Adaptive Deep Learning Detection Model for Multi-Foggy Images

by Arif Z.H., Mahmoud M.A., Abdulkareem K.H., Kadry S., Mohammed M.A., Al-Mhiqani M.N., Al-Waisy A.S., Nedoma J.
Published 2023

A review of fog computing and machine learning: Concepts, applications, challenges, and open issues

by Abdulkareem, K.H., Mohammed, M.A., Gunasekaran, S.S., Al-Mhiqani, M.N., Mutlag, A.A., Mostafa, S.A., Ali, N.S., Ibrahim, D.A.
Published 2020

Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques

by Arif Z.H., Mahmoud M.A., Abdulkareem K.H., Mohammed M.A., Al-Mhiqani M.N., Mutlag A.A., Dama�evi?ius R.
Published 2023

A review of fog computing and machine learning: Concepts, applications, challenges, and open issues

by Abdulkareem K.H., Mohammed M.A., Gunasekaran S.S., Al-Mhiqani M.N., Mutlag A.A., Mostafa S.A., Ali N.S., Ibrahim D.A.
Published 2023

A Uniform Intelligent Prioritisation for Solving Diverse and Big Data Generated from Multiple Chronic Diseases Patients Based on Hybrid Decision-Making and Voting Method

by Mohammed, K.I., Jaafar, J., Zaidan, A.A., Albahri, O.S., Zaidan, B.B., Abdulkareem, K.H., Jasim, A.N., Shareef, A.H., Baqer, M.J., Albahri, A.S., Alsalem, M.A., Alamoodi, A.H.
Published 2020