
Intelligent Data Analytics, IoT, and Blockchain
Description
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Using image processing with machine learning techniques
A deep learning approach for facial recognition
A scalable system architecture for smart cities based on cognitive IoT
Source authentication of videos shared on social media
Survey of blockchain in healthcare
Accident prediction by vehicle tracking
Big data analytics in disaster management
Applicability, limitations, and opportunities of blockchain technology
The book presents novel ideas and insights on different aspects of data analytics, blockchain technology, and IoT. It views these technologies as interdisciplinary fields concerning processes and systems that extract knowledge and insights from data. Focusing on recent advances, the book offers a variety of solutions to real-life challenges with an emphasis on security.
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Persons
Mansaf Alam is a professor in the Department of Computer Science, Faculty of Natural Sciences, Jamia Millia Islamia. A Young Faculty Research Fellow and the Editor-in-Chief of the Journal of Applied Information Science, he pursues research in Artificial Intelligence, Big Data analytics, machine learning, deep learning, Cloud Computing, and data mining.
Content
System requirements
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
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