Abstract: Deep learning technology is identified as a valid tool for transient stability assessment (TSA). Moreover, the superior performance of the TSA model depends on generously labeled samples.
Debates over the presence of microplastics in the human body highlight the challenge of studying something simultaneously ...
The work at the Hanford site lab could save billions as environmental cleanup continues into the coming decades.
We proposed epistemic parity as a methodology for measuring the utility of differential privacy (DP) synthetic data in ...
Stretching protein samples in all directions pulls molecules farther apart, allowing them to be visualized using only light ...
Abstract: The shortage of labeled historical data, particularly the reduction of partial sensor signals in flight logs, has diminished the accuracy of UAV fault detection methods during long-term ...
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