Protégeons les jeunes du Canada contre les risques associés à l’exposition à la publicité sur le jeu. [PDF]
Charlebois S, Kelly S.
europepmc +1 more source
GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li +9 more
wiley +1 more source
Préservation de la fertilité par transport de tissu ovarien et cryoconservation centralisée chez une femme de 20 ans atteinte du lymphome de Hodgkin. [PDF]
Michaeli J +3 more
europepmc +1 more source
Enquete 2010 sur l'audit interne dans les entités publiques belges Résultats preliminaries [PDF]
Christiaens, Johan +2 more
core +1 more source
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza +2 more
wiley +1 more source
Thrombus cardiaque malgré une anticoagulothérapie chez un homme de 76 ans. [PDF]
Wang H, Khalife R, Boczar KE, Xu Y.
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Constitution du risque et risque constitutionnel
openaire +1 more source
Emissions au champ de pesticides vers l'air en conditions tropicales : état de l'art et perspectives de recherche. [PDF]
Basset-Mens, Claudine
core
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source

