Mohamed Lachgar

Orcid: 0000-0002-6155-3309

According to our database1, Mohamed Lachgar authored at least 20 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Bibliography

2024
Version [1.1.0]- [DLDiagnosis: A mobile and web application for diseases classification using Deep Learning].
SoftwareX, 2024

BlockSupply: Blockchain-based logistics traceability solution.
Softw. Impacts, 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
AIDSII: An AI-based digital system for intelligent irrigation.
Softw. Impacts, September, 2023

DLDiagnosis: A mobile and web application for diseases classification using Deep Learning.
SoftwareX, July, 2023

Evaluating FFT-Based Convolutions on Skin Diseases Dataset.
Proceedings of the 3rd International Conference on Artificial Intelligence and Computer Vision, 2023

2022
Transfer Learning in Keratoconus Classification.
Int. J. Online Biomed. Eng., December, 2022

Comparative Study of Multiple CNN Models for Classification of 23 Skin Diseases.
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

Predicting smart grid stability using machine learning algorithms.
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
Porting Mobile Apps from iOS to Android: A Practical Experience.
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
Generating Android graphical user interfaces using an MDA approach.
Proceedings of the Third IEEE International Colloquium in Information Science and Technology, 2014


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