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Informations du chercheur

Nom complet

AL MOATASSIME HASSAN

Grade

PES

Spécialité

Mathématiques Appliquéés

Thématique de recherche

Equations aux dérivées partielles

Laboratoire

Laboratoire de Mathématiques Appliquées et Informatique

Établissement

Non spécifié

Projets (0 au total)

Aucun projet disponible.

Publications (23 au total)

Numerical study of the one-dimensional damped and forced Dirac nonlinear Schrödinger equation with artificial boundary conditions

Auteur: Abderrazak Chrifi1, Mostafa Abounouh1, Hassan Al Moatassime1

Revue: Discrete and Continuous Dynamical Systems - Series S

Année: 2023

DOI: 10.3934/dcdss.2023183

Galerkin method of weakly damped cubic nonlinear Schrödinger with Dirac impurity, and artificial boundary condition in a half-line

Auteur: Abderrazak Chrifi, Mostafa Abounouh, Hassan Al Moatassime

Revue: Discrete & Continuous Dynamical Systems - S

Année: 2022

DOI: 10.3934/dcdss.2021030

Non-standard boundary conditions for the linearized Korteweg-de Vries equation

Auteur: Mostafa Abounouh, Hassan Al-Moatassime, Sabah Kaouri

Revue: Discrete & Continuous Dynamical Systems - S

Année: 2021

DOI: 10.3934/dcdss.2021066

Multigrid Method for a Two Dimensional Fully Nonlinear Black-Scholes Equation with a Nonlinear Volatility Function

Auteur: Aicha Driouch, Hassan Al Moatassime

Revue: Journal of Mathematical Study

Année: 2020

Novel Transparent Boundary Conditions for the Regularized Long Wave Equation

Auteur: Mostafa Abounouh, Hassan Al Moatassime, Sabah Kaouri,

Revue: International Journal of Computational Methods

Année: 2020

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

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

Revue: Transportation Research Part C: Emerging Technologies

Année: 2020

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

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

Revue: Traffic Injury Prevention

Année: 2020

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: 10.1016/j.knosys.2020.106314

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

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

Revue: Traffic Injury Prevention

Année: 2020

DOI: 10.1080/15389588.2020.1723794