Mohamed Lachgar

According to our database, Mohamed Lachgar authored at least 21 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SmartBlendEd: Enhancing blended learning through AI-optimized scheduling and user-centric design.

Lahoussaine Ait Ounejjar, Mohamed Lachgar, Oussama Ouhayou, My Driss Laanaoui, Elhadi Refki, Reda Makaoui, Abdelghani Saoud

SoftwareX, 2024

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

My Driss Laanaoui, Mustapha Aatila, Mohamed Lachgar, Hamid Hrimech, Okacha Najia, Assouma Roukéya, Abou Elkhir Mohamed

SoftwareX, 2024

BlockSupply: Blockchain-based logistics traceability solution.

Zineb Kamal Idrissi, Mohamed Lachgar, Hamid Hrimech, Meryem Yousfi, Ghita Layoune, Hanae Hanim

Softw. Impacts, 2024

A Literature Review of Collaborative Virtual Environments: Impacts, Design Principles, and Challenges.

Oumaima Derouech, Hamid Hrimech, Mohamed Lachgar, Mohamed Hanine

J. Inf. Technol. Educ. Res., 2024

Flexible Ureteroscopy Lithotripsy Operative Time Prediction Model for the Treatment of Kidney Stones.

Chafik Baidada, Mustapha Aatila, Mohamed Lachgar, Hamid Hrimech, Younes Ommane, Abderrahim Houlali

Int. J. Online Biomed. Eng., 2024

Enhancing Urban Traffic Management Through Real-Time Anomaly Detection and Load Balancing.

My Driss Laanaoui, Mohamed Lachgar, Mohamed Hanine, Hamid Hrimech, Santos Gracia Villar, Imran Ashraf

IEEE Access, 2024

2023

AIDSII: An AI-based digital system for intelligent irrigation.

El Mehdi Raouhi, Mohamed Zouizza, Mohamed Lachgar, Younes Zouani, Hamid Hrimech, Ali Kartit

Softw. Impacts, September, 2023

DLDiagnosis: A mobile and web application for diseases classification using Deep Learning.

Mustapha Aatila, Abdellah Kadem, Mohamed Lachgar, Khalid Lamhaddab, Hamid Hrimech, Ali Kartit

SoftwareX, July, 2023

Evaluating FFT-Based Convolutions on Skin Diseases Dataset.

Amina Aboulmira, Hamid Hrimech, Mohamed Lachgar

Proceedings of the 3rd International Conference on Artificial Intelligence and Computer Vision, 2023

2022

Transfer Learning in Keratoconus Classification.

Mustapha Aatila, Mohamed Lachgar, Hamid Hrimech, Ali Kartit

Int. J. Online Biomed. Eng., December, 2022

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

Amina Aboulmira, Hamid Hrimech, Mohamed Lachgar

Int. J. Online Biomed. Eng., August, 2022

Decision Framework for Cross-Platform Mobile Development Frameworks Using an Integrated Multi-Criteria Decision-Making Methodology.

Mohamed Lachgar, Mohamed Hanine, Hanane Benouda, Younes Ommane

Int. J. Mob. Comput. Multim. Commun., 2022

Impact of regularization on the effectiveness of transfer learning for olive disease classification.

El Mehdi Raouhi, Mohamed Lachgar, Hamid Hrimech, Ali Kartit

Proceedings of the 11th International Symposium on Signal, Image, Video and Communications, 2022

Predicting smart grid stability using machine learning algorithms.

Hachefi Fatima Ezzahra, Mustapha Aatila, Mohamed Lachgar, Abdelmounaïm Abdali

Proceedings of the 11th International Symposium on Signal, Image, Video and Communications, 2022

Ensemble learning methods for deep learning: Application to skin lesions classification.

Amina Aboulmira, El Mehdi Raouhi, Hamid Hrimech, Mohamed Lachgar

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.

Mohamed Hanine, Mohamed Lachgar, Sara Elmahfoudi, Omar Boutkhoum

Int. J. Online Biomed. Eng., 2021

2020

An Overview of Gradient Descent Algorithm Optimization in Machine Learning: Application in the Ophthalmology Field.

Mustapha Aatila, Mohamed Lachgar, Ali Kartit

Proceedings of the Smart Applications and Data Analysis - Third International Conference, 2020

2019

Porting Mobile Apps from iOS to Android: A Practical Experience.

Khalid Lamhaddab, Mohamed Lachgar, Khalid Elbaamrani

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).

Mohamed Lachgar

PhD thesis, 2017

Modeling and generating native code for cross-platform mobile applications using DSL.

Mohamed Lachgar, Abdelmounaïm Abdali

Intell. Autom. Soft Comput., 2017

2014

Generating Android graphical user interfaces using an MDA approach.

Mohamed Lachgar, Abdelmounaïm Abdali

Proceedings of the Third IEEE International Colloquium in Information Science and Technology, 2014