Publications

• Article dans une revue

Climate and Regulation Aware Spatio-Temporal Graph Neural Network for On-Street Parking Forecasting

Ayman Agoube, Abdessamad Ait El Cadi, Thierry Delot, Martin Trépanier

On-street parking occupancy is highly dynamic and influenced by multiple interacting factors such as weather conditions, local regulations, and surrounding activity. Accurate short-term forecasts are essential to support efficient curbside management and adaptive urban mobility strategies. This…

Data Science for Transportation, In press. ⟨hal-05836226⟩

• Article dans une revue

Systemic fragility in European total intravenous anesthesia delivery and opportunities for resilient real-time decision support

Clara Ionescu, Erhan Yumuk, Michele Schiavo, Antonio Visioli, Massimiliano Paltenghi, Nicola Latronico, Bob Aubouin Pairault, Mirko Fiacchini, Kaouther Moussa, Cristina Muresan, Isabela Birs, Eva Dulf, Teodora Mocan, Lucian Mocan, Robert Szabo, Dana Copot

Total intravenous anesthesia (TIVA) is a well-established technique for general anesthesia and is increasingly relevant to Europe’s transition toward more digital, sustainable, and patient-centred healthcare. However, its use remains uneven across centres and still depends heavily on population…

Communications Medicine, 2026, 6 (1), pp.425. ⟨10.1038/s43856-026-01833-x⟩. ⟨hal-05750732⟩

• Article dans une revue

Topology Reconfiguration of Multiagent Systems under Link Failures

Jonathan Estrada, Mohamed Djemai, Bernardino Castillo-Toledo, Michael Defoort

IEEE Control Systems Letters, 2026, pp.1-1. ⟨10.1109/LCSYS.2026.3742141⟩. ⟨hal-05848350⟩

• Article dans une revue

Grades of Operational and Tactical Automation in rail domain for an Artificial Intelligence Driving Assistance System

Jean-Valentin Merlevede, Simon Enjalbert, Frédéric Vanderhaegen

This work proposes new additional levels of progressive driver assistance, extending the traditional Grades Of Automation (GoA) in order to allow both dedicated Operational and Tactical assistances. The second contribution is an Artificial Intelligence Driving Assistance System (AIDAS) that aims to…

Cognition, Technology and Work, 2025, ⟨10.1007/s10111-025-00847-0⟩. ⟨hal-05394649v2⟩

• Article dans une revue

Determining Relevant 3D Roughness Parameters for Sandblasted Surfaces: A Methodological Approach

Maxence Bigerelle, Eddy Chevallier, Julie Lemesle, Raphael Deltombe, Frederic Robache, Romain Vayron, Nadiia Zubchuk, Ingrid Proriol Serre, Stephane Benayoun, Karine Anselme

This study presents a robust methodology for analyzing 3D roughness parameters to characterize sandblasted surfaces, identifying the most relevant descriptors for process optimization. Sandblasting with irregularly shaped corundum particles is performed using five grit sizes (25, 50, 90, 125, and…

Machines, 2025, Machines, 13 (12), pp.1122. ⟨10.3390/machines13121122⟩. ⟨hal-05406231⟩

• Article dans une revue

Biomechanical finite element simulation of the pelvic organs under dynamic loading and validation against experimental data from magnetic resonance imaging

Camille Lafond, Louise Hohnadel, Thomas Brunel, Nicolas Pirrò, Marc-Emmanuel Bellemare, Dominique Chamoret, Sébastien Roth

Pelvic organ prolapse (POP) is a prevalent condition affecting women, particularly those over the age of 50. The etiology and pathophysiology of this condition remain poorly understood within the medical community. In recent years, researchers, particularly medical engineers and biomechanical…

Medical Engineering & Physics, 2025, 146, pp.104433. ⟨10.1016/j.medengphy.2025.104433⟩. ⟨hal-05362410⟩

• Article dans une revue

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

In the context of the automotive manufacturing industry, complexity and the extensive data generated during production pose significant challenges. With ongoing technological advancements, effectively harnessing and analyzing this data has become increasingly critical. Machine learning (ML) and…

Robotics and Computer-Integrated Manufacturing, 2025, 96, pp.103034. ⟨10.1016/j.rcim.2025.103034⟩. ⟨hal-05101225⟩

• Article dans une revue

Optimal Model-Free Tracking Control Based on Direct Adaptive Fuzzy Controller for a Mini-Drone

Hossam Eddine Glida, Abdelghani Chelihi, Chouki Sentouh, Jagat Jyoti Rath

This paper presents a direct robust adaptive fuzzy controller designed for a mini drone. The controller is developed to address the challenge of controlling the six-coupled nonlinear subsystems of the mini-drone with unknown dynamics for position and attitude control. The proposed control approach…

IEEE Transactions on Aerospace and Electronic Systems, In press, pp.1-11. ⟨10.1109/TAES.2025.3636505⟩. ⟨hal-05389696⟩

• Article dans une revue

Modelling of the influence of measurement uncertainties on the algorithmic complexity of 3D topography stitching

Maxence Bigerelle, Robin Guibert

Observation of physical phenomena and their expression on solids is a challenge, especially considering their coupling. As a privileged place of interaction between solids and the external environment, surface should be studied. Roughness analysis often relies on optical profilometers to provide…

Surface Topography: Metrology and Properties, 2025, 13 (4), pp.045008. ⟨10.1088/2051-672X/ae198e⟩. ⟨hal-05367414⟩

• Article dans une revue

A robust nonsingular Fixed-Time Controller: Application to Robot Manipulators

Marco Arteaga, Emmanuel Moulay, Michael Defoort

Sliding Mode Control (SMC) techniques allow accurate position tracking, where fixed-time stability has become an area of great interest. A kind of systems which has represented a control challenge for the last decades are robot manipulators due to their highly nonlinear dynamics and the presence of…

Journal of The Franklin Institute, 2025, 362 (18), pp.108216. ⟨10.1016/j.jfranklin.2025.108216⟩. ⟨hal-05380137⟩