Predicting critical heat flux with uncertainty quantification and domain generalization using conditional variational autoencoders and deep neural networks
Deep generative models (DGMs) have proven to be powerful in generating realistic data
samples. Their capability to learn the underlying distribution of a dataset enable them to …
samples. Their capability to learn the underlying distribution of a dataset enable them to …
ARTISANS—Artificial Intelligence for Simulation of Advanced Nuclear Systems for Nuclear Fission Technology
The objective of this Technical Opinion Paper (TOP) is to provide an overview of the
research topics in the ARTISANS (Artificial Intelligence for Simulation of Advanced Nuclear …
research topics in the ARTISANS (Artificial Intelligence for Simulation of Advanced Nuclear …
An Investigation on Machine Learning Predictive Accuracy Improvement and Uncertainty Reduction using VAE-based Data Augmentation
The confluence of ultrafast computers with large memory, rapid progress in Machine
Learning (ML) algorithms, and the availability of large datasets place multiple engineering …
Learning (ML) algorithms, and the availability of large datasets place multiple engineering …
Secured and conditioned generation of synthetic mammograms
O López Rubio - 2024 - upcommons.upc.edu
The use of generative models in medical imaging offers significant potential to address the
scarcity of labeled medical data, particularly in mammography. The challenge we address in …
scarcity of labeled medical data, particularly in mammography. The challenge we address in …
Machine Learning Techniques for Laser-Plasma Acceleration Optimization
J Matěj - 2024 - dspace.cvut.cz
Práce se zabývá analýzou dat z laser-plasmového urychlovače částic ve spolupráci s
vědeckou institucí ELI Beamlines. V rámci práce byl navržen proces předpřipravení dat a …
vědeckou institucí ELI Beamlines. V rámci práce byl navržen proces předpřipravení dat a …
[PDF][PDF] Nurses' workload prediction in hospitals-a Machine Learning-based approach
M Gharbi, C Verdier, M Di Mascolo - INFORSID, 2024 - hal.science
In hospitals, nurses represent nearly half of the staff and they play an important role in
healthcare delivery. However, there is an existing shortage that leads to increased …
healthcare delivery. However, there is an existing shortage that leads to increased …