Ala S. Al Kafri
Orcid: 0000-0002-6825-9110
According to our database1,
Ala S. Al Kafri
authored at least 11 papers
between 2016 and 2024.
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Bibliography
2024
Deep face profiler (DeFaP): Towards explicit, non-restrained, non-invasive, facial and gaze comprehension.
Expert Syst. Appl., 2024
2023
Stationary Vehicles Detection on Smart Highways and Roads using Spatio-temporal Tracking.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
2019
A machine learning and computer assisted methodology for diagnosing chronic lower back pain on lumbar spine magnetic resonance images.
PhD thesis, 2019
Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection Through Semantic Segmentation Using Deep Neural Networks.
IEEE Access, 2019
2018
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Segmentation of Lumbar Spine MRI Images for Stenosis Detection Using Patch-Based Pixel Classification Neural Network.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
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
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
A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics Technologies.
Proceedings of the Intelligent Computing Theories and Application, 2016