Multimedia Technologies in the Internet of Things Environment, Volume 3
Multimedia Technologies in the Internet of Things Environment, Volume 3 [electronic resource] /
edited by Raghvendra Kumar, Rohit Sharma, Prasant Kumar Pattnaik.
- 1st ed. 2022.
- 1 online resource
- Studies in Big Data, 108 2197-6511 ; .
- Studies in Big Data, 108 .
Quantum Blockchain Approach for Security Enhancement in Cyber World -- Quantum Computing for Healthcare: A review on Implementation Trends and Recent Advances -- Towards Task Scheduling Approaches to Reduce Energy Consumption in Cloud Computing Environment -- An Efficient Data Transferring through Li-Fi Technology: A Smart Home Appliance -- Modeling of Fuzzy Logic Based Classification System Using the Gravitational Search Algorithm -- Big Data Based Image Handling – A Review of Implementation using Amazon Web Services -- Real Time System for Forecasting Natural Disasters using the Social Network -- Call Based Smart Transportation using Artificial Intelligence -- Design Issues for Developing Routing Protocols for Flying Adhoc Network -- Online Stream Processing and Multimedia Oriented IoT: Tools for Sustainable Development of Smart Cities -- Big Data Analytics and Data Mining for Healthcare Informatics (HCI) -- Integration of Quantum Computing and Blockchain Technology: A Cryptographic Perspective.
This book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a third 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.
9789811909245
10.1007/978-981-19-0924-5 doi
Internet of things.
Multimedia systems.
Artificial intelligence.
Quantitative research.
Internet of Things.
Multimedia Information Systems.
Artificial Intelligence.
Data Analysis and Big Data.
Internet of things Multimedia systems
TK5105.8857
Quantum Blockchain Approach for Security Enhancement in Cyber World -- Quantum Computing for Healthcare: A review on Implementation Trends and Recent Advances -- Towards Task Scheduling Approaches to Reduce Energy Consumption in Cloud Computing Environment -- An Efficient Data Transferring through Li-Fi Technology: A Smart Home Appliance -- Modeling of Fuzzy Logic Based Classification System Using the Gravitational Search Algorithm -- Big Data Based Image Handling – A Review of Implementation using Amazon Web Services -- Real Time System for Forecasting Natural Disasters using the Social Network -- Call Based Smart Transportation using Artificial Intelligence -- Design Issues for Developing Routing Protocols for Flying Adhoc Network -- Online Stream Processing and Multimedia Oriented IoT: Tools for Sustainable Development of Smart Cities -- Big Data Analytics and Data Mining for Healthcare Informatics (HCI) -- Integration of Quantum Computing and Blockchain Technology: A Cryptographic Perspective.
This book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a third 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.
9789811909245
10.1007/978-981-19-0924-5 doi
Internet of things.
Multimedia systems.
Artificial intelligence.
Quantitative research.
Internet of Things.
Multimedia Information Systems.
Artificial Intelligence.
Data Analysis and Big Data.
Internet of things Multimedia systems
TK5105.8857
