4 papers
Investigating Forecasting Models for Pandemic Infections Using Heterogeneous Data Sources: A 2-year Study with COVID-19
Zacharias Komodromos, Kleanthis Malialis, Panayiotis Kolios
Emerging in December 2019, the COVID-19 pandemic caused widespread health, economic, and social disruptions. Rapid global transmission overwhelmed healthcare systems, resulting in…
Cooperative Search and Track of Rogue Drones using Multiagent Reinforcement Learning
Panayiota Valianti, Kleanthis Malialis, Panayiotis Kolios +1
This work considers the problem of intercepting rogue drones targeting sensitive critical infrastructure facilities. While current interception technologies focus mainly on the jam…
Transformer-based Multivariate Time Series Anomaly Localization
Charalampos Shimillas, Kleanthis Malialis, Konstantinos Fokianos +1
With the growing complexity of Cyber-Physical Systems (CPS) and the integration of Internet of Things (IoT), the use of sensors for online monitoring generates large volume of mult…
Urban Water Consumption Forecasting Using Deep Learning and Correlated District Metered Areas
Kleanthis Malialis, Nefeli Mavri, Stelios G. Vrachimis +3
Accurate water consumption forecasting is a crucial tool for water utilities and policymakers, as it helps ensure a reliable supply, optimize operations, and support infrastructure…