Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations. - Karrar Hameed Abdulkareem; Nureize Arbaiy; Zainab Hussein Arif; Mohammed Nasser Al-Mhiqani; Mazin Abed Mohammed; Seifedine Kadry 001; Zaid Abdi Alkareem Alyasseri (Int. J. Interact. Multim. Artif. Intell., 2021)

Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques. - Zainab Hussein Arif; Moamin A. Mahmoud; Karrar Hameed Abdulkareem; Mazin Abed Mohammed; Mohammed Nasser Al-Mhiqani; Ammar Awad Mutlag; Robertas Damasevicius (IET Image Process., 2022)

Adaptive Deep Learning Detection Model for Multi- Foggy Images. - Zainab Hussein Arif; Moamin A. Mahmoud; Karrar Hameed Abdulkareem; Seifedine Kadry 001; Mazin Abed Mohammed; Mohammed Nasser Al-Mhiqani; Alaa S. Al-Waisy; Jan Nedoma (Int. J. Interact. Multim. Artif. Intell., 2022)

Feature Selection for Detecting ICMPv6-Based DDoS Attacks Using Binary Flower Pollination Algorithm. - Adnan Hasan Bdair Aighuraibawi; Selvakumar Manickam; Rosni Abdullah; Zaid Abdi Alkareem Alyasseri; Ayman Khallel Ibrahim Al-Ani; Dilovan Asaad Zebari; Hussam J. Mohammed; Mazin Abed Mohammed; Zainab Hussein Arif (Comput. Syst. Sci. Eng., 2023)