Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Portugal
- Germany
- Sweden
- Netherlands
- Spain
- Belgium
- Norway
- Denmark
- Italy
- Singapore
- Australia
- Ireland
- Finland
- Switzerland
- Austria
- Czech
- China
- Luxembourg
- Poland
- Canada
- Estonia
- Morocco
- Romania
- United Arab Emirates
- Hong Kong
- Brazil
- Japan
- Andorra
- Macau
- Saudi Arabia
- Vietnam
- Barbados
- Bulgaria
- Iceland
- Latvia
- Lithuania
- Malta
- Slovenia
- 31 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Earth Sciences
- Chemistry
- Business
- Environment
- Law
- Linguistics
- Humanities
- Electrical Engineering
- Psychology
- Arts and Literature
- Physics
- Social Sciences
- Sports and Recreation
- Education
- Design
- Philosophy
- 14 more »
- « less
-
dataset generation technique to optimize the training of neural networks (NNs) for seismic data prediction. The use of neural networks to predict seismic velocity models has shown increasingly accurate and
-
on building dynamic system models for both the energy conversion technologies and the greenhouse climate, integrating these into a unified framework suitable for state estimation, predictive control, and
-
, with healthcare innovation and pharmaceutical industry partners. Our research on early prediction of dementia (https://www.bbc.co.uk/news/health-57934589 ) has the potential to deliver significant
-
meteorological data; compilation of data on the incidence of relevant vineyard pests and diseases; study of environmental conditions favorable to their development. 2) Development of the predictive model (Months 3
-
modes, effects, and criticality requires deep domain knowledge and careful analysis. Collecting High-Quality Sensor Data. Simulating Realistic Fault Conditions. Developing Reliable Fault Prediction Models
-
Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
-
the High Temperature Gas-cooled Reactor (HTGR) as the most credible Advanced Modular Reactor (AMR) technology. Achieving improved performance requires accurate, high-fidelity modelling to reliably predict power
-
Institut de Recherche en Génie Civil et Mécanique (GeM) | Saint Nazaire, Pays de la Loire | France | 5 days ago
or random fields or, propagated through the predictive models to improve their robustness. The measurements may also be compared with other mechanical characterisation techniques, including in situ approaches
-
to accelerate the path to certification. More details on the project can be found here: https://hecustom.eu/ This post will contribute to the creation and validation of a digital twin (with biological bone models
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description he project aims to develop a data-driven model to