WLS-based DSSE uncertainty bounds are distorted by pseudo-measurement distribution shape, with heavy-tailed and skewed distributions causing systematic overstatement of bounds that varies by bus and scenario.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
CONDITIONAL 2representative citing papers
A two-stage MLP detects urological events in vesical pressure signals with 84% accuracy for voiding versus non-voiding and 90% for abdominal versus detrusor overactivity on external validation data.
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Sensitivity Quantification for Distribution System State Estimation
WLS-based DSSE uncertainty bounds are distorted by pseudo-measurement distribution shape, with heavy-tailed and skewed distributions causing systematic overstatement of bounds that varies by bus and scenario.
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Automated Detection of Urological Events in Bladder Pressure Signals with a Two-Stage Machine Learning Framework Validated on External Datasets
A two-stage MLP detects urological events in vesical pressure signals with 84% accuracy for voiding versus non-voiding and 90% for abdominal versus detrusor overactivity on external validation data.