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Informations du chercheur

Nom complet

AMEKSA Mohammed

Grade

PA

Spécialité

Intelligence artificielle et aide à la décision

Thématique de recherche

Sécurité routière, santé

Laboratoire

Laboratoire d’Ingénierie des Systèmes Informatiques

Établissement

Faculté des Sciences Semlalia Marrakech

Ouvrages (0 au total)

Aucun ouvrage disponible.

Projets (0 au total)

Aucun projet disponible.

Publications (11 au total)

Optimizing Smart Home Energy Forecasting: Unveiling Superiority among RBFNN, ESN, and LSTM

Auteur: Mouad BHIH, Zouhair Elamrani Abou Elassad, Mohammed AMEKSA, Abdelhakim El Boustani, Othmane EL Meslouhi, Dauha Elamrani Abou Elassad

Revue: 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)

Année: 2024

DOI: 10.1109/iraset60544.2024.10548233

An Efficient Driver Monitoring: Road Crash and Driver Behavior Analysis

Auteur: Mohammed Ameksa, Zouhair Elamrani Abou Elassad, Hajar Mousannif

Revue: Lecture Notes in Networks and Systems

Année: 2024

DOI: 10.1007/978-3-031-48573-2_84

Deep Learning Prediction of Vehicle Lane Departure During Night-Times: A Synthetic Over-Sampling Framework with Enhanced Dimensionality Reduction

Auteur: Dauha Elamrani Abou Elassad, Zouhair Elamrani Abou Elassad, Othmane El Meslouhi, Mohammed Ameksa, Mustapha Kardouchi, Moulay Akhloufi

Revue: Lecture Notes in Networks and Systems

Année: 2024

DOI: 10.1007/978-3-031-70411-6_45

Predicting stroke events with a proactive fusion system: a comprehensive study on imbalance class handling in computational biomechanics

Auteur: Mohammed Ameksa, Zouhair Elamrani Abou Elassad, Saad Lamjadli, Hajar Mousannif

Revue: Computer Methods in Biomechanics and Biomedical Engineering

Année: 2024

DOI: 10.1080/10255842.2024.2363946

Application of machine learning techniques for driving errors analysis: systematic literature review

Auteur: Mohammed Ameksa, Hajar Mousannif, Hassan Al Moatassime, Zouhair Elamrani Abou Elassad

Revue: International Journal of Crashworthiness

Année: 2024

DOI: 10.1080/13588265.2023.2301146

Machine Learning Prediction of Weather-Induced Road Crash Events for Experienced and Novice Drivers: Insights from a Driving Simulator Study

Auteur: Zouhair Elamrani Abou Elassad, Mohamed Ameksa, Dauha Elamrani Abou Elassad, Hajar Mousannif

Revue: Lecture Notes in Business Information Processing

Année: 2023

DOI: 10.1007/978-3-031-37872-0_5

A non-intrusive multivariate analysis for monitoring inattentive driving based on physiological signals, driver inputs and visual features: A hybrid deep learning approach

Auteur: Dauha Elamrani Abou Elassad, Zouhair Elamrani Abou Elassad, Othmane El Meslouhi, Mohamed Ameksa, Hajar Mousannif, El Houssine El Mazoudi

Revue: 2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)

Année: 2023

DOI: 10.1109/wincom59760.2023.10322965

Efficient Fusion Decision System for Predicting Road Crash Events: A Comparative Simulator Study for Imbalance Class Handling

Auteur: Zouhair Elamrani Abou Elassad, Mohammed Ameksa, Dauha Elamrani Abou Elassad, Hajar Mousannif

Revue: Transportation Research Record: Journal of the Transportation Research Board

Année: 2023

DOI: 10.1177/03611981231192985

Crash Prediction using Ensemble Methods

Auteur: Mohammed Ameksa, Hajar Mousannif, Hassan Al Moatassime, Zouhair Elamrani Abou Elassad

Revue: Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning

Année: 2021

DOI: 10.5220/0010731200003101

Communications (0 au total)

Aucune communication disponible.

Thèses (0 au total)

Aucune thèse disponible.