Design and development of hybrid optimization enabled deep learning model for COVID-19 detection with comparative analysis with DCNN, BIAT-GRU, XGBoost.

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作者： Jawad Ahmad,Dar ^[1] ; Kamal Kr,Srivastava ^[2] ; Sajaad,Ahmed Lone ^[3]

作者单位： Department of Computer Science and Engineering, Mansarovar Global University, Madhya Pradesh, India. Electronic address: jawadsirphysics@gmail.com. ^[1] Department of Computer Science and Engineering, Mansarovar Global University, Madhya Pradesh, India. Electronic address: kamalsrivastava0001@gmail.com. ^[2] Department of Computer Science and Engineering, Islamic University of Science and Technology, Kashmir, India. Electronic address: sajaad.lone@islamicuniversity.edu.in. ^[3]

关键词 (SARS-CoV-2) Covid-19 detection Fuzzy Hybrid optimization Mel frequency cepstral coefficients Neural network Spectral centroid Spectral flatness

主题词人类(Humans);动物(Animals);咳嗽(Cough);呼吸音(Respiratory Sounds);鼬科(Mustelidae)

DOI 10.1016/j.compbiomed.2022.106123

PMID 36228465

发布时间 2024-11-05

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