000			02680nam a2200337 i 4500
999			_c401752 _d401752
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003			ES-MaUEC
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008			231104s2024 si | fo |||| 0|eng d
020			_a9789819945184
024	7		_a10.1007/978-981-99-4518-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .B45 _b2024 EB
245	0	0	_aBig Data Analytics in Intelligent IoT and Cyber-Physical Systems _cedited by Nonita Sharma, Monika Mangla, Subhash K. Shinde
250			_a1st ed. 2024
264		1	_aSingapore _bSpringer International Publishing _c2024
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aTransactions on Computer Systems and Networks _x2730-7492
505	0		_aAn outline of Cyber-Physical System: Issues and Security Risks -- Classification of Vulnerabilities in Cyber Physical Systems: Approach, Security and Challenges -- Sensing and Communication Mechanisms for Advanced Robotics and Complex Cyber-Physical Systems -- Deep Learning-Based Anomaly Detection in Cyber-Physical System -- Security Issues and Privacy Challenges of Cyber-Physical System in Smart Healthcare Applications.
520			_aThis book explores the complete system perspective, underlying theories, modeling, and applications of cyber-physical systems (CPS). Considering the interest of researchers and academicians, the editors present this book in a multidimensional perspective covering CPS at breadth. It covers topics ranging from discussion of rudiments of the system and efficient management to recent research challenges and issues. This book is divided into four sections discussing the fundamentals of CPS, engineering-based solutions, its applications, and advanced research challenges. The contents highlight the concept map of CPS including the latest technological interventions, issues, challenges, and the integration of CPS with IoT and big data analytics, modeling solutions, distributed management, efficient energy management, cyber-physical systems research, and education with applications in industrial, agriculture, and medical domains. This book is of immense interest to those in academia and industry.
988			_aSpringer_Engineering_2024
650		7	_2embne _9495511 _aDatos masivos
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-4518-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2024 _dz _eb _zSI