000			03323nam a22003615i 4500
001			395208
003			ES-MaUEC
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007			cr nn 008mamaa
008			210729s2022 si | s |||| 0|eng d
020			_a9789811638282
024	7		_a10.1007/978-981-16-3828-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aMultimedia Technologies in the Internet of Things Environment, Volume 2 _cedited by Raghvendra Kumar, Rohit Sharma, Prasant Kumar Pattnaik.
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIV, 234 páginas) _b76 ilustraciones, 63 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aStudies in Big Data _x2197-6511 _v93
505	0		_aChapter 1. An Overview of Multimedia Technologies in Current era of Internet of Things (IoT) -- Chapter 2. A Deeper Look into Wind Powered IoT based Sustainable Organic Compost Machine -- Chapter 3. An Intelligent Music Recommendation Framework for Multimedia Big Data: a Journey of Entertainment Industry -- Chapter 4. A survey on Multimedia Technology and Internet of Things -- Chapter 5. The Latest Emerging Technologies In Big Data -- Chapter 6. Realtime accident detection and alarm generation system over IoT -- Chapter 7. Smart Automobile Health Monitoring System -- Chapter 8. Fault Detection And Data Management for IIOT -- Chapter 9. Theoretical and Instructional Aspects of Using Multimedia Resources in Language Education: A Cognitive View -- Chapter 10. Data mining techniques for producing clustering in Big Data with MapReduce function -- Chapter 11. Machine Learning Techniques for Biometric Fingerprint Recognition Using the Magnitudes to Provide Privacy and Integrity -- Chapter 12. Study and Develop an Effective Int faces to upload Data into Enterprise Resource Planning System. .
520			_aThis book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a second volume by editors which provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis. Further, multimedia communication, deep learning models to multimedia data, and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IoT, and smart computing techniques. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.
776	0	8	_iPrinted edition: _z9789811638275
776	0	8	_iPrinted edition: _z9789811638299
776	0	8	_iPrinted edition: _z9789811638305
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-3828-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Engineering_2022
999			_c395208 _d395208