A Multivariate Statistical Framework for Detection, Classification and Pre-localization of Anomalies in Water Distribution Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Melnikov, Oleg, Dorofieiev, Yurii, Shakhnovskiy, Yurii, Truong, Huy, Degeler, Victoria |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Neural Networks for Pressure Estimation in Water Distribution Systems
by: Truong, Huy, et al.
Published: (2023)
by: Truong, Huy, et al.
Published: (2023)
DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks
by: Truong, Huy, et al.
Published: (2025)
by: Truong, Huy, et al.
Published: (2025)
Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks
by: Tello, Andres, et al.
Published: (2024)
by: Tello, Andres, et al.
Published: (2024)
Unsupervised Data Validation Methods for Efficient Model Training
by: Paniv, Yurii
Published: (2024)
by: Paniv, Yurii
Published: (2024)
Mixture of Layers with Hybrid Attention
by: Ternovtsii, Ivan, et al.
Published: (2026)
by: Ternovtsii, Ivan, et al.
Published: (2026)
Architecture of Information
by: Parzhyn, Yurii
Published: (2025)
by: Parzhyn, Yurii
Published: (2025)
PINNs error estimates for nonlinear equations in $\mathbb{R}$-smooth Banach spaces
by: Gao, Jiexing, et al.
Published: (2023)
by: Gao, Jiexing, et al.
Published: (2023)
Learning Semantic Association Rules from Internet of Things Data
by: Karabulut, Erkan, et al.
Published: (2024)
by: Karabulut, Erkan, et al.
Published: (2024)
Too Good To Be True: performance overestimation in (re)current practices for Human Activity Recognition
by: Tello, Andrés, et al.
Published: (2023)
by: Tello, Andrés, et al.
Published: (2023)
AE SemRL: Learning Semantic Association Rules with Autoencoders
by: Karabulut, Erkan, et al.
Published: (2024)
by: Karabulut, Erkan, et al.
Published: (2024)
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics
by: Springer, Sebastian, et al.
Published: (2025)
by: Springer, Sebastian, et al.
Published: (2025)
Discovering Association Rules in High-Dimensional Small Tabular Data
by: Karabulut, Erkan, et al.
Published: (2025)
by: Karabulut, Erkan, et al.
Published: (2025)
Neurosymbolic Association Rule Mining from Tabular Data
by: Karabulut, Erkan, et al.
Published: (2025)
by: Karabulut, Erkan, et al.
Published: (2025)
Time-Series Classification with Multivariate Statistical Dependence Features
by: Sun, Yao, et al.
Published: (2026)
by: Sun, Yao, et al.
Published: (2026)
Active Rule Mining for Multivariate Anomaly Detection in Radio Access Networks
by: Isaac, Ebenezer R. H. P., et al.
Published: (2025)
by: Isaac, Ebenezer R. H. P., et al.
Published: (2025)
Calibrated Multivariate Distributional Regression with Pre-Rank Regularization
by: Laajil, Aya, et al.
Published: (2026)
by: Laajil, Aya, et al.
Published: (2026)
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data
by: Yu, Lingrui
Published: (2023)
by: Yu, Lingrui
Published: (2023)
Label-Free Multivariate Time Series Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023)
by: Zhou, Qihang, et al.
Published: (2023)
Open-Set Multivariate Time-Series Anomaly Detection
by: Lai, Thomas, et al.
Published: (2023)
by: Lai, Thomas, et al.
Published: (2023)
Back to Bayesics: Uncovering Human Mobility Distributions and Anomalies with an Integrated Statistical and Neural Framework
by: Duan, Minxuan, et al.
Published: (2024)
by: Duan, Minxuan, et al.
Published: (2024)
Multivariate Time Series Anomaly Detection in Industry 5.0
by: Colombi, Lorenzo, et al.
Published: (2025)
by: Colombi, Lorenzo, et al.
Published: (2025)
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
by: Rezakhani, Mahshid, et al.
Published: (2025)
by: Rezakhani, Mahshid, et al.
Published: (2025)
Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection
by: Goina, Dacian, et al.
Published: (2024)
by: Goina, Dacian, et al.
Published: (2024)
Statistical Inference for Clustering-based Anomaly Detection
by: Phu, Nguyen Thi Minh, et al.
Published: (2025)
by: Phu, Nguyen Thi Minh, et al.
Published: (2025)
DARTs: A Dual-Path Robust Framework for Anomaly Detection in High-Dimensional Multivariate Time Series
by: Liu, Xuechun, et al.
Published: (2025)
by: Liu, Xuechun, et al.
Published: (2025)
Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series
by: Boggia, Laura, et al.
Published: (2025)
by: Boggia, Laura, et al.
Published: (2025)
CLEANet: Robust and Efficient Anomaly Detection in Contaminated Multivariate Time Series
by: Zhang, Songhan, et al.
Published: (2025)
by: Zhang, Songhan, et al.
Published: (2025)
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains
by: Jacob, Vincent, et al.
Published: (2025)
by: Jacob, Vincent, et al.
Published: (2025)
Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection
by: Chen, Jiazhen, et al.
Published: (2025)
by: Chen, Jiazhen, et al.
Published: (2025)
Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization
by: Shimillas, Charalampos, et al.
Published: (2026)
by: Shimillas, Charalampos, et al.
Published: (2026)
Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation
by: Nosrati, Khayyam, et al.
Published: (2026)
by: Nosrati, Khayyam, et al.
Published: (2026)
Supplementary Material for "Revealing Spatiotemporal Deformation Patterns through Time-Dependent Clustering of GNSS Data in the Japanese Islands"
by: Gabsatarov, Yurii, et al.
Published: (2025)
by: Gabsatarov, Yurii, et al.
Published: (2025)
Supplementary Material for "Revealing Spatiotemporal Deformation Patterns through Time-Dependent Clustering of GNSS Data in the Japanese Islands"
by: Gabsatarov, Yurii, et al.
Published: (2025)
by: Gabsatarov, Yurii, et al.
Published: (2025)
CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift
by: Kim, HyunGi, et al.
Published: (2026)
by: Kim, HyunGi, et al.
Published: (2026)
Anomaly Detection and Classification in Knowledge Graphs
by: Senaratne, Asara, et al.
Published: (2024)
by: Senaratne, Asara, et al.
Published: (2024)
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
by: Liu, Yunhui, et al.
Published: (2025)
by: Liu, Yunhui, et al.
Published: (2025)
Moon: A Modality Conversion-based Efficient Multivariate Time Series Anomaly Detection
by: Yao, Yuanyuan, et al.
Published: (2025)
by: Yao, Yuanyuan, et al.
Published: (2025)
Deep generative models as the probability transformation functions
by: Bondar, Vitalii, et al.
Published: (2025)
by: Bondar, Vitalii, et al.
Published: (2025)
Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series
by: Hammami, Wajdi, et al.
Published: (2025)
by: Hammami, Wajdi, et al.
Published: (2025)
HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting
by: Savchenko, Andrey, et al.
Published: (2025)
by: Savchenko, Andrey, et al.
Published: (2025)
Similar Items
-
Graph Neural Networks for Pressure Estimation in Water Distribution Systems
by: Truong, Huy, et al.
Published: (2023) -
DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks
by: Truong, Huy, et al.
Published: (2025) -
Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks
by: Tello, Andres, et al.
Published: (2024) -
Unsupervised Data Validation Methods for Efficient Model Training
by: Paniv, Yurii
Published: (2024) -
Mixture of Layers with Hybrid Attention
by: Ternovtsii, Ivan, et al.
Published: (2026)