Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Aalborg University
- Ariel University
- CSIC
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- ;
- Centrale Supelec
- Cranfield University
- Ecole Centrale de Lyon
- Eindhoven University of Technology (TU/e)
- Fondazione Bruno Kessler
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Institut National des Sciences Appliquées de Lyon
- KU LEUVEN
- Max Planck Institute for Mathematics in the Sciences
- Museum fuer Naturkunde, Leibniz Institute for Evolution and Biodiversity Science
- NORCE Norwegian Research Centre
- National Laboratory of Energy and Geology
- Newcastle University
- Nicolaus Copernicus Astronomical Center
- Norwegian University of Life Sciences (NMBU)
- Slovak University of Agriculture in Nitra
- Swansea University
- University College Dublin
- University of California
- University of East London
- University of Plymouth
- University of Surrey
- University of Sussex;
- Université de Caen Normandie
- 22 more »
- « less
-
Field
-
. Renewable Energy, 143 :1812–1825, 2019. B. Kayser, Gauvreau B, and D. Ecotière. Sensitivity analysis of a parabolic equation model to ground impedance and surface roughness for wind turbine noise. Journal
-
Institut National des Sciences Appliquées de Lyon | Villeurbanne, Rhone Alpes | France | 17 days ago
solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project/id/101227712 ). The project focuses on the development of Acoustic Black Hole (ABH) technologies
-
improves the performance of ROMs, making them more applicable to real-time structural health monitoring, vibration analysis, and control design. This research offers real-world impact across several
-
will focus on the design and implementation of advanced models for data enhancement, denoising, semantic segmentation, content-based retrieval, target detection, multitemporal analysis, and radar mapping
-
based on seismic noise correlations, particularly for applications to crustal and upper mantle tomography in various regions of the world, notably in the Alps (e.g., Nouibat et al., 2022, 2023
-
. The project will build on ISEY’s previous research which found that overall noise levels in a class of 4-5 year olds were lower when matched activities were conducted outside (even on urban school grounds
-
, algorithms and programming paradigms to provide input for quantum and HPC system procurements and DOE technology roadmaps. Collaborate with theorists and experimentalists to validate hardware noise models
-
cabins. Characteristics of gaseous and particulate emissions, noise emissions, health risks, and relevant legislation. Theoretical analysis and principles of infrared thermography, emissivity, and active
-
: noise, habitat alteration, etc. Taken in isolation, these effects are often well understood. However, there is still a lack of understanding of how they accumulate and how a local impact can propagate on
-
and with the 2AT team at Institut Pprime to develop an innovative jet-noise prediction tool. The researcher will develop a novel jet-noise prediction tool based on a resolvent analysis of the Navier