| IoT-enabled flood severity prediction via ensemble machine learning models M Khalaf, H Alaskar, AJ Hussain, T Baker, Z Maamar, R Buyya, P Liatsis, ... IEEE Access 8, 70375-70386, 2020 | 77 | 2020 |
| Implementation of machine learning algorithms to create diabetic patient re-admission profiles M Alloghani, A Aljaaf, A Hussain, T Baker, J Mustafina, D Al-Jumeily, ... BMC medical informatics and decision making 19, 1-16, 2019 | 56 | 2019 |
| A data science methodology based on machine learning algorithms for flood severity prediction M Khalaf, AJ Hussain, D Al-Jumeily, T Baker, R Keight, P Lisboa, ... 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 54 | 2018 |
| Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models M Khalaf, AJ Hussain, R Keight, D Al-Jumeily, P Fergus, R Keenan, P Tso Neurocomputing 228, 154-164, 2017 | 51 | 2017 |
| Artificial intelligence for detecting preterm uterine activity in gynecology and obstetric care IO Idowu, P Fergus, A Hussain, C Dobbins, M Khalaf, RVC Eslava, ... 2015 IEEE international conference on computer and information technology …, 2015 | 51 | 2015 |
| The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review M Alloghani, D Al-Jumeily, AJ Aljaaf, M Khalaf, J Mustafina, SY Tan International Conference on Applied Computing to Support Industry …, 2019 | 44 | 2019 |
| Advance flood detection and notification system based on sensor technology and machine learning algorithm M Khalaf, AJ Hussain, D Al-Jumeily, P Fergus, IO Idowu 2015 International conference on systems, signals and image processing …, 2015 | 43 | 2015 |
| The Probe into Reflection Mobile Radio Propagation AH Mohammed, AM Shantaf, M Khalaf 2020 International Congress on Human-Computer Interaction, Optimization and …, 2020 | 32 | 2020 |
| The Middle Eastern Biodiversity Network: Generating and sharing knowledge for ecosystem management and conservation F Krupp, M Al-Jumaily, M Bariche, M Khalaf, M Malek, B Streit Animal Biodiversity in the Middle East. Proceedings of the First Middle …, 2008 | 27 | 2008 |
| Political Arabic articles orientation using rough set theory with sentiment lexicon JK Alwan, AJ Hussain, DH Abd, AT Sadiq, M Khalaf, P Liatsis IEEE Access 9, 24475-24484, 2021 | 24 | 2021 |
| A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting AJ Hussain, P Liatsis, M Khalaf, H Tawfik, H Al-Asker Big Data Research 18, 100125, 2019 | 24 | 2019 |
| Implementation a various types of machine learning approaches for biomedical datasets based on sickle cell disorder HF Dheyab, ON Ucan, M Khalaf, AH Mohammed 2020 4th International Symposium on Multidisciplinary Studies and Innovative …, 2020 | 19 | 2020 |
| An application of using support vector machine based on classification technique for predicting medical data sets M Khalaf, AJ Hussain, O Alafandi, D Al-Jumeily, M Alloghani, M Alsaadi, ... Intelligent Computing Theories and Application: 15th International …, 2019 | 19 | 2019 |
| Recurrent neural network architectures for analysing biomedical data sets M Khalaf, AJ Hussain, R Keight, D Al-Jumeily, R Keenan, C Chalmers, ... 2017 10th International Conference on Developments in eSystems Engineering …, 2017 | 19 | 2017 |
| Evaluating student levelling based on machine learning model’s performance S Ghareeb, AJ Hussain, D Al-Jumeily, W Khan, R Al-Jumeily, T Baker, ... Discover Internet of Things 2 (1), 3, 2022 | 18 | 2022 |
| Investigating the capability of agile processes to support medical devices regulations: The case of xp, scrum, and FDD with EU MDR regulations M Alsaadi, A Lisitsa, M Khalaf, M Qasaimeh Intelligent Computing Methodologies: 15th International Conference, ICIC …, 2019 | 18 | 2019 |
| The utilisation of composite machine learning models for the classification of medical datasets for sickle cell disease M Khalaf, AJ Hussain, R Keight, D Al-Jumeily, R Keenan, P Fergus, ... 2016 Sixth International Conference on Digital Information Processing and …, 2016 | 18 | 2016 |
| Training neural networks as experimental models: classifying biomedical datasets for sickle cell disease M Khalaf, AJ Hussain, D Al-Jumeily, R Keight, R Keenan, P Fergus, ... Intelligent Computing Theories and Application: 12th International …, 2016 | 15 | 2016 |
| The use of serious gaming for Open Learning environments A Hussain, J Lunn, M Khalaf, D Al-Jumeily, A Pich, S McCarthy Knowledge Management & E-Learning: An International Journal 8 (1), 39-54, 2016 | 14 | 2016 |
| Robust approach for medical data classification and deploying self-care management system for sickle cell disease M Khalaf, AJ Hussain, D Al-Jumeily, R Keenan, P Fergus, IO Idowu 2015 IEEE International Conference on Computer and Information Technology …, 2015 | 14 | 2015 |
Prof. Abir Jaafar hussainUniversity of Sharjah; Liverpool John Moores UniversityEmail confirmado em sharjah.ac.ae
