RespiroDynamics: A Multifaceted Dataset for Enhanced Lung Health Assessment Using Deep Learning-Reference-Cited by-同舟云学术

RespiroDynamics: A Multifaceted Dataset for Enhanced Lung Health Assessment Using Deep Learning

Published:2024 Issue: Volume:12 Page:42614-42628
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sharshar Ahmed¹^ORCID,Sharshar Muhammad²^ORCID,Elhady Hosam²^ORCID,Aboeitta Ahmed³,Nafea Youssef³^ORCID,Ashraf Yasser⁴^ORCID,Yaqub Mohammad¹^ORCID,Guizani Mohsen⁴^ORCID

Affiliation:

1. Department of Computer Vision, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates

2. Cyber-Physical Lab, Egypt-Japan University of Science and Technology (E-JUST), Alexandria, Egypt

3. Department of Natural Language Processing, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates

4. Department of Machine Learning, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates

Funder

Mohamed Bin Zayed University of Artificial Intelligence

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10473011.pdf?arnumber=10473011

Reference41 articles.

1. Assessment of Inter-Instrument Reliability for Dominant Handgrip Dynamometry and Spirometry

2. UTILITY OF SPIROMETRY IN ASSESSMENT OF UPPER AIRWAY OBSTRUCTIONS: THE NEGLECTED PARAMETERS

3. Air Pollution in Poland: A 2022 Narrative Review with Focus on Respiratory Diseases

4. Lung Health for All: Chronic Obstructive Lung Disease and World Lung Day 2022

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1. Corrections to “RespiroDynamics: A Multifaceted Dataset for Enhanced Lung Health Assessment Using Deep Learning”;IEEE Access;2024