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Blockchain and Deep Learning for Smart Healthcare
book

Blockchain and Deep Learning for Smart Healthcare

by Akansha Singh, Anuradha Dhull, Krishna Kant Singh
January 2024
Intermediate to advanced content levelIntermediate to advanced
480 pages
11h 53m
English
Wiley-Scrivener
Content preview from Blockchain and Deep Learning for Smart Healthcare

4AIML-Based Blockchain Solutions for IoMT

Rishita Khurana1, Manika Choudhary1, Akansha Singh2* and Krishna Kant Singh3

1Department of Computer Science and Engineering, Amity School of Engineering and Technology Amity University, Noida, Uttar Pradesh, India

2School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India

3Delhi Technical Campus, Greater Noida, India

Abstract

The ongoing increase in urbanization has required the social, ecological, and monetary advancement of urban areas in order to fundamentally upgrade living conditions. The Internet of Things (IoT), information and communication tools, and different advancements have been synchronized to determine the difficulties faced in smart cities. The key objective is to make the most adequate utilization of accessible assets and innovations to foster quality of life, which include support and efficiency in different fields such as healthcare, agriculture, communication, transport, and smart grid. The integration of emerging and evolving technologies can prove to be an important asset in dealing with the security issues that are prevalent in smart cities. For example, an IoT-enabled application can play a vital part here; however, it also presents different security, protection, dormancy, and dependability issues. To address these challenges, another evolving technology, i.e., blockchain integrated with artificial intelligence (AI) and machine learning (ML), can be employed to efficiently ...

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Publisher Resources

ISBN: 9781119791744Purchase Link