Mohammed Khalaf
Orcid: 0000-0002-3805-5627Affiliations:
- Al-Maarif University College, Ramadi, Iraq
- Liverpool John Moores University, UK (former)
According to our database1,
Mohammed Khalaf
authored at least 29 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
2023
Perspectives on industry 4.0 awareness among undergraduate IT students in IRAQ: University of Anbar as a case study.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
2022
Discov. Internet Things, 2022
2021
IEEE Access, 2021
2020
Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles.
BMC Medical Informatics Decis. Mak., 2020
IEEE Access, 2020
2019
Implementation of machine learning algorithms to create diabetic patient re-admission profiles.
BMC Medical Informatics Decis. Mak., 2019
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., 2019
An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets.
Proceedings of the Intelligent Computing Theories and Application, 2019
Investigating the Capability of Agile Processes to Support Medical Devices Regulations: The Case of XP, Scrum, and FDD with EU MDR Regulations.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Proceedings of the Applied Computing to Support Industry: Innovation and Technology, 2019
Proceedings of the Applied Computing to Support Industry: Innovation and Technology, 2019
The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review.
Proceedings of the Applied Computing to Support Industry: Innovation and Technology, 2019
2018
Machine learning approaches and web-based system to the application of disease modifying therapy for sickle cell.
PhD thesis, 2018
A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting.
Big Data Res., 2018
A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models.
Neurocomputing, 2017
A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets.
Proceedings of the Intelligent Computing Theories and Application, 2017
Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features.
Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017
Detecting the Disc Herniation in Segmented Lumbar Spine MR Image Using Centroid Distance Function.
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017
2016
Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease.
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the 9th International Conference on Developments in eSystems Engineering, 2016
2015
Advance flood detection and notification system based on sensor technology and machine learning algorithm.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
The utilisation of social media for bridging the gap between patients and pharmaceutical companies.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015
Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease.
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015
Robust Approach for Medical Data Classification and Deploying Self-Care Management System for Sickle Cell Disease.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015
Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015