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2020 – today
- 2023
[b1]Dimitrios Kaklis:
AI & ΙοΤ-enabled exergy optimization for carbon-neutral ship operation. Harokopio University, Greece, 2023- [j1]Dimitrios Kaklis
, Iraklis Varlamis, George Giannakopoulos, Takis J. Varelas, Constantine D. Spyropoulos:
Enabling digital twins in the maritime sector through the lens of AI and industry 4.0. Int. J. Inf. Manag. Data Insights 3(2): 100178 (2023) - [c4]Takis J. Varelas, Dimitrios Kaklis, Iraklis Varlamis, Artemis Flori:
Improving Voyage Efficiency in the Shipping 4.0 Decarbonization Era. SOSE 2023: 191-198 - 2022
- [c3]Dimitrios Kaklis, Pavlos Eirinakis, George Giannakopoulos, Constantine D. Spyropoulos, Takis J. Varelas, Iraklis Varlamis:
A big data approach for Fuel Oil Consumption estimation in the maritime industry. BigDataService 2022: 39-47 - [c2]Dimitrios Kaklis, Iraklis Varlamis, George Giannakopoulos, Constantine D. Spyropoulos, Takis J. Varelas:
Online Training for Fuel Oil Consumption Estimation: A Data Driven Approach. MDM 2022: 394-400
2010 – 2019
- 2019
- [c1]Dimitrios Kaklis, George Giannakopoulos, Iraklis Varlamis, Constantine D. Spyropoulos, Takis J. Varelas:
A data mining approach for predicting main-engine rotational speed from vessel-data measurements. IDEAS 2019: 14:1-14:10
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