Risk Assessment of COVID-19 Transmission on Cruise Ships Using Fuzzy Rules
Authors: G. Sovatzidi, G. Triantafyllou, G. Dimas, P.G. Kalozoumis, D. Drikakis, I.W. Kokkinakis, I.A. Markakis, C. Golna, and D.K. Iakovidis
This is a conference proceeding paper. It was presented during the Artificial Intelligence Applications and Innovations (AIAI) Conference in Corfu, Greece in June 2024
Sensor-based Fuzzy Inference of COVID-19 Transmission Risk in Cruise Ships
Authors: G. Triantafyllou, G. Sovatzidi, G. Dimas, P.G. Kalozoumis, D. Drikakis, I.W. Kokkinakis, I.A. Markakis, C. Golna, and D.K. Iakovidis
This is a conference proceeding paper. It was presented during the Medical Informatics Europe (MIE) Conference in Athens, Greece in August 2024
Fuzzy System for Norovirus Transmission Risk Assessment on Cruise Ships based on Sensor Data
Authors: G. Sovatzidi, G. Triantafyllou, D. K. Iakovidis
This is a conference proceeding paper. It was presented during the International Conference on Digital Data Processing (DDP) in Luton, UK in August 2025
Screening and early detection of communicable diseases on board cruise ships: an assessment of passengers’ preferences on technical solutions
Authors: Christina Golna, Ioannis Anestis Markakis, Chara Tzavara, Pavlos Golnas, Aikaterini Ntokou, Kyriakos Souliotis (Health Policy Institute & Work Package leader in WP1, contributor in WP2, WP3, WP5)
This is an Open Access journal publication*
Comparison of super-resolution deep learning models for flow imaging
Authors: Filippos Sofos (University of Thessaly), Dimitris Drikakis (University of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5), Ioannis William Kokkinakis (University of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5)
Accepted journal manuscript*
Sparsity and Mixing Effects in Deep Learning Predictions of Temperature and Humidity
Authors: Dimitris Drikakis (University of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5) & Ioannis William Kokkinakis (University of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5), Panagiotis Tirchas (University of Nicosia).
Accepted journal manuscript*
Advancing understanding of indoor conditions using artificial intelligence methods
Authors: Nicholas Christakis (University of Crete), Dimitris Drikakis (University of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5) & Ioannis William Kokkinakis (University of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5).
Accepted journal manuscript*
Enhancing Indoor Temperature Mapping: High-Resolution Insights through Deep Learning and Computational Fluid Dynamics
Authors: Filippos Sofos (University of Thessaly), Dimitris Drikakis (University of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5) & Ioannis William Kokkinakis (University of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5).
Accepted journal manuscript*
Ultra-scaled deep learning temperature reconstruction in turbulent airflow ventilation
Authors: Filippos Sofos (University of Thessaly), Dimitris Drikakis (University of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5) & Ioannis William Kokkinakis (University of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5).
Accepted journal manuscript*
Unsupervised Machine Learning of Virus Dispersion Indoors
Authors: Dimitris Drikakis (University of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5); Konstantinos Ritos (University of Thessaly), Ioannis W. Kokkinakis (Univesity of Nicosia) & Nicholas Christakis (University of Nicosia).
Accepted journal manuscript*
Ultra-scaled deep learning temperature reconstruction in turbulent airflow ventilation
Authors: Filippos Sofos (University of Thessaly), Dimitris Drikakis (University of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5), Ioannis W. Kokkinakis (Univesity of Nicosia & contributor in HS4U WP2, WP3, WP4, WP5).
Accepted journal manuscript*

























































