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04/22/2023
EEE, Remediating the failure of machine learning models via a network-based optimization patch
A network-based optimization approach, EEE, is proposed for the purpose ...
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12/15/2022
Spatially-resolved Thermometry from Line-of-Sight Emission Spectroscopy via Machine Learning
A methodology is proposed, which addresses the caveat that line-of-sight...
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10/14/2022
Realizing Flame State Monitoring with Very Few Visual or Infrared Images via Few-Shot Learning
The success of current machine learning on image-based combustion monito...
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10/12/2022
Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling
Physics-based inverse modeling techniques are typically restricted to pa...
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08/02/2022
A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting
Earth Observatory is a growing research area that can capitalize on the ...
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03/31/2022
Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that...
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01/17/2022
SwinUNet3D – A Hierarchical Architecture for Deep Traffic Prediction using Shifted Window Transformers
Traffic forecasting is an important element of mobility management, an i...
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12/07/2020