Recoverability maps use synthetic sweeps of viewing angles and artifacts to quantify the recoverable fraction of parameter space for license plate restoration, with the best model succeeding on 93% and geometry setting the limit over architecture choice.
Urban computing: Concepts, methodologies, and applications
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CT-OT Flow estimates continuous-time dynamics from discrete temporal snapshots by using partial optimal transport to align intervals and kernel smoothing to reconstruct distributions for ODE/SDE training.
SolarChain integrates first-principles solar yield calculations with blockchain verification to enforce physical output limits, enable sustainable P2P energy trading, and retire credits proportional to actual consumption.
citing papers explorer
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Mapping License Plate Recoverability Under Extreme Viewing Angles for Oppor-tunistic Urban Sensing
Recoverability maps use synthetic sweeps of viewing angles and artifacts to quantify the recoverable fraction of parameter space for license plate restoration, with the best model succeeding on 93% and geometry setting the limit over architecture choice.
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CT-OT Flow: Estimating Continuous-Time Dynamics from Discrete Temporal Snapshots
CT-OT Flow estimates continuous-time dynamics from discrete temporal snapshots by using partial optimal transport to align intervals and kernel smoothing to reconstruct distributions for ODE/SDE training.
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SolarChain: Bridging Physical Law, Verifiable Trust, and Sustainable Markets for Urban Energy Resilience
SolarChain integrates first-principles solar yield calculations with blockchain verification to enforce physical output limits, enable sustainable P2P energy trading, and retire credits proportional to actual consumption.