Jan 12, 2023 · We developed a deep learning-based super-resolution model with an upscale ratio of 3; ie, the trained model is able to enlarge drop images 9 times accurately.
Jan 12, 2023 · The challenge is to analyze all video images automatically, while the drops are not symmetric anymore and contact angles change while sliding ...
Jan 12, 2023 · We developed a deep learning-based super-resolution model with an upscale ratio of 3; ie, the trained model is able to enlarge drop images 9 times accurately.
The challenge is to analyze all video images automatically, while the drops are not symmetric anymore and contact angles change while sliding down the tilted ...
May 27, 2024 · High speed side-view videos of sliding drops enable researchers to investigate drop dynamics and surface properties.
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Deep Learning to Analyze Sliding Drops. Langmuir, 39, 3, 2023, 1111–1122. State-of-the-art contact angle ...
May 30, 2024 · High speed side-view videos of sliding drops enable researchers to investigate drop dynamics and surface properties.
Deep learning to analyze sliding drops. S Shumaly, F Darvish, X Li, A Saal, C ... Estimating sliding drop width via side-view features using recurrent neural ...
Feb 28, 2024 · It is found that the RNN, with its GRU architecture, effectively learns to predict changes in the friction coefficient resulting from velocity jumps.