Unsupervised Online Detection of Pipe Blockages and Leakages in Water Distribution Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Jin, Malialis, Kleanthis, Vrachimis, Stelios G., Polycarpou, Marios M. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Online Detection of Water Contamination Under Concept Drift
by: Li, Jin, et al.
Published: (2025)
by: Li, Jin, et al.
Published: (2025)
Resilient Class-Incremental Learning: on the Interplay of Drifting, Unlabelled and Imbalanced Data Streams
by: Li, Jin, et al.
Published: (2026)
by: Li, Jin, et al.
Published: (2026)
Drift-Aware Variational Autoencoder-based Anomaly Detection with Two-level Ensembling
by: Li, Jin, et al.
Published: (2026)
by: Li, Jin, et al.
Published: (2026)
Urban Water Consumption Forecasting Using Deep Learning and Correlated District Metered Areas
by: Malialis, Kleanthis, et al.
Published: (2024)
by: Malialis, Kleanthis, et al.
Published: (2024)
Interpretable Event Diagnosis in Water Distribution Networks
by: Artelt, André, et al.
Published: (2025)
by: Artelt, André, et al.
Published: (2025)
Incremental Learning with Concept Drift Detection and Prototype-based Embeddings for Graph Stream Classification
by: Malialis, Kleanthis, et al.
Published: (2024)
by: Malialis, Kleanthis, et al.
Published: (2024)
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)
SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks
by: Malialis, Kleanthis, et al.
Published: (2025)
by: Malialis, Kleanthis, et al.
Published: (2025)
A Toolbox for Supporting Research on AI in Water Distribution Networks
by: Artelt, André, et al.
Published: (2024)
by: Artelt, André, et al.
Published: (2024)
Transformer-based Multivariate Time Series Anomaly Localization
by: Shimillas, Charalampos, et al.
Published: (2025)
by: Shimillas, Charalampos, et al.
Published: (2025)
A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification
by: Malialis, Kleanthis, et al.
Published: (2022)
by: Malialis, Kleanthis, et al.
Published: (2022)
Data augmentation on-the-fly and active learning in data stream classification
by: Malialis, Kleanthis, et al.
Published: (2022)
by: Malialis, Kleanthis, et al.
Published: (2022)
Unsupervised Incremental Learning with Dual Concept Drift Detection for Identifying Anomalous Sequences
by: Li, Jin, et al.
Published: (2024)
by: Li, Jin, et al.
Published: (2024)
A Novel end-to-end Digital Health System Using Deep Learning-based ECG Analysis
by: Kontou, Artemis, et al.
Published: (2026)
by: Kontou, Artemis, et al.
Published: (2026)
Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19
by: Komodromos, Zacharias, et al.
Published: (2025)
by: Komodromos, Zacharias, et al.
Published: (2025)
KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis
by: Logothetis, Stelios Boulitsakis, et al.
Published: (2026)
by: Logothetis, Stelios Boulitsakis, et al.
Published: (2026)
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
by: Sarfraz, M. Saquib, et al.
Published: (2024)
by: Sarfraz, M. Saquib, et al.
Published: (2024)
Explainable Fuzzy GNNs for Leak Detection in Water Distribution Networks
by: Khaled, Qusai, et al.
Published: (2026)
by: Khaled, Qusai, et al.
Published: (2026)
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
by: Bei, Yuanchen, et al.
Published: (2024)
by: Bei, Yuanchen, et al.
Published: (2024)
Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detection
by: Najafi, Seyed Amirhossein, et al.
Published: (2024)
by: Najafi, Seyed Amirhossein, et al.
Published: (2024)
No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks
by: Refael, Yehonatan, et al.
Published: (2025)
by: Refael, Yehonatan, et al.
Published: (2025)
FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection
by: Cao, Rui, et al.
Published: (2024)
by: Cao, Rui, et al.
Published: (2024)
Online Neural Networks for Change-Point Detection
by: Hushchyn, Mikhail, et al.
