Article

Ghareeb, S, Hussain, A, Al-Jumeily, D, Khan, W, Al Jumeily, R, Baker, T, Al Shammaa, A and Khalaf, M (2022) Evaluating student levelling based on machine learning model’s performance. Discover Internet of Things, 2 (1).

Alwan, JK, Hussain, A, Abd, DH, Sadiq, AT, Khalaf, M and Liatsis, P (2021) Political Arabic Articles Orientation Using Rough Set Theory with Sentiment Lexicon. IEEE Access. ISSN 2169-3536

Khalaf, M, Alaskar, H, Hussain, AJ, Baker, T, Maamar, Z, Buyya, R, Liatsis, P, Khan, W, Tawfik, H and Al-Jumeily, D (2020) IoT-enabled Flood Severity Prediction via Ensemble Machine Learning Models. IEEE Access, 8. pp. 70375-70386. ISSN 2169-3536

Hussain, A, Liatsis, P, Khalaf, M, Tawfik, H and Alaskar, H (2018) A Dynamic Neural Network Architecture with immunology Inspired Optimization for Weather Data Forecasting. Big Data Research. ISSN 2214-5796

Khalaf, M, Hussain, A, Keight, R, Al-Jumeily, D, Fergus, P, Keenan, R and Tso, P (2017) Machine Learning approaches to the application of Disease Modifying Therapy for Sickle Cell using Classification Models. NEUROCOMPUTING, 228. pp. 154-164. ISSN 0925-2312

Hussain, A, Lunn, J, Khalaf, M, Al-Jumeily, D, Pich, A and McCarthy, S (2016) The use of serious gaming for Open Learning environments. Knowledge Management & E-Learning: An International Journal, 8 (1). pp. 39-54. ISSN 2073-7904

Conference or Workshop Item

Khalaf, M, Hussain, A, Al-Jumeily, D, Baker, T, Keight, R, Lisboa, P, Alkafri, A and Fergus, P (2018) A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. In: 2018 IEEE Congress on Evolutionary Computation (CEC) . (IEEE Congress on Evolutionary Computation, 08 July 2018 - 13 July 2018, Brazil).

Khalaf, M, Hussain, A, Al-Jumeily, D, Keight, R, Keenan, R, Fergus, P, AlAskar, H, Shaw, A and Olatunji, I (2016) Training Neural networks for Experimental models: Classifying Biomedical Datasets for Sickle Cell Disease. In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science , 9771. pp. 784-795. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Khalaf, M, Hussain, A, Keight, R, Al-Jumeily, D, Keenan, R, Fergus, P and Idowu, IO (2016) The Utilisiation of composite Machine Learning models for the Classification of Medical Datasets For Sickle Cell Disease. In: 2016 Sixth International Conference on Digital Information Processing and Communications (ICDIPC) . (Sixth International Conference on Digital Information Processing and Communications (ICDIPC), 21 April 2016 - 23 April 2016, Lebanon).

Idowu, IO, Fergus, P, Hussain, A, Dobbins, C, Khalaf, M, Casana Eslava, R and Keight, R (2015) Artificial Intelligence for Detecting Preterm Uterine Activity in Gynacology and Obstertric Care. In: 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM) . pp. 215-220. (15th IEEE International Conference on Computer and Information Technology (CIT’15), 26 October 2015 - 28 October 2015, Liverpool, UK).

Khalaf, M, Hussain, A, Al-Jumeily, D, Fergus, P, Keenan, R and Radi, N (2015) A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease. In: Intelligent Computing Theories and Methodologies: Lecture Notes in Computer Science , 9226. (International Conference on Intelligent Computation, 20 August 2015 - 23 April 2016, Fuzhou, China).