Detection of COVID-19 Enhanced by a Deep Extreme Learning Machine-Reference-Cited by-同舟云学术

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Detection of COVID-19 Enhanced by a Deep Extreme Learning Machine

Published:2021 Issue:3 Volume:27 Page:701-712
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Inam Aaqib,Zhuli ,Sarwar Ayesha,Salah-ud-din ,Atta Ayesha,Naaseer Iftikhar,Yamin Siddiqui Shahan,Adnan Khan Muhammad

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

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

Cited by 12 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. Applying a Higher Number of Output Membership Functions to Enhance the Precision of a Fuzzy System;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

2. Fuzzy Logic Based Lipid Profile Control System;Lecture Notes in Networks and Systems;2024

3. Automated Door to Prevent COVID-19 using Fuzzy Logic;2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE);2023-12-30

4. Prediction model of the large commercial building cooling loads based on rough set and deep extreme learning machine;Journal of Building Engineering;2023-12

5. Prognosticating various acute covid lung disorders from COVID-19 patient using chest CT Images;Engineering Applications of Artificial Intelligence;2023-03

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