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Found 8 papers, 3 papers with code
Tracking Blobs in the Turbulent Edge Plasma of a Tokamak Fusion Device
The analysis of turbulence in plasmas is fundamental in fusion research.
Predicting Critical Biogeochemistry of the Southern Ocean for Climate Monitoring
We trained our neural networks on observations from the Global Ocean Ship-Based Hydrographic Investigations Program (GO-SHIP) and use dropout regularization to provide uncertainty bounds around our predicted values.
Predicting Atlantic Multidecadal Variability
Atlantic Multidecadal Variability (AMV) describes variations of North Atlantic sea surface temperature with a typical cycle of between 60 and 70 years.
Pedestrian Wind Factor Estimation in Complex Urban Environments
Urban planners and policy makers face the challenge of creating livable and enjoyable cities for larger populations in much denser urban conditions.
Image2Lego: Customized LEGO Set Generation from Images
In order to demonstrate the broad applicability of our system, we generate step-by-step building instructions and animations for LEGO models of objects and human faces.
A Machine Learning and Computer Vision Approach to Rapidly Optimize Multiscale Droplet Generation
Generating droplets from a continuous stream of fluid requires precise tuning of a device to find optimized control parameter conditions.
Online Preconditioning of Experimental Inkjet Hardware by Bayesian Optimization in Loop
Thus, in this work, we develop a computer vision-driven Bayesian optimization framework for optimizing the deposited droplet structures from an inkjet printer such that it is tuned to perform high-throughput experimentation on semiconductor materials.
Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis
Measuring the acoustic characteristics of a space is often done by capturing its impulse response (IR), a representation of how a full-range stimulus sound excites it.
