Cover image for Data Analytics for Internet of Things Infrastructure
Title:
Data Analytics for Internet of Things Infrastructure
Author:
Sharma, Rohit. editor.
ISBN:
9783031338083
Edition:
1st ed. 2023.
Physical Description:
XV, 326 p. 131 illus., 124 illus. in color. online resource.
Series:
Internet of Things, Technology, Communications and Computing,
Contents:
Chapter 1. Big Data in Cloud Today - A Comprehensive Survey -- Chapter 2. Cloud of things platform for water meter network -- Chapter 3. Online newspaper development within the Internet of Things environmental: A Role of Computer-mediated communication -- Chapter 4. FATS-Fuzzy Authentication to provide Trust based Security in VANET to Mitigate Black Hole Attack -- Chapter 5. AI-Based Chatbot Agents as Drivers of Purchase Intentions- An Interdisciplinary Study -- Chapter 6. An Intelligent Model for Identifying the Fluctuation of the Stock Market and Predict the Investment Policies with Assured Return -- Chapter 7. Sandwiched Metasurface Antenna for Small Spacecrafts in IoT Infrastructure -- Chapter 8. Development of Laser Beam Cutting Edge Technology and IoT Based Race Car Lapse Time Computational System -- Chapter 9. A Study of Cloud Based Solution for Data Analytics -- Chapter 10. An Intelligent Model for Optimizing Sparsity Problem towards Movie Recommendation Paradigm using Machine Learning -- Chapter 11. Techniques to identify image objects in adverse environmental conditions - A Systematic Literature Review -- Chapter 12. Technology-Enhanced Teaching and Learning During the COVID-19 Pandemic using IoT Infrastructure -- Chapter 13. The symbiotic relation of IOT and AI for the applications in various domains: Trends and future directions -- Chapter 14. Text Summarization for Big Data Analytics: A Comprehensive Review of GPT 2 and BERT Approaches -- Chapter 15. Leveraging Secured E-Voting using Decentralized Blockchain Technology -- Chapter 16. Multi-Layer Security and Privacy Provision in Internet of Things Networks: Challeneges and Future Trend -- Chapter 17. A methodology for the development of soft sensors with Kafka-ML.
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