A SYSTEMATIC LITERATURE REVIEW OF MACHINE AND DEEP LEARNING-BASED DETECTION AND CLASSIFICATION METHODS FOR DISEASES RELATED TO THE RESPIRATORY SYSTEM

field_of_study

Blank

university

Al-Azhar University – Gaza

authors

Zarandah Q.M.M.; Daud S.M.; Abu-Naser S.S.

authors_full_names

Zarandah, Qasem M.M. (58186837000); Daud, Salwani Mohd (59736061300); Abu-Naser, Samy S. (26533902900)

authors_id

58186837000; 59736061300; 26533902900

year

2023

source_title

Journal of Theoretical and Applied Information Technology

article_title

A SYSTEMATIC LITERATURE REVIEW OF MACHINE AND DEEP LEARNING-BASED DETECTION AND CLASSIFICATION METHODS FOR DISEASES RELATED TO THE RESPIRATORY SYSTEM

volume

101

issue

4

page_start

1273

page_end

1296

publisher

Little Lion Scientific

affiliations

University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine

authors_with_affiliations

Zarandah Q.M.M., University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; Daud S.M., University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; Abu-Naser S.S., Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine

cited_by

40

author_keywords

Audio; Classification; Deep Learning; Detection; Literature Review; Machine Learning; Respiratory System