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008			210807s2022 sz | s |||| 0|eng d
020			_a9783030843373
024	7		_a10.1007/978-3-030-84337-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2022 EB
245	0	4	_aThe International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021) _cedited by Irfan Awan, Salima Benbernou, Muhammad Younas, Markus Aleksy
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 175 páginas) _b66 ilustraciones, 38 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 Networks and Systems _x2367-3389 _v309
505	0		_aChapter 1: This book covers machine learning and time series, blockchain technologies and applications, data security, deep learning and Internet of Thing -- Chapter 2: A three-step machine learning pipeline for detecting and explaining anomalies in the time series of industrial process plants -- Chapter 3: Detecting Phishing Websites using Neural Network and Bayes Classifier -- Chapter 4: A Blockchain Framework for On-demand Intermodal Interlining: Blocklining -- Chapter 5: Intersection of AI and Blockchain Technology: Concerns and Prospects.
520			_aThe role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed over the last few years. It is increasingly helping uncover trends leading to great successes. This book includes a collection of research manuscripts presenting state-of-the-art work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have been peer-reviewed based on aspects of novelty, originality and rigour. The main topics covered in the book include machine learning and time series, blockchain technologies and applications, data security, deep learning, and Internet of Things.
988			_aSpringer_Robotics_2022
650		7	_2embne _9166090 _aAprendizaje automático _vCongresos y asambleas
776	0	8	_iPrinted edition: _z9783030843366
776	0	8	_iPrinted edition: _z9783030843380
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-84337-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eu _zSI