most citedFilling in the Blanks: Applying Data Imputation in incomplete Water Metering Data

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2026

The Tethys Dataset: Seven Years of Hourly Smart Water Metering and a Pipeline for Making It Usable

Dimitrios Amaxilatis, Themistoklis Sarantakos, Georgios Mylonas +1

Methods for water demand forecasting and leak detection are based on public datasets, and for water those are scarce, short, or released only after an undocumented cleaning process…

cs.HC2026

From Sensor Data to Classroom Inquiry: GenAI-Supported Exploration of School Digital Twin Data

Themistoklis Sarantakos, Dimitrios Amaxilatis, Michail Giannakos +1

Digital Twins for educational buildings can support sustainability-oriented learning, but their use in schools remains limited. This paper presents a GenAI-based chatbot built on t…

cs.NI2026

Towards Secure and Interoperable Data Spaces for 6G: The 6G-DALI Approach

Dimitrios Amaxilatis, Themistoklis Sarantakos, Nikolaos Tsironis +2

The next generation of mobile networks, 6G, is expected to enable data-driven services at unprecedented scale and complexity, with stringent requirements for trust, interoperabilit…

cs.DC2025

Harnessing Data Spaces to Build Intelligent Smart City Infrastructures Across the Cloud-Edge Continuum

Dimitrios Amaxilatis, Themistoklis Sarantakos, Nikolaos Tsironis +3

Smart cities are increasingly adopting data-centric architectures to enhance the efficiency, sustainability, and resilience of urban services.

cs.LG2025★ 2 cited

Filling in the Blanks: Applying Data Imputation in incomplete Water Metering Data

Dimitrios Amaxilatis, Themistoklis Sarantakos, Ioannis Chatzigiannakis +1

In this work, we explore the application of recent data imputation techniques to enhance monitoring and management of water distribution networks using smart water meters, based on…