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ORCIDMohammed Khalaf 0001
Person information
- affiliation: Al-Maarif University College, Ramadi, Iraq
- affiliation (former): Liverpool John Moores University, UK
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2020 – today
- 2023
[c20]Ahmed J. Aljaaf, Mohammed Khalaf, Mushtak T. S. Neda Al-Ouqaili, Dhiya Al-Jumeily, Jamila Mustafina, Aysha Al-Rawi, Maha M. Rasheed:
Perspectives on industry 4.0 awareness among undergraduate IT students in IRAQ: University of Anbar as a case study. DeSE 2023: 777-781- 2022
- [j8]Shatha Ghareeb, Abir Jaafar Hussain, Dhiya Al-Jumeily, Wasiq Khan
, Rawaa Al-Jumeily, Thar Baker, Ahmed Al-Shamma'a, Mohammed Khalaf:
Evaluating student levelling based on machine learning model's performance. Discov. Internet Things 2(1) (2022) - 2021
- [j7]Jwan K. Alwan, Abir Jaafar Hussain, Dhafar Hamed Abd, Ahmed Tariq Sadiq, Mohammed Khalaf, Panos Liatsis:
Political Arabic Articles Orientation Using Rough Set Theory With Sentiment Lexicon. IEEE Access 9: 24475-24484 (2021) - 2020
- [j6]Mohammed Khalaf, Haya Alaskar, Abir Jaafar Hussain, Thar Baker, Zakaria Maamar, Rajkumar Buyya, Panos Liatsis, Wasiq Khan, Hissam Tawfik, Dhiya Al-Jumeily:
IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models. IEEE Access 8: 70375-70386 (2020) - [j5]Mohamed Alloghani, Ahmed J. Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily, Mohammed Khalaf:
Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles. BMC Medical Informatics Decis. Mak. 20(1): 93 (2020) - [e1]Mohammed I. Khalaf, Dhiya Al-Jumeily, Alexei Lisitsa:
Applied Computing to Support Industry: Innovation and Technology - First International Conference, ACRIT 2019, Ramadi, Iraq, September 15-16, 2019, Revised Selected Papers. Communications in Computer and Information Science 1174, Springer 2020, ISBN 978-3-030-38751-8 [contents]
2010 – 2019
- 2019
- [j4]Abir Jaafar Hussain, Panos Liatsis, Mohammed Khalaf, Hissam Tawfik, Haya Al-Askar:
Corrigendum to "A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting" [Big Data Research 14 (2018) 81-92]. Big Data Res. 18 (2019) - [j3]Mohamed Alloghani, Ahmed J. Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily, Mohammed Khalaf:
Implementation of machine learning algorithms to create diabetic patient re-admission profiles. BMC Medical Informatics Decis. Mak. 19-S(9): 253 (2019) - [c19]Qahtan M. Yas, Mohammed Khalaf:
A Trusted MANET Routing Algorithm Based on Fuzzy Logic. ACRIT 2019: 185-200 - [c18]Mohamed Alloghani, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Mohammed Khalaf, Jamila Mustafina, Sin Ying Tan:
The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review. ACRIT 2019: 248-261 - [c17]Omar A. Dawood, Mohammed Khalaf, Falath M. Mohammed, Hussein K. Almulla:
Design a Compact Non-linear S-Box with Multiple-Affine Transformations. ACRIT 2019: 439-452 - [c16]Mohammed Khalaf, Abir Jaafar Hussain, Omar Alfandi, Dhiya Al-Jumeily, Mohamed Alloghani, Mahmood Alsaadi, Omar A. Dawood, Dhafar Hamed Abd:
An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets. ICIC (2) 2019: 580-591 - [c15]Mohmood Alsaadi, Alexei Lisitsa, Mohammed Khalaf, Malik Qasaimeh:
Investigating the Capability of Agile Processes to Support Medical Devices Regulations: The Case of XP, Scrum, and FDD with EU MDR Regulations. ICIC (3) 2019: 581-592 - 2018
- [b1]Mohammed Khalaf:
Machine learning approaches and web-based system to the application of disease modifying therapy for sickle cell. Liverpool John Moores University, UK, 2018 - [j2]Abir Jaafar Hussain, Panos Liatsis, Mohammed Khalaf, Hissam Tawfik, Haya Al-Askar:
A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting. Big Data Res. 14: 81-92 (2018) - [c14]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Thar Baker, Robert Keight, Paulo Lisboa, Paul Fergus, Ala S. Al Kafri:
A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. CEC 2018: 1-8 - 2017
- [j1]Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Paul Fergus, Russell Keenan, Posco Tso:
Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models. Neurocomputing 228: 154-164 (2017) - [c13]Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Hiba Al Smadi, Mohammed Khalaf, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi:
Detecting the Disc Herniation in Segmented Lumbar Spine MR Image Using Centroid Distance Function. DeSE 2017: 9-13 - [c12]Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Russell Keenan, Carl Chalmers, Paul Fergus, Wafaa Salih, Dhafar Hamed Abd, Ibrahim Olatunji Idowu:
Recurrent Neural Network Architectures for Analysing Biomedical Data Sets. DeSE 2017: 232-237 - [c11]Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Hiba Al Smadi, Mohammed Khalaf, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi, Jamila Mustafina:
Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features. ICIC (3) 2017: 107-116 - [c10]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Ala S. Al Kafri, Carl Chalmers, Paul Fergus, Ibrahim Olatunji Idowu:
A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets. ICIC (2) 2017: 115-121 - 2016
- [c9]Wafaa Mahdi Salih, Abir Jaafar Hussain, Mohammed Khalaf, Janet Lunn, Dhiya Al-Jumeily, Paul Fergus, Timothy Ealeifo, Hanaa Mahdi Salih:
The Effects of Premature Birth on Children Education. DeSE 2016: 51-55 - [c8]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Paul Fergus, Haya Al-Askar, Andy Shaw, Ibrahim Olatunji Idowu:
Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease. ICIC (1) 2016: 784-795 - 2015
- [c7]Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Mohammed Khalaf, Raúl V. Casaña Eslava, Robert Keight:
Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care. CIT/IUCC/DASC/PICom 2015: 215-220 - [c6]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Paul Fergus, Ibrahim Olatunji Idowu:
Robust Approach for Medical Data Classification and Deploying Self-Care Management System for Sickle Cell Disease. CIT/IUCC/DASC/PICom 2015: 575-580 - [c5]Ursula Lennon, Abir Jaafar Hussain, Hulya Francis, Dhiya Al-Jumeily, Paul Fergus, Mohammed Khalaf, Naeem Radi:
The Impact of Social Media and Its Utilisation by Pharmaceutical Companies. DeSE 2015: 14-19 - [c4]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Robert Keight, Paul Fergus, Ibrahim Olatunji Idowu:
Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease. DeSE 2015: 231-235 - [c3]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Russell Keenan, Naeem Radi:
A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease. ICIC (2) 2015: 665-675 - [c2]Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Ibrahim Olatunji Idowu:
Advance flood detection and notification system based on sensor technology and machine learning algorithm. IWSSIP 2015: 105-108 - [c1]Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Ursula Lennon, Mohammed Khalaf, Naeem Radi:
The utilisation of social media for bridging the gap between patients and pharmaceutical companies. IWSSIP 2015: 179-183
Coauthor Index
aka: Abir Hussain
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