Activity pattern mining using temporal relationships in a smart home. - Mohamed Tarik Moutacalli; V. Marmen; Abdenour Bouzouane; Bruno Bouchard 001 (CICARE, 2013)

New frequent pattern mining algorithm tested for activities models creation. - Mohamed Tarik Moutacalli; Abdenour Bouzouane; Bruno Bouchard 001 (CICARE, 2014)

Sensors activation time predictions in smart home. - Mohamed Tarik Moutacalli; Abdenour Bouzouane; Bruno Bouchard 001 (PETRA, 2015)

The behavioral profiling based on times series forecasting for smart homes assistance. - Mohamed Tarik Moutacalli; Abdenour Bouzouane; Bruno Bouchard 001 (J. Ambient Intell. Humaniz. Comput., 2015)

A comparative study to deep learning for pattern recognition, by using online and batch learning; taking cybersecurity as a case. - Choukri Djellali; Mehdi Adda; Mohamed Tarik Moutacalli (ASONAM, 2019)

A Data-Driven Deep Learning Model to Pattern Recognition for Medical Diagnosis, by using Model Aggregation and Model Selection. - Choukri Djellali; Mehdi Adda; Mohamed Tarik Moutacalli (EUSPN/ICTH, 2020)

Exoskeleton for Hemiplegic Patients: Mechatronic Approach to Move One Disabled Lower Limb with Posture Recognition Neural Network for More Safety. - Hamza Alaoui; Mohamed Tarik Moutacalli; Ahmed Chebak (ICCMA, 2020)

AI-Enabled High-Level Layer for Posture Recognition Using The Azure Kinect in Unity3D. - Hamza Alaoui; Mohamed Tarik Moutacalli; Mehdi Adda (IPAS, 2020)

A Comparative Study on Fuzzy Clustering for Cloud Computing. Taking Web Service as a case. - Choukri Djellali; Mehdi Adda; Mohamed Tarik Moutacalli (ANT/EDI40, 2021)

An Enhanced Fuzzy Clustering to Pattern Recognition for Cloud Computing, by using Model Aggregation and Model Selection. - Choukri Djellali; Mehdi Adda; Mohamed Tarik Moutacalli (J. Ubiquitous Syst. Pervasive Networks, 2022)