9 citations · 15 across the 10 of their papers we have counts for
10 papers
Learning to recover: Adaptive local branching with reinforcement learning for log-truck routing and scheduling under disruptions
Abdelhakim Abdellaoui, Issmail El Hallaoui, Loubna Benabbou +2
We consider the real-time reoptimisation of log-truck routing and scheduling in the Canadian forestry industry following unforeseen disruptions. Road closures, vehicle breakdowns,…
Real-World, Large Scale, Multi-Period Log Truck Routing and Scheduling : Application to Canadian Forestry
Abdelhakim Abdellaoui, Issmail El Hallaoui, Loubna Benabbou +2
This paper addresses the multi-period log-truck routing and scheduling problem (), a key operational activity in the forestry industry, where transportation accoun…
Learning Implicit Feasibility Constraints for Real-World Routing and Scheduling: Application to Log Transportation
Abdelhakim Abdellaoui, Ayoub Boufous, Issmail El Hallaoui +3
Real-world vehicle routing and scheduling problems involve complex operational rules and feasibility constraints typically formulated as mixed-integer linear programs (MILP). Howev…
Multi-Representation Attention Framework for Underwater Bioacoustic Denoising and Recognition
Amine Razig, Youssef Soulaymani, Loubna Benabbou +1
Automated monitoring of marine mammals in the St. Lawrence Estuary faces extreme challenges: calls span low-frequency moans to ultrasonic clicks, often overlap, and are embedded in…
Multiscale Neural PDE Surrogates for Prediction and Downscaling: Application to Ocean Currents
Abdessamad El-Kabid, Loubna Benabbou, Redouane Lguensat +1
Accurate modeling of physical systems governed by partial differential equations is a central challenge in scientific computing. In oceanography, high-resolution current data are c…
Towards a connection between the capacitated vehicle routing problem and the constrained centroid-based clustering
Abdelhakim Abdellaoui, Loubna Benabbou, Issmail El Hallaoui
Efficiently solving a vehicle routing problem (VRP) in a practical runtime is a critical challenge for delivery management companies. This paper explores both a theoretical and exp…
Rule-Extraction Methods From Feedforward Neural Networks: A Systematic Literature Review
Sara El Mekkaoui, Loubna Benabbou, Abdelaziz Berrado
Motivated by the interpretability question in ML models as a crucial element for the successful deployment of AI systems, this paper focuses on rule extraction as a means for neura…
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
Oussama Boussif, Ghait Boukachab, Dan Assouline +4
Solar power harbors immense potential in mitigating climate change by substantially reducing CO emissions. Nonetheless, the inherent variability of solar irradiance poses a s…
MAgNet: Mesh Agnostic Neural PDE Solver
Oussama Boussif, Dan Assouline, Loubna Benabbou +1
The computational complexity of classical numerical methods for solving Partial Differential Equations (PDE) scales significantly as the resolution increases. As an important examp…
Machine Learning Approaches for Traffic Volume Forecasting: A Case Study of the Moroccan Highway Network
Abderrahim Khalifa, Younes Idsouguou, Loubna Benabbou +1
In this paper, we aim to illustrate different approaches we followed while developing a forecasting tool for highway traffic in Morocco. Two main approaches were adopted: Statistic…