Integrating Ai In Iot Analytics On The Cloud For Healthcare Applications
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Handbook of Research on Integrating AI in IoT Analytics on the Cloud for Healthcare Applications
"The objectives of the book are to apply AI in edge analytics for healthcare applications and to analyze the impact of tools, techniques and security solutions in Edge Analytics for Healthcare"--
Integrating AI in IoT Analytics on the Cloud for Healthcare Applications
Internet of things (IoT) applications employed for healthcare generate a huge amount of data that needs to be analyzed to produce the expected reports. To accomplish this task, a cloud-based analytical solution is ideal in order to generate faster reports in comparison to the traditional way. Given the current state of the world in which every day IoT devices are developed to provide healthcare solutions, it is essential to consider the mechanisms used to collect and analyze the data to provide thorough reports. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare IoT. Covering topics such as data analytics and next generation healthcare systems, it is ideal for researchers, academicians, technologists, IT specialists, data scientists, healthcare industries, IoT developers, data security analysts, educators, and students.
Cloud Computing
This book LNICST 617 constitutes the refereed proceedings of the 12th EAI International Conference on Cloud Computing, CloudComp 2024, held in Luton, UK, during September 9–10, 2024. The 16 full papers were carefully reviewed and selected from 42 submissions. The proceedings focus on topics such as The Cloud-Edging Computing Wireless Networks; Network Security Emerging Applications /The Cloud-Edging Integration Applications