AI-Enabled Internet of Nano Things Methodology for Healthcare Information Management

Author:

Rajawat Anand Singh1ORCID,Goyal S. B.2ORCID,Pant Piyush3,Bedi Pradeep4ORCID

Affiliation:

1. School of Computer Sciences and Engineering, Sandip University, Nashik, India

2. Faculty of Information Technology, City University, Malaysia

3. Sandip University, Nashik, India

4. Department of Computer Science and Engineering, Galgotias University, India

Abstract

Internet of nano things (IoNT) is growing at an exponential rate due to a growing population, more communication between devices in networks, sensors, actuators, and so on. This rise shows up in many ways, such as volume, speed, diversity, honesty, and value. Getting important information and insights is hard work and a very important issue. One of the most important ways to solve a problem is to come to a conclusion based on a number of different criteria. This can help you choose the best solution from a number of options. AI-enabled algorithms and decision making that takes into account multiple factors can be useful in big data sets. During the deduction process, AI-enabled algorithms and evaluations based on multiple criteria are used. Because it works well and has a lot of potential, it is used in many different areas, such as computer science and information technology, agriculture, and business.

Publisher

IGI Global

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Q-Learning for Virtual Autonomous Automobile;Proceedings of Data Analytics and Management;2024

2. Anomaly Detection Algorithm with Blockchain to Detect Potential Security Attacks in the IIoT Model of Industry 5.0;Communications in Computer and Information Science;2023-12-23

3. Machine Learning Techniques for Analysis of Mars Weather Data;2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2023-06-29

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