Publications

• Communication dans un congrès

A Hyper-heuristic for Dynamic Scheduling of Cyber-Physical Production Systems Using Incremental Learning

Wassim Bouazza, Yves Sallez, Olivier Cardin

Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2023, 2023, Annecy, France. pp.200-211, ⟨10.1007/978-3-031-53445-4_17⟩. ⟨hal-04530495⟩

• Communication dans un congrès

Exploring Human-Machine Relations and Approaches for Task Management in Dynamic Environments: A Comprehensive Literature Review

Salma Nissoul, Marie-Pierre Pacaux-Lemoine, Sondes Chaabane

<div><p>The transition to Industry 5.0 highlights the necessity for practical cooperation between humans and machines in challenging situations [22], driven by advanced technology, increased production demands, and decentralized control mechanisms while prioritizing human involvement…

Sohoma 2023, Sep 2023, Annecy, France. pp.263-273, ⟨10.1007/978-3-031-53445-4_22⟩. ⟨hal-05324245⟩

• Article dans une revue

Guest Editorial of the Special section on Customers Centric Communication and Networked Control for Intelligent Cyber-Physical Transportation Systems

Chinmay Chakraborty, Anh-Tu Nguyen, Chao Huang, Houbing Herbert Song

IEEE Transactions on Consumer Electronics, 2024, 70 (1), pp.1702-1705. ⟨10.1109/TCE.2024.3368615⟩. ⟨hal-04565305⟩

• Article dans une revue

An efficient local moving thermal-fluid framework for accelerating heat and mass transfer simulation during welding and additive manufacturing processes

Yabo Jia, Yassine Saadlaoui, Eric Feulvarch, Jean-Michel Bergheau

Numerical prediction of melt pool morphology and temperature distribution of thermomechanical processes (welding, additive manufacturing) plays an important role in understanding the relationships between process parameters and the quality of manufactured parts. The heat conduction models are…

Computer Methods in Applied Mechanics and Engineering, 2024, 419, pp.116673. ⟨10.1016/j.cma.2023.116673⟩. ⟨hal-04800567⟩

• Article dans une revue

Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach

Haohan Yang, Haochen Liu, Zhongxu Hu, Anh-Tu Nguyen, Thierry-Marie Guerra, Chen Lv

IEEE Transactions on Intelligent Transportation Systems, 2024, 25 (2), pp.2034-2045. ⟨10.1109/TITS.2023.3316203⟩. ⟨hal-05481619⟩

• Article dans une revue

Time-delay estimation in biomechanical stability: a scoping review

Seyed Mohammadreza Shokouhyan, Mathias Blandeau, Laura Wallard, Franck Barbier, Kinda Khalaf

Frontiers in Human Neuroscience, 2024, ⟨10.3389/fnhum.2024.1329269⟩. ⟨hal-04429608⟩

• Article dans une revue

Industry 5.0 use cases development framework

Alexandre Goujon, Frédéric Rosin, Florian Magnani, Samir Lamouri, Robert Pellerin, Laurent Joblot

Industry 5.0 use cases development framework The emergence of the Industry 5.0 concept has placed human needs at the heart of industrial processes. This raises the question of how new technologies can enhance employee decision-making processes and influence the evolution of team autonomy. Recent…

International Journal of Production Research, 2024, pp.1-26. ⟨10.1080/00207543.2024.2307505⟩. ⟨hal-04434264⟩

• Thèse

Efficient Deployment of Deep Neural Networks on Hardware Devices for Edge AI, Déploiement efficace des réseaux de neurones profonds sur les dispositifs matériels pour l’IA en Edge

Halima Bouzidi

Neural Networks (NN) have become a leading force in today's digital landscape. Inspired by the human brain, their intricate design allows them to recognize patterns, make informed decisions, and even predict forthcoming scenarios with impressive accuracy. NN are widely deployed in Internet of…, Les réseaux de neurones (RN) sont devenus une force dominante dans le monde de la technologie. Inspirés par le cerveau humain, leur conception complexe leur permet d’apprendre des motifs, de prendre des décisions et même de prévoir des scénarios futurs avec une précision impressionnante. Les RN…

Artificial Intelligence [cs.AI]. Université Polytechnique Hauts-de-France, 2024. English. ⟨NNT : 2024UPHF0006⟩. ⟨tel-04574676⟩

• Communication dans un congrès

Shear wave elastography with single-shot off-axis FF-OCT (SO-FF-OCT) approach

Emmanuel Martins Seromenho, Nina Dufour, Maud Legrand, Jesse Schiffler, Sybille Facca, Nadia Bahlouli, Amir Nahas

Optical Elastography and Tissue Biomechanics XI, Jan 2024, San Francisco, France. pp.33, ⟨10.1117/12.3002947⟩. ⟨hal-04872618⟩

• Thèse

Synthèse d’observateurs continus-discrets pour les systèmes non linéaires : Application au Train Autonome, Continuous-discrete observers synthesis for nonlinear systems : Application to the Autonomous Train

Fawzia Bouchama

Ce travail de thèse contribue au projet collaboratif "Train de Fret Autonome'' porté par la SNCF et a pour but d’automatiser la conduite du train de Fret afin de garantir une conduite autonome fiable et sécurisée dans toutes conditions environnementales. Dans ce contexte, nos…, This thesis contributes to the collaborative project "Train de Fret Autonome'' led by the SNCF and aims to control autonomous freight trains in order to guarantee reliable and safe autonomous driving in all environmental conditions. In this context, our contributions concern the…

Automatique / Robotique. Université Polytechnique Hauts-de-France, 2024. Français. ⟨NNT : 2024UPHF0005⟩. ⟨tel-04591306⟩