Dual Temporal Masked Modeling for KPI Anomaly Detection via Similarity Aggregation
T Yu, Z Gao, K Xu, X Wang, P Shi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the expanding scale of current industries, monitoring systems centered around Key
Performance Indicators (KPIs) play an increasingly crucial role. KPI anomaly detection can …
Performance Indicators (KPIs) play an increasingly crucial role. KPI anomaly detection can …
[HTML][HTML] Industrial Environmental Impact Assessment Method Based on Detection of Complex Anomalies in Time Series
E Safonova, A Kravets, M Shcherbakov, A Kizim… - Applied System …, 2024 - mdpi.com
To minimize the environmental impact of energy enterprises, it is important to promptly
identify cases of possible changes in the quality of wastewater generated at power plants …
identify cases of possible changes in the quality of wastewater generated at power plants …
Empirical comparison of approaches for mitigating effects of class imbalances in water quality anomaly detection
Imbalanced class distribution and missing data are two common problems and occurrences
in water quality anomaly detection domain. Learning algorithms in an imbalanced dataset …
in water quality anomaly detection domain. Learning algorithms in an imbalanced dataset …
Applying tree ensemble to detect anomalies in real-world water composition dataset
M Nguyen, D Logofătu - … and Automated Learning–IDEAL 2018: 19th …, 2018 - Springer
Drinking water is one of fundamental human needs. During delivery in distribution network,
drinking water is susceptible to contaminants. Early recognition of changes in water quality …
drinking water is susceptible to contaminants. Early recognition of changes in water quality …
EventDetectR--An Open-Source Event Detection System
S Chandrasekaran, M Rebolledo… - arXiv preprint arXiv …, 2020 - arxiv.org
EventDetectR: An efficient Event Detection System (EDS) capable of detecting unexpected
water quality conditions. This approach uses multiple algorithms to model the relationship …
water quality conditions. This approach uses multiple algorithms to model the relationship …
[PDF][PDF] Empirical Comparison of Approaches for Mitigating Effects of Class Imbalances in Water Quality Anomaly Detection
CO AIGBAVBOA - academia.edu
Imbalanced class distribution and missing data are two common problems and occurrences
in water quality anomaly detection domain. Learning algorithms in an imbalanced dataset …
in water quality anomaly detection domain. Learning algorithms in an imbalanced dataset …
[PDF][PDF] ANALISE COMPARATIVA DE MÉTODOS PARA DETECC AO DE EVENTOS EM SÉRIES TEMPORAIS
LEG Vignoli - 2021 - eic.cefet-rj.br
Grandes volumes de dados sao coletados e armazenados diariamente, necessitando de
um tratamento adequado para retornar informaçoes valiosas durante uma análise. Esses …
um tratamento adequado para retornar informaçoes valiosas durante uma análise. Esses …