Published: (2020)
by: Hushchyn, Mikhail, et al.
Published: (2020)
Unsupervised Surrogate Anomaly Detection
by: Klüttermann, Simon, et al.
Published: (2025)
by: Klüttermann, Simon, et al.
Published: (2025)
An Efficient Unsupervised Federated Learning Approach for Anomaly Detection in Heterogeneous IoT Networks
by: Tajgardan, Mohsen, et al.
Published: (2026)
by: Tajgardan, Mohsen, et al.
Published: (2026)
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing
by: Lee, Sewoong, et al.
Published: (2023)
by: Lee, Sewoong, et al.
Published: (2023)
Differentially Private Distributed Inference
by: Papachristou, Marios, et al.
Published: (2024)
by: Papachristou, Marios, et al.
Published: (2024)
On Leakage in Machine Learning Pipelines
by: Sasse, Leonard, et al.
Published: (2023)
by: Sasse, Leonard, et al.
Published: (2023)
Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks
by: Malacarne, Sara, et al.
Published: (2026)
by: Malacarne, Sara, et al.
Published: (2026)
Unsupervised Identification and Replay-based Detection (UIRD) for New Category Anomaly Detection in ECG Signal
by: Shi, Zhangyue, et al.
Published: (2025)
by: Shi, Zhangyue, et al.
Published: (2025)
Neuro-inspired Ensemble-to-Ensemble Communication Primitives for Sparse and Efficient ANNs
by: Konstantaropoulos, Orestis, et al.
Published: (2025)
by: Konstantaropoulos, Orestis, et al.
Published: (2025)
Randomized PCA Forest for Unsupervised Outlier Detection
by: Rajabinasab, Muhammad, et al.
Published: (2025)
by: Rajabinasab, Muhammad, et al.
Published: (2025)
Unsupervised Event Outlier Detection in Continuous Time
by: Nath, Somjit, et al.
Published: (2024)
by: Nath, Somjit, et al.
Published: (2024)
Towards Unsupervised Validation of Anomaly-Detection Models
by: Idan, Lihi
Published: (2024)
by: Idan, Lihi
Published: (2024)
Cross-Country Learning for National Infectious Disease Forecasting Using European Data
by: Komodromos, Zacharias, et al.
Published: (2026)
by: Komodromos, Zacharias, et al.
Published: (2026)
Distributionally Robust Classification for Multi-source Unsupervised Domain Adaptation
by: Kim, Seonghwi, et al.
Published: (2026)
by: Kim, Seonghwi, et al.
Published: (2026)
A Mean Curvature Approach to Boundary Detection: Geometric Insights for Unsupervised Learning
by: Levada, Alexandre L. M.
Published: (2026)
by: Levada, Alexandre L. M.
Published: (2026)
Knowledge-guided EEG Representation Learning
by: Kommineni, Aditya, et al.
Published: (2024)
by: Kommineni, Aditya, et al.
Published: (2024)
Leakage and Interpretability in Concept-Based Models
by: Parisini, Enrico, et al.
Published: (2025)
by: Parisini, Enrico, et al.
Published: (2025)
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection
by: Li, Zhong, et al.
Published: (2025)
by: Li, Zhong, et al.
Published: (2025)
Similar Items
-
Online Detection of Water Contamination Under Concept Drift
by: Li, Jin, et al.
Published: (2025) -
Resilient Class-Incremental Learning: on the Interplay of Drifting, Unlabelled and Imbalanced Data Streams
by: Li, Jin, et al.
Published: (2026) -
Drift-Aware Variational Autoencoder-based Anomaly Detection with Two-level Ensembling
by: Li, Jin, et al.
Published: (2026) -
Urban Water Consumption Forecasting Using Deep Learning and Correlated District Metered Areas
by: Malialis, Kleanthis, et al.
Published: (2024) -
Interpretable Event Diagnosis in Water Distribution Networks
by: Artelt, André, et al.
Published: (2025)