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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
The semantic structure of events consistently influences episodic memory recall over time in young and older adults. [PDF]
Melega G, Samson K, Lee H, Renoult L.
europepmc +1 more source
A Brief Technique to Reduce Flashbacks of Sexual Trauma in an Adolescent: Proof-of-Concept Case Study Using Imagery Interference. [PDF]
Lau-Zhu A, Chan C.
europepmc +1 more source
Introduction to Special Issue: Visual Mental Imagery System: How We Image the World. [PDF]
Marks DF.
europepmc +1 more source
Interaction of repetition and retention interval influences the transfer effect after answer feedback for episodic memory. [PDF]
Wang L, Yang J.
europepmc +1 more source
Task evoked EEG reveals neural processing differences in aphantasia. [PDF]
Boere K +6 more
europepmc +1 more source
The Phenomenology of Offline Perception: Multisensory Profiles of Voluntary Mental Imagery and Dream Imagery. [PDF]
Bilzer M, Monzel M.
europepmc +1 more source
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Proceedings of the 26th ACM international conference on Multimedia, 2018
Due to the advances in deep reinforcement learning and the demand of large training data, virtual-to-real learning has gained lots of attention from computer vision community recently. As state-of-the-art 3D engines can generate photo-realistic images suitable for training deep neural networks, researchers have been gradually applied 3D virtual ...
Kuan-Ting Lai +4 more
openaire +1 more source
Due to the advances in deep reinforcement learning and the demand of large training data, virtual-to-real learning has gained lots of attention from computer vision community recently. As state-of-the-art 3D engines can generate photo-realistic images suitable for training deep neural networks, researchers have been gradually applied 3D virtual ...
Kuan-Ting Lai +4 more
openaire +1 more source
ACM SIGGRAPH 2019 Appy Hour, 2019
We present ViVid, a mobile app for iOS that empowers users to express dynamics in stylized Live Photos. This app uses state-of-the-art computer-vision techniques based on convolutional neural networks to estimate motion in the video footage that is captured together with a photo. Based on this analysis and best practices of contemporary art, photos can
Amir Semmo +5 more
openaire +1 more source
We present ViVid, a mobile app for iOS that empowers users to express dynamics in stylized Live Photos. This app uses state-of-the-art computer-vision techniques based on convolutional neural networks to estimate motion in the video footage that is captured together with a photo. Based on this analysis and best practices of contemporary art, photos can
Amir Semmo +5 more
openaire +1 more source

