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pro vyhledávání: '"Multi-layer ensemble deep learning (MLEDL)CoughAudio analysis CoughFeatureRanker algorithm"'
Autor:
Shabir Husssain, Muhammad Ayoub, Junaid Abdul Wahid, Akmal Khan, Amerah Alabrah, Gehad Abdullah Amran
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract In response to the pressing requirement for precise and easily accessible COVID-19 detection methods, we present the Cough2COVID-19 framework, which is cost-effective, non-intrusive, and widely accessible. The conventional diagnostic methods
Externí odkaz:
https://doaj.org/article/6698fe3a9fb141a0a8a876e9dcf749a4
Autor:
Husssain S; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China., Ayoub M; Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China., Wahid JA; School of Computer and Artificial Intelligence, Zhengzhou University, Henan, 450001, China., Khan A; Department of Data Science, The Islamia University of Bahawalpur, Bahawalpur, Punjab, 63100, Pakistan., Alabrah A; Department of Information Systems, College of Computer and Information Science, King Saud University, Riyadh, 11543, Saudi Arabia., Amran GA; Department of Management Science and Engineering, Dalian University of Technology, Dalian, 116024, China. jehad.westran@gmail.com.
Publikováno v:
Scientific reports [Sci Rep] 2024 Oct 24; Vol. 14 (1), pp. 25207. Date of Electronic Publication: 2024 Oct 24.