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Probabilistic Machine Learning for Fatigue Data
(2021 , Dataset)
Probabilistic neural networks (PNNs) are used to model the fatigue of metals and to model the vibration/stress relationship in process pipework. The data used in training the network and the network architecture are provided ...
Using Conditional Generative Adversarial Networks in Computational Mechanics -- Code
(2022 , Dataset)
We use cGANs to solve computational mechanics. We model a structure using FEA and generate simulations results (deflection and stress). We then transform the FEA results into images where the colour channels correspond to ...
Fatigue-Life-Prediction-by-Means-of-Nonconstant-Variance-Probabilistic-Neural-Network
(2022 , Dataset)
The modelling of fatigue using machine learning (ML) has been gaining traction in the engineering community. Among ML techniques, the use of probabilistic neural networks (PNNs) has recently emerged as a candidate for ...
Dataset for influence of visual and haptic feedback on the detection of threshold forces in a surgical grasping task
(
Elsevier
, 2022 , Dataset)
The data is related to minimal force thresholds perception in robotic surgical grasping applications. The experimental setup included an indenter-based haptic device acting on the fingertip of a participant and a visual ...