000 03976nam a22005775i 4500
999 _c200457350
_d75562
003 TR-AnTOB
005 20231121164617.0
007 cr nn 008mamaa
008 210729s2022 si | s |||| 0|eng d
020 _a9789811638282
024 7 _a10.1007/978-981-16-3828-2
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aTK5105.8857
072 7 _aUT
_2bicssc
072 7 _aTEC007000
_2bisacsh
072 7 _aUT
_2thema
090 _aTK5105.8857EBK
245 1 0 _aMultimedia Technologies in the Internet of Things Environment, Volume 2
_h[electronic resource] /
_cedited by Raghvendra Kumar, Rohit Sharma, Prasant Kumar Pattnaik.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aInternet of things.
650 0 _aMultimedia systems.
650 0 _aEnvironment.
650 0 _aQuantitative research.
650 1 4 _aInternet of Things.
650 2 4 _aMultimedia Information Systems.
650 2 4 _aEnvironmental Sciences.
650 2 4 _aData Analysis and Big Data.
653 0 _aInternet of things
653 0 _aMultimedia systems
700 1 _aKumar, Raghvendra.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSharma, Rohit.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPattnaik, Prasant Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
830 0 _aStudies in Big Data,
_x2197-6511 ;
_v93
856 4 0 _uhttps://doi.org/10.1007/978-981-16-3828-2
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK