LEADER 03618nam 2200541 450 001 9910484574303321 005 20210226202355.0 010 $a981-15-7965-2 024 7 $a10.1007/978-981-15-7965-3 035 $a(CKB)4100000011477052 035 $a(MiAaPQ)EBC6360830 035 $a(DE-He213)978-981-15-7965-3 035 $a(PPN)250219050 035 $a(EXLCZ)994100000011477052 100 $a20210226d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMultimedia technologies in the internet of things environment /$fedited by Raghvendra Kumar, Rohit Sharma, Prasant Kumar Pattnaik 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (XVIII, 208 p. 88 illus., 57 illus. in color.) 225 1 $aStudies in Big Data,$x2197-6503 ;$v79 300 $aIncludes index. 311 $a981-15-7964-4 327 $aChapter 1. Smart Control and Monitoring of Irrigation System using Internet of Things -- Chapter 2. Blockchain-based Cyber Threat Mitigation Systems for Smart Vehicles and Industrial Automation -- Chapter 3. IT Convergence related Security Challenges for Internet of Things and Big Data -- Chapter 4. Applicability of Industrial IoT in Diversified Sectors: Evolution, Applications and Challenges -- Chapter 5. Recent emergine for inteliigent learning and analytics in Big data -- Chapter 6. Real Time Health System (RTHS) centered Internet of Things (IoT) in healthcare industry: benefits, use cases and advancements in 2020 -- Chapter 7. Building intelligent Integrated Development Environment for IoT in the context of Statistical modeling for Software Source code -- Chapter 8. Visualization of COVID-19 Pandemic: an Analysis through Machine Intelligent Technique towards Big Data Paradigm -- Chapter 9.Multimedia Security and Privacy on Real Time Behavioral Monitoring in Machine Learning IoT Application using Big Data Analytics Chapter 10. A robust approach with text analytics for bengalir digit recgnition using mechine learning -- Chapter 11. Internet of Things Based Security Model and Solutions for Educational Systems. 330 $aThis book provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis. Further, multimedia communication, deep learning models to multimedia data and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IOT and smart computing techniques. The book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IOT applications. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics. 410 0$aStudies in Big Data,$x2197-6503 ;$v79 606 $aMultimedia systems 606 $aBig data 606 $aComputational intelligence 615 0$aMultimedia systems. 615 0$aBig data. 615 0$aComputational intelligence. 676 $a929.605 702 $aSharma$b Rohit 702 $aPattnaik$b Prasant Kumar 702 $aKumar$b Raghvendra 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484574303321 996 $aMultimedia technologies in the Internet of things environment$92833885 997 $aUNINA