Publications

Affichage de 81 à 90 sur 15697


  • Article dans une revue

Applying analog quantum computing to solve optimisation problems: case studies on Max-Cut and CVRP

Samuel Deleplanque, Amina El Yaagoubi, Téo Gras, Florent Descamps, Julia Mourrier, Isabelle Lefebvre

In this paper, we investigate the capabilities of analog quantum computers in solving well-known optimisation problems, with a specific focus on the Max-Cut and Capacitated Vehicle Routing Problem (CVRP). Our aim is to evaluate the performance of the D-Wave Advantage machine in addressing these…

International Journal of Systems Science: Operations & Logistics, 2025, 12 (1), ⟨10.1080/23302674.2025.2463530⟩. ⟨hal-04945172⟩

  • Communication dans un congrès

Event-Driven Neural Network for Ultra-Low-Power On-Chip Keyword Spotting

Marc Chevalier, Benoit Larras, Antoine Frappé

FETCH 2025 - École d'hiver Francophone sur les Technologies de Conception des Systèmes Embarqués Hétérogènes, Feb 2025, Montreal, Canada. ⟨hal-05053962⟩

  • Article dans une revue

Making field effect transistor measurements accessible to electrochemists and biologists

Rupali Bagale, Subhankar Sahu, Francesco Basini, Marcin Szymon Filipiak, David Montaigne, Christophe Ritzenthaler, Henri Happy, Christophe Kleber, Rabah Boukherroub, Wolfgang Knoll, Roberto Corradini, Sabine Szunerits

Field effect transistors (FETs), originally developed in the field of electronic engineering, have gained increasing prominence in biosensing due to their versatile operation characteristics, ranging from recording simple electrical transfer curves to performing chronoamperometric measurements.…

Journal of Solid State Electrochemistry, 2025, ⟨10.1007/s10008-025-06225-0⟩. ⟨hal-04963261⟩

  • Communication dans un congrès

Leveraging Vision Language Models for Facial Expression Recognition in Driving Environment

Ibtissam Saadi, Abdenour Hadid, Douglas Cunningham, Abdelmalik Taleb-Ahmed, Yassin El Hillali

We are witnessing an increasing interest in vision-language models (VLMs) as reflected in the impressive results across a large spectrum of tasks. In this context, we introduce in this paper a novel architecture that exploits the capabilities of VLMs for facial expression recognition in driving…

Sensor-Based Activity Recognition and Artificial Intelligence: 9th International Workshop, iWOAR 2024, Sep 2024, Potsdam, Germany. pp.81-93, ⟨10.1007/978-3-031-80856-2_6⟩. ⟨hal-04990793⟩

  • Article dans une revue

Direct Integration of Biomass‐Derived Furan Polymers for Enhanced Stability and Efficiency in Hybrid Perovskite Solar Cells

Zilu Lin, Yujia Li, Maloy Das, Caihong Liang, Xingchi Xiao, Zhihao Yen, Chandramouli Kulshreshtha, Luke Chia Wei Min, Aren Lim Junan, Kekeli N'Konou, Tze Chien Sum, Nripan Mathews, Andrew Grimsdale, Leonard Ng

Abstract This study introduces a novel, biomass‐derived, furan‐based conjugated polymer, PBDF‐DFC, enabling a simplified direct precursor integration fabrication method for hybrid perovskite solar cells (HPSCs). Unlike traditional thiophene‐based polymers, PBDF‐DFC exhibits high solubility in…

Advanced Functional Materials, 2025, ⟨10.1002/adfm.202423635⟩. ⟨hal-04963069⟩

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