Elamrani Abou Elassad Zouhair - Profil du chercheur

Informations du chercheur

Nom complet

Elamrani Abou Elassad Zouhair

Grade

Spécialité

Informatique

Thématique de recherche

Artificial Intelligence

Laboratoire

Laboratoire d’Informatique et de Systèmes Intelligents

Établissement

Ecole Nationale des Sciences Appliquées Safi

Ouvrages (0 au total)

Aucun ouvrage disponible.

Projets (3 au total)

SmartWater: Intégrant IA et IoT pour une Gestion Intelligente des Ressources en Eau.

Type: Non spécifié

Début: 25/07/2025

Fin: 24/07/2028

Organisme financeur:

Jeunes chercheurs UCA

Deep learning for designing molecules with optimized properties for treating cancer

Type: Non spécifié

Début: 25/07/2025

Fin: 24/07/2028

Organisme financeur:

Jeunes chercheurs UCA

Quantum-Driven Intelligent Driver Monitoring and Crash Prediction System (QuDrive): Pre-, Active-, and Post-evet Strategies

Type: Non spécifié

Début: 25/07/2025

Fin: 24/07/2028

Organisme financeur:

Jeunes chercheurs UCA

Publications (12 au total)

The application of machine learning techniques for driving behavior analysis : A conceptual framework and a systematic literature review ✩

Auteur: Zouhair Elamrani Abou Elassad, Hajar Mousannif, HassanAl Moatassime

Revue: Engineering Applications of Artificial Intelligence

Année: 2020

DOI: https://doi.org/10.1016/j.engappai.2019.103312

A real-time crash prediction fusion framework: An imbalance-aware strategy for collision avoidance systems

Auteur: Zouhair Elamrani Abou Elassad, Hajar Mousannif, HassanAl Moatassime

Revue: Transportation Research Part C: Emerging Technologies

Année: 2020

DOI: https://doi.org/10.1016/j.trc.2020.102708

A proactive decision support system for predicting traffic crash events: A critical analysis of imbalanced class distribution

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

Revue: Knowledge-Based Systems

Année: 2020

DOI: https://doi.org/10.1016/j.knosys.2020.106314

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Communications (17 au total)

Understanding the factors contributing to traffic accidents: survey and taxonomy

Manifestation: The International Conference on Artificial Intelligence and Smart Environment

Date: 2023-11-23

Organisation: Errachidia, Morocco

An Efficient Driver Monitoring: Road Crash and Driver Behavior Analysis

Manifestation: The International Conference on Artificial Intelligence and Smart Environment

Date: 2023-11-23

Organisation: Errachidia, Morocco

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

Manifestation: 10th international conference on wireless networks and mobile communications (wincom)

Date: 2023-10-26

Organisation: Istanbul, Turkiye

Machine learning prediction of weather-induced road crash events for experienced and novice drivers: insights from a driving simulator study

Manifestation: International Conference on Business Intelligence

Date: 2023-07-19

Organisation: Istanbul, Türkiye

Crash prediction using ensemble methods

Manifestation: The 2nd International Conference on Big Data, Modelling and Machine Learning

Date: 2021-06-05

Organisation: Kenitra, Morocco

Towards Analyzing Crash Events for Novice Drivers under Reduced-Visibility Settings: A Simulator Study

Manifestation: Proceedings of the 3rd International Conference on Networking, Information Systems & Security

Date: 2020

Organisation: Marrakech

Toward flexible data collection of driving behaviour

Manifestation: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Date: 2020

Organisation: Turkey

Understanding Driving Behavior: Measurement, Modeling and Analysis

Manifestation: International Conference on Advanced Intelligent Systems for Sustainable Development

Date: 2019

Organisation: Tanger

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Thèses (1 au total)

Real-time Road Crash Prediction Through AI-based Driving Behavior Analysis

Auteur: Zouhair Elamrani Abou Elassad

Directeur: Hajar Mousannif

Soutenance: 2021