A systematic review of trustworthy artificial intelligence applications in natural disasters
A. S. Albahri(University of Information Technology and Communications), Laith Alzubaidi(Queensland University of Technology), Reem D. Ismael(University of Tikrit), Qabas A. Hameed(University of Tikrit), Yahya Layth Khaleel(University of Tikrit), A. H. Alamoodi(Applied Science Private University), Raad Z. Homod(University of Basrah), Mustafa Abdulfattah Habeeb(University of Tikrit), O. S. Albahri(Federation University), Muhammet Deveci(Naval Academy)
Cited by 214
Related Papers
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
|Journal Of Big Data|2021|7.4k
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
|Journal Of Big Data|2023|784
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
|Information Fusion|2023|673
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review
|Expert Systems with Applications|2020|379
Telehealth utilization during the Covid-19 pandemic: A systematic review
|Computers in Biology and Medicine|2021|373