16 papers
A Comparative Study of Deep Learning Architectures for Multi-Horizon Behavioural Forecasting for Mobile Health
Pavlos Nicolaou, Kleanthis Malialis, Artemis Kontou +1
Wearable devices and smartphones generate rich behavioural time series that can support proactive health interventions, yet systematic comparisons of modern forecasting architectur…
A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking
Jianlin Ye, Christos Kyrkou, Panayiotis Kolios
The integration of Unmanned Aerial Vehicles(UAVs) into Intelligent Transportation Systems (ITS) offers synoptic visibility for traffic monitoring, yet scalable deployment is hinder…
A Novel end-to-end Digital Health System Using Deep Learning-based ECG Analysis
Artemis Kontou, Natalia Miroshnikova, Costakis Matheou +4
This study presents AI-HEART, a cloud-based information system for managing and analysing long-duration ambulatory electrocardiogram (ECG) recordings and supporting clinician decis…
Adaptive Monitoring of Stochastic Fire Front Processes via Information-seeking Predictive Control
Savvas Papaioannou, Panayiotis Kolios, Christos G. Panayiotou +1
We consider the problem of adaptively monitoring a wildfire front using a mobile agent (e.g., a drone), whose trajectory determines where sensor data is collected and thus influenc…
Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response
Savvas Papaioannou, Panayiotis Kolios, Christos G. Panayiotou +1
In the rapidly changing environments of disaster response, planning and decision-making for autonomous agents involve complex and interdependent choices. Although recent advancemen…
A Cooperative Multi-Agent Probabilistic Framework for Search and Track Missions
Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides +2
In this work a robust and scalable cooperative multi-agent searching and tracking framework is proposed. Specifically, we study the problem of cooperative searching and tracking of…