Publications

Neural and Evolutionary Computing

Efficient GEMM Implementation for Vision-Based Object Detection in Autonomous Driving Applications

Convolutional Neural Networks (CNNs) have been incredibly effective for object detection tasks. YOLOv4 is a state-of-the-art object detection algorithm designed for embedded systems. It is based on YOLOv3 and has improved accuracy, speed, and…

Fatima Zahra Guerrouj, Sergio Rodríguez Flórez, Mohamed Abouzahir, Abdelhafid El Ouardi, Mustapha Ramzi

Journal of Low Power Electronics and Applications - 2023

Life Sciences

Electromagnetic Breast Imaging and Uncertainty Quantification with Bayesian Neural Networks

Different scenarios of breast imaging segmentation and estimation of its electromagnetic (EM) or/and ultrasonic (US) parameters are presented, part of a two-pronged dynamic using Bayesian Neural Networks, the first being to continue obtaining more…

Valentin Noël, Thomas Rodet, Dominique Lesselier

Progress In Electromagnetics Research Symposium - 2023

Engineering Sciences

Identification and characterization of damaged fiber-reinforced laminates in a Bayesian framework

Non-destructive testing of damaged composite laminates modeled from the homogenization of fiber-reinforced polymers has always been and still is a challenge, both by underlying complexity and the difficulties encountered in the quantification of…

Valentin Noël, Thomas Rodet, Dominique Lesselier

26th International Workshop on Electromagnetic Nondestructive Evaluation (ENDE) 2023 - 2023

Electromagnetism

Tutoriel Optimisation Topologique d’un Transformateur

Théodore Cherrière, Thomas Gauthey

Electronics

Loss Distribution in an Electric Vehicle Traction Chain using a Cascaded H-Bridge Inverter with Integrated Battery

This paper attempts to determine the sources of loss of a cascaded H-bridge inverter with integrated batteries (CHB-IB) when used to supply an electric vehicle traction machine. An Energetic Macroscopic Representation (EMR) is performed to model the…

Gaël Pongnot, Clément Mayet, Denis Labrousse

PCIM Europe 2023 - 2023

Materials Science

Great multiferroic properties in BiFeO 3 /BaTiO 3 system with composite-like structure

Multiferroic materials have attracted significant research attention due to their technological potential for applications as multifunctional devices. The scarcity of single-phase multiferroics and their low inherent coupling between multiferroic…

Minghai Yao, Long Cheng, Shenglan Hao, Samir Salmanov, Mojca Otonicar, Frédéric Mazaleyrat, Brahim Dkhil

Applied Physics Letters - 2023

Materials Science

Grain size and piezoelectric effect on magnetoelectric coupling in BFO/PZT perovskite-perovskite composites

Magnetoelectric multiferroics are provoking much research activity for their potential applications in novel multifunctional devices. Compared with single-phase multiferroics, magnetoelectric composites have competitive advantages. The…

Minghai Yao, Arij Marzouki, Shenglan Hao, Samir Salmanov, Mojca Otonicar, Vincent Loyau, Brahim Dkhil

Journal of Alloys and Compounds - 2023

Electric power

A new isolated topology of DC-DC converter based on piezoelectric resonators

This article presents a new isolated topology of dc–dc converter based on piezoelectric resonators. Contrary to most existing topologies, the proposed one uses the natural isolation of piezoelectric resonators to isolate the converter's output from…

Valentin Breton, Emile Bigot, Ghislain Despesse, François Costa

IEEE Transactions on Power Electronics - 2023

Cultural heritage and museology

Contribution to Controlled Method of Varnish Removal from Easel Paintings by ns Pulsed Nd:YAG Laser

Varnish removal from easel paintings is a restoration procedure that is regularly undertaken by cultural heritage conservators. In very few cases, traditional methods (chemical and mechanical) do not allow them to reach the goal of a perfectly…

Maxime Lopez, Xueshi Bai, Nicolas Wilkie-Chancellier, Vincent Detalle

Heritage - 2023

Food engineering

Detection and quantification of Pb and Cr in oysters using laser-induced breakdown spectroscopy

Abstract The quantitative determination of heavy metals in aquatic products is of great importance for food security issues. Laser-induced breakdown spectroscopy (LIBS) has been used in a variety of foodstuff analysis, but is still limited by its…

Qingxia Yan, Ye Tian, Ying Li, Hong Lin, Ziwen Jia, Yuan Lu, Jin Yu, Chen Sun, Xueshi Bai, Vincent Detalle

Plasma Science and Technology - 2023