _9413188
700	1		_aHemanth, D. Jude _eeditor
700	1		_aKumar, B. Vinoth _eeditor
700	1		_aManavalan, G. R. Karpagam _eeditor
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9789811513619
776	0	8	_iPrinted edition: _z9789811513633
776	0	8	_iPrinted edition: _z9789811513640
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-1362-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2020 _dz _eu _zSI