Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care. - Ibrahim Olatunji Idowu; Paul Fergus; Abir Jaafar Hussain; Chelsea Dobbins; Mohammed Khalaf 001; Raúl V. Casaña Eslava; Robert Keight (CIT/IUCC/DASC/PICom, 2015)

Robust Approach for Medical Data Classification and Deploying Self-Care Management System for Sickle Cell Disease. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Russell Keenan; Paul Fergus; Ibrahim Olatunji Idowu (CIT/IUCC/DASC/PICom, 2015)

Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Russell Keenan; Robert Keight; Paul Fergus; Ibrahim Olatunji Idowu (DeSE, 2015)

The Impact of Social Media and Its Utilisation by Pharmaceutical Companies. - Ursula Lennon; Abir Jaafar Hussain; Hulya Francis; Dhiya Al-Jumeily; Paul Fergus; Mohammed Khalaf 001; Naeem Radi (DeSE, 2015)

A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Paul Fergus; Russell Keenan; Naeem Radi (ICIC (2), 2015)

The utilisation of social media for bridging the gap between patients and pharmaceutical companies. - Abir Jaafar Hussain; Dhiya Al-Jumeily; Paul Fergus; Ursula Lennon; Mohammed Khalaf 001; Naeem Radi (IWSSIP, 2015)

Advance flood detection and notification system based on sensor technology and machine learning algorithm. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Paul Fergus; Ibrahim Olatunji Idowu (IWSSIP, 2015)

The Effects of Premature Birth on Children Education. - Wafaa Mahdi Salih; Abir Jaafar Hussain; Mohammed Khalaf 001; Janet Lunn; Dhiya Al-Jumeily; Paul Fergus; Timothy Ealeifo; Hanaa Mahdi Salih (DeSE, 2016)

Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Robert Keight; Russell Keenan; Paul Fergus; Haya Al-Askar; Andy Shaw; Ibrahim Olatunji Idowu (ICIC (1), 2016)

Detecting the Disc Herniation in Segmented Lumbar Spine MR Image Using Centroid Distance Function. - Ala S. Al Kafri; Sud Sudirman; Abir Jaafar Hussain; Paul Fergus; Dhiya Al-Jumeily; Hiba Al Smadi; Mohammed Khalaf 001; Mohammed Al-Jumaily; Wasfi Al-Rashdan; Mohammad Bashtawi (DeSE, 2017)

Recurrent Neural Network Architectures for Analysing Biomedical Data Sets. - Mohammed Khalaf 001; Abir Jaafar Hussain; Robert Keight; Dhiya Al-Jumeily; Russell Keenan; Carl Chalmers; Paul Fergus; Wafaa Salih; Dhafar Hamed Abd; Ibrahim Olatunji Idowu (DeSE, 2017)

Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features. - Ala S. Al Kafri; Sud Sudirman; Abir Jaafar Hussain; Paul Fergus; Dhiya Al-Jumeily; Hiba Al Smadi; Mohammed Khalaf 001; Mohammed Al-Jumaily; Wasfi Al-Rashdan; Mohammad Bashtawi; Jamila Mustafina (ICIC (3), 2017)

A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Robert Keight; Russell Keenan; Ala S. Al Kafri; Carl Chalmers; Paul Fergus; Ibrahim Olatunji Idowu (ICIC (2), 2017)

Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models. - Mohammed Khalaf 001; Abir Jaafar Hussain; Robert Keight; Dhiya Al-Jumeily; Paul Fergus; Russell Keenan; Posco Tso (Neurocomputing, 2017)

A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Thar Baker; Robert Keight; Paulo Lisboa; Paul Fergus; Ala S. Al Kafri (CEC, 2018)

A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting. - Abir Jaafar Hussain; Panos Liatsis; Mohammed Khalaf 001; Hissam Tawfik; Haya Al-Askar (Big Data Res., 2018)

Machine learning approaches and web-based system to the application of disease modifying therapy for sickle cell. - Mohammed Khalaf 001 (2018)

The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review. - Mohamed Alloghani; Dhiya Al-Jumeily; Ahmed J. Aljaaf; Mohammed Khalaf 001; Jamila Mustafina; Sin Ying Tan (ACRIT, 2019)

