Smart and Automated Diagnosis of COVID-19 Using Artificial Intelligence Techniques-Reference-Cited by-同舟云学术

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Smart and Automated Diagnosis of COVID-19 Using Artificial Intelligence Techniques

Published:2022 Issue:3 Volume:32 Page:1403-1413
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Alajmi Masoud,A. Elshakankiry Osama,El-Shafai Walid,S. El-Sayed Hala,I. Sallam Ahmed,M. El-Hoseny Heba,Sedik Ahmed,S. Faragallah Osama

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://www.techscience.com/iasc/v32n3/45901/pdf

Cited by 4 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. Decoding SARS-CoV-2 Variants: An in-silico approach to RNA-Seq feature extraction using K-mers and N-grams;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24

2. COViT: Convolutions and ViT based Deep Learning Model for Covid19 and Viral Pneumonia Classification using X-ray Datasets;Proceedings of the 2023 7th International Conference on Computational Biology and Bioinformatics;2023-12-11

3. CPNet: Covid19 and Viral Pneumonia Automated Detection Based on Convolutional Neural Network;2023 5th International Conference on Robotics and Computer Vision (ICRCV);2023-09-15

4. A Comprehensive Review of Machine Learning Used to Combat COVID-19;Diagnostics;2022-07-31

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