Emmanuel Adam, Thomas Guyet, Benoit Le Blanc, Dominique Longin, Zied Bouraoui, Sandra Bringay, Romaric Gaudel, Charlotte Laclau, Christelle Launois, Maxime Morge, Catherine Roussey, François Schwarzentruber, Cassia Trojahn, Élise Vareilles, Anaelle Wilczynski

Cet ouvrage présente les activités de l'AFIA du 1er août 2021 au 31 juillet 2023, ainsi qu'une sélection d'article issus de la Plate-Forme Intelligence Artificielle de l'année (PFIA 2023).

Association Française pour l'Intelligence Artificielle, 2023. ⟨hal-04310171v2⟩

Article dans une revue

Channel-Level Event-Triggered Communication Scheme for Path Tracking Control of Autonomous Ground Vehicles With Distributed Sensors

Liqin Zhang, Manjiang Hu, Hui Zhang, Yougang Bian, Tran Anh-Tu Nguyen, Rongjun Ding

In this article, a channel-level event-triggered communication scheme is investigated for path tracking control of autonomous ground vehicles via an in-vehicle network to ensure path tracking performance while reducing network resource utilization. First, a path tracking system is established…

IEEE Transactions on Vehicular Technology, 2023, 72 (10), pp.12553-12566. ⟨10.1109/TVT.2023.3274111⟩. ⟨hal-04278817⟩

Article dans une revue

A model reconstruction approach for control synthesis of Takagi-Sugeno fuzzy systems

Hua Zheng, Wen-Bo Xie, Tran Anh-Tu Nguyen, Dong Qu

This paper investigates the control synthesis for Takagi-Sugeno (TS) fuzzy systems via a model reconstruction approach. Firstly, based on a nonparallel distributed compensation (NPDC) control scheme and a fuzzy Lyapunov function candidate (FLF), LMI-based synthesis conditions are derived to…

Fuzzy Sets and Systems, 2023, 469, pp.108640. ⟨10.1016/j.fss.2023.108640⟩. ⟨hal-04278800⟩

Article dans une revue

Impact of physical activity, physical fitness and exercises on cognitive impairment in patients with multiple sclerosis: A review of evidence and underlying mechanisms

B. Lenne, Cécile Donze, Caroline Massot, Béatrice Degraeve

Cognitive impairment in persons with MS (pwMS) occurs commonly, early and indepen- dently of other clinical features of the disease. MS-related cognitive impairment is mainly characterized by weakening of information processing speed, working memory and episo- dic memory. Much evidence, based on…

Revue Neurologique, In press, ⟨10.1016/j.neurol.2023.06.003⟩. ⟨hal-04235388⟩

Article dans une revue

Heating rate and ZSM-5 catalyst effects on date palm (Phœnix dactylifera L.) stones pyrolysis: Thermogravimetric analysis, production and characterization of syngases and bio-oils

Ilham Soltani, Emna Berrich, Mehrez Romdhane, Fethi Aloui

In the present investigation, Date palm stones (DPS) were pyrolyzed under Nitrogen atmosphere in a laboratory scale fixed-bed reactor. Pyrolysis experiments were carried out at different heating rates (5 and 10 °C/min), both in absence and presence of ZSM-5 catalyst (20 wt%). The effects of heating…

Journal of the Energy Institute, 2023, 110, pp.101295. ⟨10.1016/j.joei.2023.101295⟩. ⟨hal-04163827⟩

Article dans une revue

Biomechanical modeling for the estimation of muscle forces: toward a common language in biomechanics, medical engineering, and neurosciences

Emilie Mathieu, Sylvain Crémoux, David Duvivier, David Amarantini, Philippe Pudlo

Abstract Different research fields, such as biomechanics, medical engineering or neurosciences take part in the development of biomechanical models allowing for the estimation of individual muscle forces involved in motor action. The heterogeneity of the terminology used to describe these models…

Journal of NeuroEngineering and Rehabilitation, 2023, 20 (1), pp.130. ⟨10.1186/s12984-023-01253-1⟩. ⟨hal-04364546⟩

Thèse

Deep learning for continuous parking occupancy forecasting in urban environments, Apprentissage profond pour la prévision continue de l’occupation du parking en milieu urbain

Miratul Khusna Mufida

Deep learning has been widely adopted in various fields for its ability to extract complex features from large amounts of data. In this thesis, we propose a deep learning-based approach for continuous parking occupancy prediction. We therefore collected a large dataset of parking occupancy data (…, L'apprentissage profond a été largement adopté dans divers domaines en raison de sa capacité à extraire des caractéristiques complexes à partir de grandes quantités de données. Dans cette thèse, nous proposons une approche basée sur l'apprentissage profond pour la prédiction continue de l…

Artificial Intelligence [cs.AI]. Université Polytechnique Hauts-de-France; Institut national des sciences appliquées Hauts-de-France, 2023. English. ⟨NNT : 2023UPHF0024⟩. ⟨tel-04585479⟩