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ORCIDMohamed Lachgar
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2020 – today
- 2025
[j15]Abdelghani Saoud, Mohamed Lachgar, Mohamed Hanine, Roa El Dhimni, Kawtar El Azizi, Hajar Machmoum:
decideXpert: Collaborative system using AHP-TOPSIS and fuzzy techniques for multicriteria group decision-making. SoftwareX 29: 102026 (2025)- 2024
- [j14]My Driss Laanaoui, Mohamed Lachgar
, Mohamed Hanine, Hamid Hrimech, Santos Gracia Villar, Imran Ashraf:
Enhancing Urban Traffic Management Through Real-Time Anomaly Detection and Load Balancing. IEEE Access 12: 63683-63700 (2024) - [j13]Chafik Baidada, Mustapha Aatila, Mohamed Lachgar, Hamid Hrimech, Younes Ommane, Abderrahim Houlali:
Flexible Ureteroscopy Lithotripsy Operative Time Prediction Model for the Treatment of Kidney Stones. Int. J. Online Biomed. Eng. 20(5): 101-119 (2024) - [j12]Oumaima Derouech, Hamid Hrimech, Mohamed Lachgar, Mohamed Hanine:
A Literature Review of Collaborative Virtual Environments: Impacts, Design Principles, and Challenges. J. Inf. Technol. Educ. Res. 23: 11 (2024) - [j11]Zineb Kamal Idrissi, Mohamed Lachgar, Hamid Hrimech, Meryem Yousfi, Ghita Layoune, Hanae Hanim:
BlockSupply: Blockchain-based logistics traceability solution. Softw. Impacts 21: 100666 (2024) - [j10]My Driss Laanaoui, Mustapha Aatila, Mohamed Lachgar, Hamid Hrimech, Okacha Najia, Assouma Roukéya, Abou Elkhir Mohamed:
Version [1.1.0]- [DLDiagnosis: A mobile and web application for diseases classification using Deep Learning]. SoftwareX 26: 101745 (2024) - [j9]Lahoussaine Ait Ounejjar, Mohamed Lachgar, Oussama Ouhayou, My Driss Laanaoui, Elhadi Refki, Reda Makaoui, Abdelghani Saoud:
SmartBlendEd: Enhancing blended learning through AI-optimized scheduling and user-centric design. SoftwareX 27: 101891 (2024) - 2023
- [j8]El Mehdi Raouhi, Mohamed Zouizza, Mohamed Lachgar, Younes Zouani, Hamid Hrimech, Ali Kartit:
AIDSII: An AI-based digital system for intelligent irrigation. Softw. Impacts 17: 100574 (2023) - [j7]Mustapha Aatila, Abdellah Kadem, Mohamed Lachgar, Khalid Lamhaddab, Hamid Hrimech, Ali Kartit:
DLDiagnosis: A mobile and web application for diseases classification using Deep Learning. SoftwareX 23: 101488 (2023) - [c6]Amina Aboulmira, Hamid Hrimech, Mohamed Lachgar:
Evaluating FFT-Based Convolutions on Skin Diseases Dataset. AICV 2023: 416-425 - 2022
- [j6]Mohamed Lachgar, Mohamed Hanine, Hanane Benouda, Younes Ommane:
Decision Framework for Cross-Platform Mobile Development Frameworks Using an Integrated Multi-Criteria Decision-Making Methodology. Int. J. Mob. Comput. Multim. Commun. 13(1): 1-22 (2022) - [j5]Amina Aboulmira, Hamid Hrimech, Mohamed Lachgar:
Comparative Study of Multiple CNN Models for Classification of 23 Skin Diseases. Int. J. Online Biomed. Eng. 18(11): 127-142 (2022) - [j4]Mustapha Aatila, Mohamed Lachgar, Hamid Hrimech, Ali Kartit:
Transfer Learning in Keratoconus Classification. Int. J. Online Biomed. Eng. 18(15): 43-58 (2022) - [c5]Amina Aboulmira, El Mehdi Raouhi, Hamid Hrimech, Mohamed Lachgar:
Ensemble learning methods for deep learning: Application to skin lesions classification. ISIVC 2022: 1-6 - [c4]Hachefi Fatima Ezzahra, Mustapha Aatila, Mohamed Lachgar, Abdelmounaïm Abdali:
Predicting smart grid stability using machine learning algorithms. ISIVC 2022: 1-6 - [c3]El Mehdi Raouhi, Mohamed Lachgar, Hamid Hrimech, Ali Kartit:
Impact of regularization on the effectiveness of transfer learning for olive disease classification. ISIVC 2022: 1-6 - 2021
- [j3]Mohamed Hanine, Mohamed Lachgar, Sara Elmahfoudi, Omar Boutkhoum:
MDA Approach for Designing and Developing Data Warehouses: A Systematic Review & Proposal. Int. J. Online Biomed. Eng. 17(10): 99 (2021) - 2020
- [c2]Mustapha Aatila, Mohamed Lachgar, Ali Kartit:
An Overview of Gradient Descent Algorithm Optimization in Machine Learning: Application in the Ophthalmology Field. SADASC 2020: 349-359
2010 – 2019
- 2019
- [j2]Khalid Lamhaddab, Mohamed Lachgar, Khalid Elbaamrani:
Porting Mobile Apps from iOS to Android: A Practical Experience. Mob. Inf. Syst. 2019: 4324871:1-4324871:29 (2019) - 2017
- [b1]Mohamed Lachgar:
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). Cadi Ayyad University, Marrakesh, Morocco, 2017 - [j1]Mohamed Lachgar, Abdelmounaïm Abdali:
Modeling and generating native code for cross-platform mobile applications using DSL. Intell. Autom. Soft Comput. 23(3): 445-458 (2017) - 2014
- [c1]Mohamed Lachgar, Abdelmounaïm Abdali:
Generating Android graphical user interfaces using an MDA approach. CIST 2014: 80-85
Coauthor Index
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