Publications

• Thèse

Efficient Hardware-aware Neural Architecture Search for Edge Computing, Optimisation Automatique des Applications d'Apprentissage Profond sur Plateformes Matérielles Edges

Hadjer Benmeziane

It is widely anticipated that inference models based on Deep Neural Networks (DNN) will be actively employed in many edge platforms due to several compelling reasons. Firstly, DNNs have demonstrated exceptional performance in various complex tasks such as image recognition, natural language…, Les modèles d'inférence basés sur les réseaux neuronaux profonds (eng, Deep Neural Networks (DNN)) sont largement utilisés dans de nombreuses platesformes de périphérie pour plusieurs raisons. Premièrement, les DNN ont démontré des performances exceptionnelles dans diverses tâches complexes…

Machine Learning [cs.LG]. Université Polytechnique Hauts-de-France, 2023. English. ⟨NNT : 2023UPHF0022⟩. ⟨tel-04224035⟩

• Ouvrages

Handbook of Thermal Management Systems

Fethi Aloui, Edwin Geo Varuvel, Ankit Sonthalia

Handbook of Thermal Management Systems: e-Mobility and Other Energy Applications is a comprehensive reference on the thermal management of key renewable energy sources and other electronic components. With an emphasis on practical applications, the book addresses thermal management systems of…

Handbook of Thermal Management Systems: e-Mobility and Other Energy Applications. Elsevier, 2023, 9780443190179. ⟨hal-04132772⟩

• Article dans une revue

A redesign methodology generating predefined‐time differentiators with bounded time‐varying gains

Rodrigo Aldana-López, Richard Seeber, David Gómez-Gutiérrez, Marco Tulio Angulo, Michael Defoort

Abstract There is an increasing interest in designing differentiators, which converge exactly before a prespecified time regardless of the initial conditions, that is, which are fixed‐time convergent with a predefined upper bound of their settling time (UBST), due to their ability to solve…

International Journal of Robust and Nonlinear Control, 2023, 33 (15), pp.9050-9065. ⟨10.1002/rnc.6315⟩. ⟨hal-04217715⟩

• Article dans une revue

Fuzzy multi-objective truck scheduling in multi-modal rail–road Physical Internet hubs

Fatma Essghaier, Tarik Chargui, Tiente Hsu, Abdelghani Bekrar, Hamid Allaoui, Damien Trentesaux, Gilles Goncalves

The Physical Internet (PI) is an innovative concept that has the potential to significantly improve the efficiency, cost-effectiveness, and sustainability of the global supply chain industry, particularly in cross-docking operations. This paper addresses the truck-scheduling problem in rail–road PI…

Computers & Industrial Engineering, 2023, 182, pp.109404. ⟨10.1016/j.cie.2023.109404⟩. ⟨hal-04190449⟩

• N°spécial de revue/special issue

Introduction to the special issue on Intelligent Control and Optimisation

Seán Mcloone, Kevin Guelton, Thierry Guerra, Gian Antonio Susto, Juš Kocijan, Diego Romeres

Engineering Applications of Artificial Intelligence, 123 (Part B), pp.106325, 2023, ⟨10.1016/j.engappai.2023.106325⟩. ⟨hal-04083466⟩

• Chapitre d'ouvrage

Experimental Investigation of Performance and Exhaust Emissions of Pyrolytic Olive Pomaces biofuels blends without and with additives fuelled Internal Combustion Engine

Mansoura Salhi, Emna Berrich, Mehrez Romdhane, Fethi Aloui

Fethi Aloui; Edwin Geo Varuvel; Ankit Sonthalia. Handbook on Thermal Management Systems: e-mobility and other application, In press, 978-0-443-19017-9. ⟨hal-04166809⟩

• Chapitre d'ouvrage

Waste-heat driven Stirling engine systems: Conception and Parameters

Houda Hachem, Ramla Gheith, Fethi Aloui

Fethi Aloui; Edwin Geo Varuvel; Ankit Sonthalia. Handbook on Thermal Management Systems: e-mobility and other applications, 2023, 978-0-443-19017-9. ⟨hal-04167008⟩

• Article dans une revue

Height Fluctuations and Surface Gradients in Topographic Measurements

Julie Lemesle, Clement Moreau, Raphael Deltombe, Joseph Martin, François Blateyron, Maxence Bigerelle, Christopher Brown

Topographic maps are composed of pixels associated with coordinates (x, y, z) on a surface. Each pixel location (x, y) is linked with fluctuations in a measured height sample (z). Fluctuations here are uncertainties in heights estimated from multiple topographic measurements at the same position.…

Materials, 2023, 16 (15), pp.5408. ⟨10.3390/ma16155408⟩. ⟨hal-04489050⟩

• Article dans une revue

Deep Reinforcement Learning Based Decision-Making Strategy of Autonomous Vehicle in Highway Uncertain Driving Environments

Huifan Deng, Youqun Zhao, Qiuwei Wang, Anh-Tu Nguyen

Uncertain environment on multi-lane highway, e.g., the stochastic lane-change maneuver of surrounding vehicles, is a big challenge for achieving safe automated highway driving. To improve the driving safety, a heuristic reinforcement learning decision-making framework with integrated risk…

Automotive Innovation, 2023, 6 (3), pp.438-452. ⟨10.1007/s42154-023-00231-6⟩. ⟨hal-04278808⟩

• Chapitre d'ouvrage

Thermal and catalytic pyrolysis of date palm stones: Production, characterization of pyrolytic oil and study of performance and emission characteristics in CI engine

Ilham Soltani, Emna Berrich, Mehrez Romdhane, Fethi Aloui

Fethi Aloui; Edwin Geo Varuvel; Ankit Sonthalia. Handbook on Thermal Management Systems: e-mobility and other applications, 2023, 9780443190179. ⟨hal-04166860⟩