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001			393891
003			ES-MaUEC
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007			cr nn 008mamaa
008			220901s2022 si | s |||| 0|eng d
020			_a9789811915208
024	7		_a10.1007/978-981-19-1520-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aPattern Recognition and Data Analysis with Applications _cedited by Deepak Gupta, Rajat Subhra Goswami, Subhasish Banerjee, M Tanveer, Ram Bilas Pachori
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVI, 835 páginas) _b398 ilustraciones, 267 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 in Electrical Engineering _x1876-1119 _v888
505	0		_aChapter 1. Revolutions in Infant fingerprint Recognition-A Survey -- Chapter 2. A Review of High Utility Itemset Mining for Transactional Database -- Chapter 3. A Cross-sectional study on distributed mutual exclusion algorithms for ad hoc networks -- Chapter 4. Electromagnetic Pollution Index Estimation of Green Mobile Communication of Macrocell -- Chapter 5. Prediction of Train delay System in Indian Railways using Machine Learning Techniques: Survey -- Chapter 6. Valence of emotion recognition using EEG -- Chapter 7. A Deep Learning-based Approach for Automated Brain Tumor Segmentation in MR images -- Chapter 8. MZI based Electro-Optic Reversible XNOR/XOR Derived from Modified Fredkin Gate -- Chapter 9. Secured Remote Access of Cloud Based Learning Management System (LMS) Using VPN -- Chapter 10. Surface EMG signal classification for hand gesture recognition -- Chapter 11. Improved Energy Efficiency in Street Lighting: A Coverage based Approach -- Chapter 12. Security and Challenges for Cognitive IOT Based Future City Architecture -- Chapter 13. A Heuristic Model for Friend Selection in Social Internet of Things -- Chapter 14. A Fuzzy string matching based reduplication with morphological attributes -- Chapter 15. Accelerating LOF Outlier Detection Approach. etc.
520			_aThis book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in machine learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG) and electromyogram (EMG). .
700	1		_aGupta, Deepak _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGoswami, Rajat Subhra _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBanerjee, Subhasish _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTanveer, M _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPachori, Ram Bilas _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789811915192
776	0	8	_iPrinted edition: _z9789811915215
776	0	8	_iPrinted edition: _z9789811915222
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-1520-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c393891 _d393891