Design a Compact Non-linear S-Box with Multiple-Affine Transformations. - Omar A. Dawood; Mohammed Khalaf 001; Falath M. Mohammed; Hussein K. Almulla (ACRIT, 2019)

A Trusted MANET Routing Algorithm Based on Fuzzy Logic. - Qahtan M. Yas; Mohammed Khalaf 001 (ACRIT, 2019)

Investigating the Capability of Agile Processes to Support Medical Devices Regulations: The Case of XP, Scrum, and FDD with EU MDR Regulations. - Mohmood Alsaadi; Alexei Lisitsa 001; Mohammed Khalaf 001; Malik Qasaimeh (ICIC (3), 2019)

An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets. - Mohammed Khalaf 001; Abir Jaafar Hussain; Omar Alfandi; Dhiya Al-Jumeily; Mohamed Alloghani; Mahmood Alsaadi; Omar A. Dawood; Dhafar Hamed Abd (ICIC (2), 2019)

Corrigendum to "A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting" [Big Data Research 14 (2018) 81-92]. - Abir Jaafar Hussain; Panos Liatsis; Mohammed Khalaf 001; Hissam Tawfik; Haya Al-Askar (Big Data Res., 2019)

Implementation of machine learning algorithms to create diabetic patient re-admission profiles. - Mohamed Alloghani; Ahmed J. Aljaaf; Abir Hussain; Thar Baker; Jamila Mustafina; Dhiya Al-Jumeily; Mohammed Khalaf 001 (BMC Medical Informatics Decis. Mak., 2019)

IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models. - Mohammed Khalaf 001; Haya Alaskar; Abir Jaafar Hussain; Thar Baker; Zakaria Maamar; Rajkumar Buyya; Panos Liatsis; Wasiq Khan; Hissam Tawfik; Dhiya Al-Jumeily (IEEE Access, 2020)

Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles. - Mohamed Alloghani; Ahmed J. Aljaaf; Abir Hussain; Thar Baker; Jamila Mustafina; Dhiya Al-Jumeily; Mohammed Khalaf 001 (BMC Medical Informatics Decis. Mak., 2020)

Political Arabic Articles Orientation Using Rough Set Theory With Sentiment Lexicon. - Jwan K. Alwan; Abir Jaafar Hussain; Dhafar Hamed Abd; Ahmed Tariq Sadiq; Mohammed Khalaf 001; Panos Liatsis (IEEE Access, 2021)

Evaluating student levelling based on machine learning model's performance. - Shatha Ghareeb; Abir Jaafar Hussain; Dhiya Al-Jumeily; Wasiq Khan; Rawaa Al-Jumeily; Thar Baker; Ahmed Al-Shamma'a; Mohammed Khalaf 001 (Discov. Internet Things, 2022)

Perspectives on industry 4.0 awareness among undergraduate IT students in IRAQ: University of Anbar as a case study. - Ahmed J. Aljaaf; Mohammed Khalaf 001; Mushtak T. S. Neda Al-Ouqaili; Dhiya Al-Jumeily; Jamila Mustafina; Aysha Al-Rawi; Maha M. Rasheed (DeSE, 2023)

Exceeding manual labeling: vader lexicon as an accurate alternative to automatic sentiment classification. - Vivine Nurcahyawati; Zuriani Mustaffa; Mohammed Khalaf 001 (Int. Arab J. Inf. Technol., 2025)

Internet of Things Software Engineering Model Validation Using Knowledge-Based Semantic Learning. - Mahmood Alsaadi; Mohammed E. Seno; Mohammed I. Khalaf (Intell. Autom. Soft Comput., 2025)

Intelligent Holographic Computing Fusion Network for IoT Consumer Technology. - Haewon Byeon; Mohammed I. Khalaf; Janjhyam Venkata Naga Ramesh; Ankur Chaudhary; Tariq Ahamed Ahanger; K. B. V. Brahma Rao; Divya Nimma; Navruzbek Shavkatov; Rupesh Gupta (IEEE Trans. Consumer Electron., 2025)