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Publications

Affichage des publications 441 à 450 sur 3833 au total

Humanities and Social Sciences

History of magnetism

Magnetism is a science with more than two millennia of recorded history. The attraction of ferrous objects to a permanent magnet across a distance has been a source of curiosity since the iron age. Investigations of magnetic phenomena led to the…

J.M.D. Coey, Frédéric Mazaleyrat

Signal and Image processing

Renforcement de la localisation piétonne par détection visuelle via des informations géométriques et spatiales contenues dans une carte

This paper presents a technique to reinforce a proprioceptive system of indoor pedestrian location, assisted by a camera,embedded in a phone. A YOLOv5 neural network is trained to detect landmarks present in the images. The main contributionof this…

Mohamed Anis Ghaoui, Bastien Vincke, Roger Reynaud

GRETSI 2023. XXIXème Colloque Francophone de Traitement du Signal et des Images -

Robotics

Real-time embedded large-scale place recognition for autonomous ground vehicles using a spatial descriptor

Place recognition is a key task in an autonomous vehicle’s Simultaneous Localization and Mapping (SLAM). The motion estimation is bound to drift over time due to cumulative errors. Fortunately, the correct identification of a revisited area provided…

Mohammed Chghaf, Sergio Alberto Rodriguez Florez, Abdelhafid Elouardi, Samir Bouaziz

Real-time Processing of Image, Depth and Video Information 2023 -

Electromagnetism

Optimal Design of High-Speed Electric Machines for Electric Vehicles: A Case Study of 100 kW V-Shaped Interior PMSM

The need of compact machines increased in recent years due to increases in raw materials’ price. Hence, many studies are currently being conducted on high-speed challenges to propose an optimal design methodology. AC losses in windings are often not…

Taha El Hajji, S Hlioui, François Louf, Mohamed Gabsi, Guillaume Mermaz-Rollet, M’hamed Belhadi

Machines -

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 -

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 -

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 -