Publications

• Article dans une revue

Topology optimization of curved thick shells using level set method and non-conforming multi-patch isogeometric analysis

Fernando Hübner Scherer, Malek Zarroug, Hakim Naceur, Andrei Constantinescu

We present a novel framework for topological shape optimization of curved non-conforming multi-patch and trimmed thick-shells subjected to external loads. Our method integrates the level set method (LSM) with a diffuse interface, a Hadamard shape derivative, and multi- patch isogeometric analysis (…

Computer Methods in Applied Mechanics and Engineering, 2024, 430, pp.117205. ⟨10.1016/j.cma.2024.117205⟩. ⟨hal-04758603⟩

• Communication dans un congrès

Eyes-free Circular Gestures on Smartphones

Milad Jamalzadeh, Yosra Rekik, Shahzad Iqra, Laurent Grisoni

Smartphones are used in various situations, such as when users have limited visual focus, such as when walking or driving. Eyes-free gestures offer a way to interact with smartphones without requiring visual attention. This research delves into circular eyes-free gestures and elucidates the…

MobileHCI '24 Adjunct: Adjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction, Sep 2024, Melbourne, Australia. ⟨10.1145/3640471.3680240⟩. ⟨hal-04738897⟩

• Article dans une revue

A Deep Learning Based System For a Long-term Elderly Behavioral Drift Detection

Dorsaf Zekri, Ahmed Snoun, Thierry Delot, Marie Thilliez

<div><p>The detection of behavioral drifts by applications monitoring daily living activities, is very relevant in health care monitoring systems particularly for older persons. The detection of behavioral drifts can be crucial, as it may indicate the early stages of a disease. Our…

SN Computer Science, 2024, 5 (7), pp.910. ⟨10.1007/s42979-024-03207-3⟩. ⟨hal-05351049⟩

• Communication dans un congrès

Ethical issues in the use of Generative Artificial Intelligence in performance management: Industrial case studies

Lamia Berrah, Damien Trentesaux, Frederic Guerre-Chaley

<div><p>Generative Artificial Intelligence (GAI) presents significant potential for managing Industry 4.0 companies performance, driving efficiency, reactivity and innovation and enhancing thus the performance. However, despite its advantages, the use of GAI also has several limitations…

SOHOMA 2024, Technical University of Applied Sciences. - Augsburg, Germany (Allemagne), Sep 2024, Augsburg, Germany. ⟨hal-04745414⟩

• Communication dans un congrès

An Efficient Decentralized Fine-grained Access Control for IoT Ecosystems over NDN

Ferhat Mecerhed, Youcef Imine, Antoine Gallais, Stefan Fischer, Mohamed Ahmed Hail

2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Sep 2024, Split, France. pp.1-6, ⟨10.23919/SoftCOM62040.2024.10721767⟩. ⟨hal-05031066⟩

• Pré-publication, Document de travail

Modeling Resilient Ethics, Modéliser l’éthique résiliente

Bako Rajaonah, Enrico Zio

Moral priorities may change in extreme situations such as disasters, and stakeholders may find it difficult to select the most acceptable actions. We propose a social-ecological model of resilient ethics that can provide the best acceptable guideline for action under the most appropriate ethical…, Les priorités morales peuvent changer dans des situations extrêmes telles que les catastrophes, et les décideurs peuvent avoir des difficultés à déterminer les actions les plus acceptables. Nous proposons un modèle social-écologique d'éthique résiliente qui peut aider à sélectionner la…

2024. ⟨hal-04703643⟩

• Communication dans un congrès

Gray Wolf Optimization Algorithm for Fuzzy Logic Driver Behavior Model

Daniel Dcl Cisneros Lombera, Hossam Eddine Glida, Chouki Sentouh, Boussaad Soualmi, Jean-Christophe Popieul

In this study, we propose a fuzzy decision system for human involvement in a driver-vehicle-environment system, capturing takeover scenarios by different drivers. The driver’s behavior is influenced by environmental factors. Expert opinions, gathered through questionnaires, contribute to defining…

Driving Simulation Conference (DSC), Sep 2024, Strasbourg, France. ⟨hal-04731558⟩

• Communication dans un congrès

Accelerated NAS via pretrained ensembles and multi-fidelity Bayesian Optimization

Houssem Ouertatani, Cristian Maxim, Smail Niar, El-Ghazali Talbi

Bayesian optimization (BO) is a black-box search method particularly valued for its sample efficiency. It is especially effective when evaluations are very costly, such as in hyperparameter optimization or Neural Architecture Search (NAS). In this work, we design a fast NAS method based on BO.…

33rd International Conference on Artificial Neural Networks (ICANN), Sep 2024, Lugano, Switzerland. ⟨10.1007/978-3-031-72332-2_17⟩. ⟨hal-04611343⟩

• Article dans une revue

Fixed-Time Fault-Tolerant Adaptive Neural Network Control for a Twin-Rotor UAV System with Sensor Faults and Disturbances

Aymene Bacha, Abdelghani Chelihi, Hossam Eddine Glida, Chouki Sentouh

This paper presents a fixed-time fault-tolerant adaptive neural network control scheme for the Twin-Rotor Multi-Input Multi-Output System (TRMS), which is challenging due to its complex, unstable dynamics and helicopter-like behavior with two degrees of freedom (DOFs). The control objective is to…

Drones, 2024, 8 (9), pp.467. ⟨10.3390/drones8090467⟩. ⟨hal-05074853⟩

• Article dans une revue

Advancing sustainable construction: Terracotta component development through extrusion-based 3d printing with local clay

Mohamed El Aabbas, Mustapha Mahdaoui, Mohammed Ahachad, Brahim Mazian, Issam Aalil, Mustapha Ouardouz

This study examines the use of 3D printing technology in construction, specifically the use of local clay as the primary material for developing Terracotta components. The results demonstrate the feasibility and high print quality achievable with clay, establishing it as a viable material for 3D…

Construction and Building Materials, 2024, 442, pp.137549. ⟨10.1016/j.conbuildmat.2024.137549⟩. ⟨hal-05380035⟩