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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Towards robust autonomous driving systems through adversarial test set generation.

Devrim Unal1, Ferhat Ozgur Catak2, Mohammad Talal Houkan3

  • 1KINDI Center For Computing Research, Qatar University, Doha 2713, Qatar.

ISA Transactions
|November 26, 2022
PubMed
Summary
This summary is machine-generated.

This study enhances autonomous driving safety by generating uncertain adversarial inputs to retrain machine learning models. This approach improves model robustness against attacks and data perturbations, leading to more accurate object recognition.

Failed At:

2026-06-19T13:39:53.468718+00:00

Keywords:
DLRisk-aware autonomous systemsTest set generationUncertainty

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