Multimedia Technologies in the Internet of Things Environment
Herausgegeben:Kumar, Raghvendra; Sharma, Rohit; Pattnaik, Prasant Kumar
Multimedia Technologies in the Internet of Things Environment
Herausgegeben:Kumar, Raghvendra; Sharma, Rohit; Pattnaik, Prasant Kumar
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
This 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…mehr
Andere Kunden interessierten sich auch für
- Multimedia Technologies in the Internet of Things Environment132,99 €
- New Trends and Applications in Internet of Things (IoT) and Big Data Analytics132,99 €
- New Trends and Applications in Internet of Things (IoT) and Big Data Analytics192,59 €
- Smart Data Intelligence191,99 €
- Smart Data Intelligence205,99 €
- Smart Data Intelligence205,99 €
- Recent Advances in Internet of Things and Machine Learning125,99 €
-
-
-
This 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.
Produktdetails
- Produktdetails
- Studies in Big Data 79
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-15-7964-6
- 1st ed. 2021
- Seitenzahl: 228
- Erscheinungstermin: 29. September 2020
- Englisch
- Abmessung: 241mm x 160mm x 18mm
- Gewicht: 455g
- ISBN-13: 9789811579646
- ISBN-10: 9811579644
- Artikelnr.: 59956786
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
- Studies in Big Data 79
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-15-7964-6
- 1st ed. 2021
- Seitenzahl: 228
- Erscheinungstermin: 29. September 2020
- Englisch
- Abmessung: 241mm x 160mm x 18mm
- Gewicht: 455g
- ISBN-13: 9789811579646
- ISBN-10: 9811579644
- Artikelnr.: 59956786
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
Dr. Raghvendra Kumar is working as Associate Professor in Computer Science and Engineering Department at GIET University, India. He received B. Tech, M.Tech and Ph.D. in Computer Science and Engineering, India, and Postdoc Fellow from Institute of Information Technology, Virtual Reality and Multimedia, Vietnam. He serves as Series Editor Internet of Everything (IOE): Security and Privacy Paradigm, Green Engineering and Technology: Concepts and Applications, publishes by CRC press, Taylor & Francis Group, USA, and Bio-Medical Engineering: Techniques and Applications, Publishes by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He also serves as acquisition editor for Computer Science by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He has published number of research papers in international journal (SCI/SCIE/ESCI/Scopus) and conferences including IEEE and Springer as well as serve as organizing chair (RICE-2019, 2020), volume Editor (RICE-2018), Keynote speaker, session chair, Co-chair, publicity chair, publication chair, advisory board, Technical program Committee members in many international and national conferences and serve as guest editors in many special issues from reputed journals (Indexed By: Scopus, ESCI, SCI). He also published 13 chapters in edited book published by IGI Global, Springer and Elsevier. His researches areas are Computer Networks, Data Mining, cloud computing and Secure Multiparty Computations, Theory of Computer Science and Design of Algorithms. He authored and Edited 23 computer science books in field of Internet of Things, Data Mining, Biomedical Engineering, Big Data, Robotics, and IGI Global Publication, USA, IOS Press Netherland, Springer, Elsevier, CRC Press, USA. Dr. Rohit Sharma is working as an Assistant Professor of Electronics and Communication Engineering, SRM University, Delhi NCR Campus Ghaziabad, India. He has completed his Ph.D. in Electronics andCommunication Engineering (Title - Evolution in RFID Security to building it in the Global Environment) from Teerthanker Mahaveer University, Moradabad, India, M.Tech. (Communication Engineering) from Shobhit University, India, and B.Tech. (Electronics and Communication Engineering) from Uttar Pradesh Technical University, Lucknow, India. He joined SRM University in 2011. He has a teaching experience of over 7 years at SRM University and Dewan V S group of Institution, India. Dr. Sharma is an active member of ISTE, IEEE, ICS, IAENG and IACSIT. He is an editorial board member and Reviewer of more than 8 international journal and conferences. He has published about 38 research papers in international/national journals and about 09 research papers in international/national conferences. Dr. Prasant Kumar Pattnaik, Ph.D. (Computer Science), Fellow IETE, Senior Member IEEE, is a Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar. He has more than a decade of teaching and research experience. Dr. Pattnaik has published numbers of research papers in peer-reviewed international journals and conferences. He also published many edited book volumes in Springer and IGI Global Publication. His areas of interest include mobile computing, cloud computing, cyber security, intelligent systems and brain-computer interface. He is one of the Associate Editors of Journal of Intelligent & Fuzzy Systems, IOS Press, and Intelligent Systems Book Series Editor of CRC Press, Taylor Francis Group.
Chapter 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.
Chapter 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.