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Informations du chercheur

Nom complet

Elamrani Abou Elassad Zouhair

Grade

PH

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.

Publications (17 au total)

The application of machine learning techniques for smart irrigation systems: A systematic literature review

Auteur: Abiadi Younes, Zouhair Elamrani Abou Elassad, Othmane El Meslouhi, Dauha Elamrani Abou Elassad, Ed-dahbi Abdel Majid

Revue: Smart Agricultural Technology

Année: 2024

DOI: 10.1016/j.atech.2024.100425

An advanced accident avoidance system based on imbalance-control ensemble and deep learning fusion design

Auteur: Dauha Elamrani Abou Elassad, Zouhair Elamrani Abou Elassad, Abdel Majid Ed-dahbi, Othmane El Meslouhi, Mustapha Kardouchi, Moulay Akhloufi

Revue: Journal of Intelligent & Fuzzy Systems

Année: 2024

DOI: 10.3233/JIFS-232446

Imbalance-learning road crash assessment under reduced visibility settings: A proactive multicriteria decision-making system

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

Revue: Journal of Ambient Intelligence and Smart Environments

Année: 2024

DOI: 10.3233/AIS-230127

Does gender affect the identification of road crash occurrences? An Overview and a comparative study

Auteur: Soukaina EL FEROUALI, Zouhair Elamrani Abou Elassad, Abdelmounaîm ABDALI

Revue: International Journal of Computer Engineering and Data Science

Année: 2023

Class-imbalanced crash prediction based on real-time traffic and weather data: A driving simulator study

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

Revue: Traffic Injury Prevention

Année: 2020

DOI: https://doi.org/10.1080/15389588.2020.1723794

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

Communications (18 au total)

Evaluating Naive Bayes Classifiers for Traffic Crash Prediction in Rome, Italy: A Comparative Examination

Manifestation: International Conference on Artificial Intelligence and its Applications in the Age of Digital Transformation

Date: 2024-04-23

Organisation: Nouakchott, Mauritania

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