ENTITY
Alberto D. Cencillo
Alberto D. Cencillo
PulseAugur coverage of Alberto D. Cencillo — every cluster mentioning Alberto D. Cencillo across labs, papers, and developer communities, ranked by signal.
Total · 30d
2
2 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
2
2 over 90d
TIER MIX · 90D
TOPICS
SENTIMENT · 30D
2 day(s) with sentiment data
RECENT · PAGE 1/1 · 2 TOTAL
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CNN model improves anomaly detection for Spallation Neutron Source
Researchers have developed a lightweight Convolutional Neural Network (CNN) model for anomaly detection in high-voltage converter modulators at the Spallation Neutron Source (SNS). This new approach aims to reduce downt…
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VACE method improves time series anomaly detection with geometric representation
Researchers have introduced VACE, a novel self-supervised method for detecting anomalies in multivariate time series data. VACE, which stands for Velocity-Aligned Channel Embeddings, focuses on learning a geometrically …