Mohamed Lachgar
Orcid: 0000-0002-6155-3309
According to our database1,
Mohamed Lachgar
authored at least 22 papers
between 2014 and 2025.
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Bibliography
2025
decideXpert: Collaborative system using AHP-TOPSIS and fuzzy techniques for multicriteria group decision-making.
SoftwareX, 2025
2024
SmartBlendEd: Enhancing blended learning through AI-optimized scheduling and user-centric design.
SoftwareX, 2024
Version [1.1.0]- [DLDiagnosis: A mobile and web application for diseases classification using Deep Learning].
SoftwareX, 2024
A Literature Review of Collaborative Virtual Environments: Impacts, Design Principles, and Challenges.
J. Inf. Technol. Educ. Res., 2024
Flexible Ureteroscopy Lithotripsy Operative Time Prediction Model for the Treatment of Kidney Stones.
Int. J. Online Biomed. Eng., 2024
Enhancing Urban Traffic Management Through Real-Time Anomaly Detection and Load Balancing.
IEEE Access, 2024
2023
Softw. Impacts, September, 2023
DLDiagnosis: A mobile and web application for diseases classification using Deep Learning.
SoftwareX, July, 2023
Proceedings of the 3rd International Conference on Artificial Intelligence and Computer Vision, 2023
2022
Int. J. Online Biomed. Eng., December, 2022
Int. J. Online Biomed. Eng., August, 2022
Decision Framework for Cross-Platform Mobile Development Frameworks Using an Integrated Multi-Criteria Decision-Making Methodology.
Int. J. Mob. Comput. Multim. Commun., 2022
Impact of regularization on the effectiveness of transfer learning for olive disease classification.
Proceedings of the 11th International Symposium on Signal, Image, Video and Communications, 2022
Proceedings of the 11th International Symposium on Signal, Image, Video and Communications, 2022
Ensemble learning methods for deep learning: Application to skin lesions classification.
Proceedings of the 11th International Symposium on Signal, Image, Video and Communications, 2022
2021
MDA Approach for Designing and Developing Data Warehouses: A Systematic Review & Proposal.
Int. J. Online Biomed. Eng., 2021
2020
An Overview of Gradient Descent Algorithm Optimization in Machine Learning: Application in the Ophthalmology Field.
Proceedings of the Smart Applications and Data Analysis - Third International Conference, 2020
2019
Mob. Inf. Syst., 2019
2017
Approche MDA pour automatiser la Generation de Code natif pour les Applications mobiles multiplateformes. (MDA Approach for Automating the Native Code Generation for Multi-Plateform Mobile Applications).
PhD thesis, 2017
Modeling and generating native code for cross-platform mobile applications using DSL.
Intell. Autom. Soft Comput., 2017
2014
Proceedings of the Third IEEE International Colloquium in Information Science and Technology, 2014