Clustering approach in maintenance of capillary railway network. - Danijela Doric; Abdessamad Ait El Cadi; Saïd Hanafi; Nenad Mladenovic; Abdelhakim Artiba (Electron. Notes Discret. Math., 2017)

New MIP model for multiprocessor scheduling problem with communication delays. - Abdessamad Ait El Cadi; Rabie Ben Atitallah; Saïd Hanafi; Nenad Mladenovic; Abdelhakim Artiba (Optim. Lett., 2017)

A Variable Neighborhood Descent Heuristic for the Multi-quay Berth Allocation and Crane Assignment Problem Under Availability Constraints. - Issam Krimi; Afaf Aloullal; Rachid Benmansour; Abdessamad Ait El Cadi; Laurent Deshayes; David Duvivier (ICVNS, 2018)

Mathematical programming models for scheduling in a CPU/FPGA architecture with heterogeneous communication delays. - Abdessamad Ait El Cadi; Omar Souissi; Rabie Ben Atitallah; Nicolas Bélanger; Abdelhakim Artiba (J. Intell. Manuf., 2018)

Dynamic Clustering of PI-Hubs Based on Forecasting Demand in Physical Internet Context. - Anirut Kantasa-Ard; Maroua Nouiri; Abdelghani Bekrar; Abdessamad Ait El Cadi; Yves Sallez (SOHOMA, 2019)

ViPar: High-Level Design Space Exploration for Parallel Video Processing Architectures. - Karim M. A. Ali; Rabie Ben Atitallah; Abdessamad Ait El Cadi; Nizar Fakhfakh; Jean-Luc Dekeyser (Int. J. Reconfigurable Comput., 2019)

Cross-layer CNN Approximations for Hardware Implementation. - Karim M. A. Ali; Ihsen Alouani; Abdessamad Ait El Cadi; Hamza Ouarnoughi; Smaïl Niar (ARC, 2020)

A 4D Augmented Flight Management System Based on Flight Planning and Trajectory Generation Merging. - Hortense Ollivier-Legeay; Abdessamad Ait El Cadi; Nicolas Bélanger; David Duvivier (TAROS, 2020)

Performance Prediction for Convolutional Neural Networks in Edge Devices. - Halima Bouzidi; Hamza Ouarnoughi; Smaïl Niar; Abdessamad Ait El Cadi (CoRR, 2020)

Modeling patient flow in the emergency department using machine learning and simulation. - Emad Alenany; Abdessamad Ait El Cadi (CoRR, 2020)

Modelling and solving the multi-quays berth allocation and crane assignment problem with availability constraints. - Issam Krimi; Raca Todosijevic; Rachid Benmansour; Mustapha Ratli; Abdessamad Ait El Cadi; Afaf Aloullal (J. Glob. Optim., 2020)

Performance prediction for convolutional neural networks on edge GPUs. - Halima Bouzidi; Hamza Ouarnoughi; Smaïl Niar; Abdessamad Ait El Cadi (CF, 2021)

Execution Time Modeling for CNN Inference on Embedded GPUs. - Noureddine Bouhali; Hamza Ouarnoughi; Smaïl Niar; Abdessamad Ait El Cadi (DroneSE/RAPIDO@HiPEAC, 2021)

Towards a continuous forecasting mechanism of parking occupancy in urban environments. - Miratul Khusna Mufida; Abdessamad Ait El Cadi; Thierry Delot; Martin Trépanier (IDEAS, 2021)

Machine learning for demand forecasting in the physical internet: a case study of agricultural products in Thailand. - Anirut Kantasa-Ard; Maroua Nouiri; Abdelghani Bekrar; Abdessamad Ait El Cadi; Yves Sallez (Int. J. Prod. Res., 2021)

Co-Optimization of DNN and Hardware Configurations on Edge GPUs. - Halima Bouzidi; Hamza Ouarnoughi; Smaïl Niar; El-Ghazali Talbi; Abdessamad Ait El Cadi (DSD, 2022)

Evolutionary-Based Co-optimization of DNN and Hardware Configurations on Edge GPU. - Halima Bouzidi; Hamza Ouarnoughi; El-Ghazali Talbi; Abdessamad Ait El Cadi; Smaïl Niar (OLA, 2022)

An efficient heuristic for a hub location routing problem. - Mustapha Ratli; Dragan Urosevic; Abdessamad Ait El Cadi; Jack Brimberg; Nenad Mladenovic; Raca Todosijevic (Optim. Lett., 2022)

Performance Modeling of Computer Vision-based CNN on Edge GPUs. - Halima Bouzidi; Hamza Ouarnoughi; Smaïl Niar; Abdessamad Ait El Cadi (ACM Trans. Embed. Comput. Syst., 2022)

Digital Twin Modeling Framework for Manual Warehouses. - A. Drissi Elbouzidi; Robert Pellerin; Abdessamad Ait El Cadi; Samir Lamouri; S. Boubaker (SMC, 2023)

Availability modelling and analysis of a two-component parallel system under stochastic dependence. - Ziyad Bahou; Issam Krimi; Abdessamad Ait El Cadi; Nizar El Hachemi (Int. J. Math. Oper. Res., 2023)

Spatiotemporal Clustering of Parking Lots at the City Level for Efficiently Sharing Occupancy Forecasting Models. - Miratul Khusna Mufida; Abdessamad Ait El Cadi; Thierry Delot; Martin Trépanier; Dorsaf Zekri (Sensors, 2023)

A hybrid genetic algorithm for stochastic job-shop scheduling problems. - Mohammed Boukedroun; David Duvivier; Abdessamad Ait El Cadi; Vincent Poirriez; Moncef Abbas (RAIRO Oper. Res., 2023)

Heterogeneous vibration data preprocessing method for fault detection. - Donatien Claeyssens; Dorsaf Zekri; Thierry Delot; Abdessamad Ait El Cadi (ISM, 2024)

Machine learning and deep learning applications in the automotive manufacturing industry: A systematic literature review and industry insights. - Soufiane Douimia; Abdelghani Bekrar; Abdessamad Ait El Cadi; Yassin El Hillali; David Fillon (Robotics Comput. Integr. Manuf., 2025)