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003			ES-MaUEC
005			20230102113943.0
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007			cr nn nnnaamaa
008			200214s2020 gw | s |||| 0|eng d
020			_a9783030390471
024	7		_a10.1007/978-3-030-39047-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ325.5 _b2020 EB
245	0	0	_aInternet of Things, Smart Computing and Technology : _bA Roadmap Ahead _cedited by Nilanjan Dey, Parikshit. N. Mahalle, Pathan Mohd Shafi, Vinod V. Kimabahune, Aboul Ella Hassanien.
250			_aFirst edition 2020.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020.
300			_a1 recurso en línea (XVI, 403 páginas) _b180 ilustraciones, 146 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aStudies in Systems Decision and Control _x2198-4182 _v266
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aEfficacy of a classical and a few modified machine learning algorithms in forecasting financial time series -- Analysis of facial expression recognition of visible, thermal and fused imaginary in indoor and outdoor environment -- AI - Assisted Chatbot for E-Commerce to Address Selection of Products from Multiple Products -- A Novel Approach to detect microcalcification for Accurate Detection for Diagnosis of Breast Cancer -- Rethinking Decentralised Identifiers and Verifiable Credentials for the Internet of Things -- The Invisible Eye - A Security Architecture to Protect Motorways.
520	3		_aThis book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. In turn, the book discusses IoT applications (e.g. healthcare applications) that generate a huge amount of sensor data and imaging data that must be handled correctly for further processing. In the traditional IoT ecosystem, cloud computing offers a solution for the efficient management of huge amounts of data, thanks to its ability to access shared resources and provide a common infrastructure in a ubiquitous manner. Though these new technologies are invaluable, they also reveal serious IoT security challenges. IoT applications are vulnerable to various types of attack such as eavesdropping, spoofing and false data injection, the man-in-the-middle attack, replay attack, denial-of-service attack, jamming attack, flooding attack, etc. These and other security issues in the Internet of things are explored in detail. In addition to highlighting outstanding research and recent advances from around the globe, the book reports on current challenges and future directions in the IoT. Accordingly, it offers engineers, professionals, researchers, and designers an applied-oriented resource to support them in a broad range of interdisciplinary areas. .
988			_aSpringer_Robotics_31032020
650		7	_2embne _aAprendizaje automático _9166090
700	1		_aDey, Nilanjan _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMahalle, Parikshit. N _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aShafi, Pathan Mohd _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKimabahune, Vinod V _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHassanien, Aboul Ella. _eeditor. _0(orcid)0000-0002-9989-6681 _1https://orcid.org/0000-0002-9989-6681 _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted edition: _z9783030390464
776	0	8	_iPrinted edition: _z9783030390488
776	0	8	_iPrinted edition: _z9783030390495
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-39047-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _eh _zSI