| A big data approach for Fuel Oil Consumption estimation in the maritime industry D Kaklis, P Eirinakis, G Giannakopoulos, C Spyropoulos, TJ Varelas, ... 2022 IEEE Eighth International Conference on Big Data Computing Service and …, 2022 | 10 | 2022 |
| Enabling digital twins in the maritime sector through the lens of AI and industry 4.0 D Kaklis, I Varlamis, G Giannakopoulos, TJ Varelas, CD Spyropoulos International Journal of Information Management Data Insights 3 (2), 100178, 2023 | 8 | 2023 |
| Online training for fuel oil consumption estimation: A data driven approach D Kaklis, I Varlamis, G Giannakopoulos, C Spyropoulos, TJ Varelas 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 394-400, 2022 | 8 | 2022 |
| A data mining approach for predicting main-engine rotational speed from vessel-data measurements D Kaklis, G Giannakopoulos, I Varlamis, CD Spyropoulos, TJ Varelas Proceedings of the 23rd International Database Applications & Engineering …, 2019 | 8 | 2019 |
| From STEAM to Machine: Emissions control in the shipping 4.0 era D Kaklis, TJ Varelas, I Varlamis, P Eirinakis, G Giannakopoulos, ... SNAME International Symposium on Ship Operations, Management and Economics …, 2023 | 6 | 2023 |
| Trajectory Mining and Routing: A Cross-Sectoral Approach D Kaklis, I Kontopoulos, I Varlamis, IZ Emiris, T Varelas Journal of Marine Science and Engineering 12 (1), 157, 2024 | 2 | 2024 |
| AIS-Enabled Weather Routing for Cargo Loss Prevention K Spyrou-Sioula, I Kontopoulos, D Kaklis, A Makris, K Tserpes, P Eirinakis, ... Journal of Marine Science and Engineering 10 (11), 1755, 2022 | 2 | 2022 |
| Improving voyage efficiency in the shipping 4.0 decarbonization era TJ Varelas, D Kaklis, I Varlamis, A Flori 2023 IEEE International Conference on Service-Oriented System Engineering …, 2023 | | 2023 |
Iraklis VarlamisProfessor, Department of Informatics and Telematics, Harokopio University of AthensVerified email at hua.gr
