DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Truong, Huy, Tello, Andrés, Lazovik, Alexander, Degeler, Victoria |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Graph Neural Networks for Pressure Estimation in Water Distribution Systems
by: Truong, Huy, et al.
Published: (2023)
by: Truong, Huy, et al.
Published: (2023)
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)
DiTEC-project/wdn-knowledge-graph: v1.0.0
by: Erkan Karabulut, et al.
Published: (2025)
by: Erkan Karabulut, et al.
Published: (2025)
Learning Semantic Association Rules from Internet of Things Data
by: Karabulut, Erkan, et al.
Published: (2024)
by: Karabulut, Erkan, et al.
Published: (2024)
AE SemRL: Learning Semantic Association Rules with Autoencoders
by: Karabulut, Erkan, et al.
Published: (2024)
by: Karabulut, Erkan, et al.
Published: (2024)
A Multivariate Statistical Framework for Detection, Classification and Pre-localization of Anomalies in Water Distribution Networks
by: Melnikov, Oleg, et al.
Published: (2025)
by: Melnikov, Oleg, 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)
BioCube: A Multimodal Dataset for Biodiversity Research
by: Stasinos, Stylianos, et al.
Published: (2025)
by: Stasinos, Stylianos, 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)
Tabular Foundation Models Can Learn Association Rules
by: Karabulut, Erkan, et al.
Published: (2026)
by: Karabulut, Erkan, et al.
Published: (2026)
Semantic Association Rule Learning from Time Series Data and Knowledge Graphs
by: Karabulut, Erkan, et al.
Published: (2023)
by: Karabulut, Erkan, et al.
Published: (2023)
TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models
by: Meijer, Caspar, et al.
Published: (2025)
by: Meijer, Caspar, et al.
Published: (2025)
Versor: A Geometric Sequence Architecture
by: Huy, Truong Minh, et al.
Published: (2026)
by: Huy, Truong Minh, et al.
Published: (2026)
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
by: Nikulin, Alexander, et al.
Published: (2024)
by: Nikulin, Alexander, et al.
Published: (2024)
Norm-Hierarchy Transitions in Representation Learning: When and Why Neural Networks Abandon Shortcuts
by: Khanh, Truong Xuan, et al.
Published: (2026)
by: Khanh, Truong Xuan, et al.
Published: (2026)
Domain-invariant Clinical Representation Learning by Bridging Data Distribution Shift across EMR Datasets
by: Zhang, Zhongji, et al.
Published: (2023)
by: Zhang, Zhongji, et al.
Published: (2023)
RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks
by: Niam, Arefin, et al.
Published: (2025)
by: Niam, Arefin, et al.
Published: (2025)
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face
by: Yang, Xinyu, et al.
Published: (2024)
by: Yang, Xinyu, et al.
Published: (2024)
Fréchet Power-Scenario Distance: A Metric for Evaluating Generative AI Models across Multiple Time-Scales in Smart Grids
by: Cai, Yuting, et al.
Published: (2025)
by: Cai, Yuting, et al.
Published: (2025)
RLAX: Large-Scale, Distributed Reinforcement Learning for Large Language Models on TPUs
by: Zhou, Runlong, et al.
Published: (2025)
by: Zhou, Runlong, et al.
Published: (2025)
DiLoCoX: A Low-Communication Large-Scale Training Framework for Decentralized Cluster
by: Qi, Ji, et al.
Published: (2025)
by: Qi, Ji, et al.
Published: (2025)
Scale Efficient Training for Large Datasets
by: Zhou, Qing, et al.
Published: (2025)
by: Zhou, Qing, et al.
Published: (2025)
FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models
by: Othman, Karim, et al.
Published: (2026)
by: Othman, Karim, et al.
Published: (2026)
Intelligence as Trajectory-Dominant Pareto Optimization
by: Khanh, Truong Xuan, et al.
Published: (2026)
by: Khanh, Truong Xuan, et al.
Published: (2026)
Dynamic Intelligence Ceilings: Measuring Long-Horizon Limits of Planning and Creativity in Artificial Systems
by: Khanh, Truong Xuan, et al.
Published: (2026)
by: Khanh, Truong Xuan, et al.
Published: (2026)
Fairness-Enhancing Ensemble Classification in Water Distribution Networks
by: Strotherm, Janine, et al.
Published: (2024)
by: Strotherm, Janine, et al.
Published: (2024)
PULSE: Practical Evaluation Scenarios for Large Multimodal Model Unlearning
by: Kawakami, Tatsuki, et al.
Published: (2025)
by: Kawakami, Tatsuki, et al.
Published: (2025)
Conformalized Neural Networks for Federated Uncertainty Quantification under Dual Heterogeneity
by: Nguyen, Quang-Huy, et al.
Published: (2026)
by: Nguyen, Quang-Huy, et al.
Published: (2026)
Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing
by: Sun, Rongyi, et al.
Published: (2026)
by: Sun, Rongyi, et al.
Published: (2026)
Physics-Informed Graph Neural Networks for Water Distribution Systems
by: Ashraf, Inaam, et al.
Published: (2024)
by: Ashraf, Inaam, 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)
EB-NeRD: A Large-Scale Dataset for News Recommendation
by: Kruse, Johannes, et al.
Published: (2024)
by: Kruse, Johannes, et al.
Published: (2024)
AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset
by: Everaert, Dante, et al.
Published: (2024)
by: Everaert, Dante, et al.
Published: (2024)
FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios
by: Moleri, Andrea, et al.
Published: (2026)
by: Moleri, Andrea, et al.
Published: (2026)
Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes
by: Duong, Manh Khoi, et al.
Published: (2024)
by: Duong, Manh Khoi, et al.
Published: (2024)
Unveiling Statistical Significance of Online Regression over Multiple Datasets
by: Abu-Shaira, Mohammad, et al.
Published: (2025)
by: Abu-Shaira, Mohammad, et al.
Published: (2025)
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
by: Dong, Hao, et al.
Published: (2024)
by: Dong, Hao, et al.
Published: (2024)
Positional-aware Spatio-Temporal Network for Large-Scale Traffic Prediction
by: Chen, Runfei
Published: (2026)
by: Chen, Runfei
Published: (2026)
Improving Line Search Methods for Large Scale Neural Network Training
by: Kenneweg, Philip, et al.
Published: (2024)
by: Kenneweg, Philip, et al.
Published: (2024)
Similar Items
-
Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks
by: Tello, Andres, et al.
Published: (2024) -
Graph Neural Networks for Pressure Estimation in Water Distribution Systems
by: Truong, Huy, et al.
Published: (2023) -
Too Good To Be True: performance overestimation in (re)current practices for Human Activity Recognition
by: Tello, Andrés, et al.
Published: (2023) -
DiTEC-project/wdn-knowledge-graph: v1.0.0
by: Erkan Karabulut, et al.
Published: (2025) -
Learning Semantic Association Rules from Internet of Things Data
by: Karabulut, Erkan, et al.
Published: (2024)