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Affichage des publications 251 à 260 sur 4049 au total

Engineering Sciences

Life Cycle Cost Assessment and LCOE of 10.2 MW wind farm

Wind farm system is an exciting renewables energies sources, on all the plans. Wind turbines are now part of our landscape and which are developing at high speed. The expansion recent accelerated of wind farms is synonymous of a set of techno…

Abdelkarim Tahtah, Driss Raouti, Lionel Vido, Rachid Meziane

2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC) -

Life Sciences

UnityMol-Lite: Cross-platform Collaboration and Interactive Methods for Molecular Modeling in XR

Molecular modeling consists of a battery of theoretical and computational methods to model thebehavior of molecules. With the growth of computing power, molecular modeling has become acornerstone of material, pharmaceutical and biomedical research…

Mariano Spivak, Bastien Vincke, Hubert Santuz, Jérôme Hénin, Antoine Taly, Marc Baaden, Nicolas Férey

EuroXR 2024: Proceedings of the 21st EuroXR International Conference -

Engineering Sciences

Unrolled Expectation Maximization for Sparse Radio Interferometric Imaging

This paper introduces an unrolled Expectation Maximization (EM) algorithm for sparse image reconstruction from radio interferometric measurements in the presence of a compound Gaussian distribution noise. Traditional model-based reconstruction…

Nawel Arab, Yassine Mhiri, Isabelle Vin, Mohammed Nabil El Korso, Pascal Larzabal

32nd European Signal Processing Conference (EUSIPCO) -

Electric power

Energy-related Impact of Redefining Self-consumption for Distributed Edge Datacenters

Self-consumption is developing worldwide to increase renewable electricity consumption and reduce electricity bills. It can be carried out individually or collectively (grouping several entities), but is generally restricted geographically. In…

Wedan Emmanuel Gnibga, Anne Blavette, Anne-Cécile Orgerie

IGSC 2024 - 15th International Green and Sustainable Computing Conference -

Artificial Intelligence

Learning to Generate Training Datasets for Robust Semantic Segmentation

Semantic segmentation techniques have shown significant progress in recent years, but their robustness to real-world perturbations and data samples not seen during training remains a challenge, particularly in safety-critical applications. In this…

Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Andrei Bursuc, Angela Yao, Gianni Franchi

WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision -