MK
Mohammed Ibrahim Khalaf
Liverpool John Moores University
Research areas: Computer Science · Information Systems · Artificial Intelligence in Healthcare · Data Mining and Machine Learning Applications · Emotion and Mood Recognition
Employment
Employment history is unavailable.
Education
- 2014 - 2018
Projects & Funding
Projects & funding information is unavailable.
Publications (28)
- Intelligent Holographic Computing Fusion Network for IoT Consumer Technology Save
- Post-Quantum Secure Blockchain Framework for Edge-Based Mobile Task Offloading in Consumer Electronics and IoTs Save
- Spatiotemporal Network for Accurate Traffic Flow Prediction in Intelligent Transportation Systems Using Generative AI Save
- A Trusted MANET Routing Algorithm Based on Fuzzy Logic Save
- Design a Compact Non-linear S-Box with Multiple-Affine Transformations Save
- IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models Save
- The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review Save
- A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction Save
- A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting Save
- Detecting the Disc Herniation in Segmented Lumbar Spine MR Image Using Centroid Distance Function Save
- Recurrent Neural Network Architectures for Analysing Biomedical Data Sets Save
- A performance evaluation of systematic analysis for combining multi-class models for sickle cell disorder data sets Save
- Lumbar spine discs labeling using axial view MRI based on the pixels coordinate and gray level features Save
- Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models Save
- The Effects of Premature Birth on Children Education Save
- Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease Save
- The Impact of Social Media and Its Utilisation by Pharmaceutical Companies Save
- The use of serious gaming for Open Learning environments Save
- The use of serious gaming for Open Learning environments Save
- The utilisation of composite machine learning models for the classification of medical datasets for sickle cell disease Save