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Nihad El Ghouch
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2020 – today
- 2023
- [c7]Ghalia Mdaghri-Alaoui
, Abdelhamid Zouhair
, Nihad El Ghouch
:
Employing multi-agent systems to enhance virtual reality platforms. NISS 2023: 39:1-39:5 - [c6]Fadoua El Kebraoui
, El Mokhtar En-Naimi
, Nihad El Ghouch
:
A Comparative Study of Different Supervised Machine Learning in Predicting of Type 2 Diabetes. NISS 2023: 41:1-41:7 - 2020
- [j1]Nihad El Ghouch, El Mokhtar En-Naimi
, Mohamed Kouissi
:
Implementation of an Adaptive Learning System based on Agents and Web Services. Int. J. Emerg. Technol. Learn. 15(14): 162-178 (2020)
2010 – 2019
- 2019
- [c5]Mohamed Kouissi
, Nihad El Ghouch, El Mokhtar En-Naimi
:
New approach for modeling and developing multi-agent systems based on case based reasoning. SCA 2019: 49:1-49:8 - [c4]Nihad El Ghouch, Mohamed Kouissi
, El Mokhtar En-Naimi
:
Multi-agent adaptive learning system based on incremental hybrid case-based reasoning (IHCBR). SCA 2019: 50:1-50:6 - 2018
- [c3]Nihad El Ghouch, El Mokhtar En-Naimi
, Abdelhamid Zouhair
, Mohammed Al Achhab:
Guided Retrieve through the K-Nearest Neighbors Method in Adaptive Learning System using the Dynamic Case Based Reasoning Approach. SCA 2018: 75:1-75:6 - 2017
- [c2]Nihad El Ghouch, El Mokhtar En-Naimi
, Abdelhamid Zouhair
, Mohamed Al Achhab:
Our Architecture of an Adaptive Learning System Based on the Dynamic Case-Based Reasoning and the Learner Traces. ICCWCS 2017: 11:1-11:5 - [c1]Nihad El Ghouch, El Mokhtar En-Naimi
, Abdelhamid Zouhair
, Mohammed Al Achhab:
Using the CBR Dynamic Method to Correct the Generates Learning Path in the Adaptive Learning System. SCA 2017: 122-128
Coauthor Index
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