Theoretical Artificial Intelligence Based on Shannon Entropy to Identify Strains in Covid-19 Pandemic

Author:

Nieto-Chaupis Huber

Publisher

IEEE

Cited by 5 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. Is Omicron Belonging to the Corona Virus Family? A Physics-based Note;2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA);2022-08-08

2. The Double-slit experiment and Feynman Amplitudes to Interpret the Rise of Omicron at the Covid-19 Pandemic at 2022;2022 International Conference on Electrical, Computer and Energy Technologies (ICECET);2022-07-20

3. Universal Estimation of an Intercity Social Distancing in Covid-19 Epochs;2022 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT);2022-03-10

4. Pandemic of Covid-19 as Global Entropy: When Shannon Theory fits To-Date Data of New Infections;2021 International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB);2021-12-10

5. Software Engineering For Estimation of Social Distancing in Pandemic Times;2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD);2021-11-24

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