SAN DIEGO, April 6, 2026 /PRNewswire/ -- Last week, Intentwise, a leader in marketplace management technology, defined a new category: Commerce Observability, the operating standard for modern ...
Abstract: In Internet of Things (IoT) and industrial IoT (IIoT) systems, interconnected sensors continuously generate nonstationary multivariate time series (MTS), where inter-variable dependencies ...
This paper proposes a scalable and interpretable framework for lane-wise highway traffic anomaly detection, leveraging multi-modal time series data extracted from surveillance cameras. Unlike ...
network-intrusion-detection-system/ ├── src/ │ ├── __init__.py │ ├── nids_engine.py # Core NIDS engine │ ├── packet_processor.py ...
EVERGLADES, FLA. (WSVN) — A pair of python hunters stumbled across a python swim party that might offer new insights into their nesting patterns in Florida. Professional python hunters Guillermo ...
Hacker or bug hijacked a Binance market maker account to manipulate low-liquidity BROCCOLI(714) token prices. Trader Vida spotted abnormal order-book behavior, rode the artificial pump, then reversed ...
5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?
College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, China The final, formatted version of the article will be published soon. This study proposes a ...
Abstract: Video anomaly detection (VAD) focuses on identifying anomalies in videos. Supervised methods demand substantial in-domain training data and fail to deliver clear explanations for anomalies.
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