A data mining approach for predicting main-engine rotational speed from vessel-data measurements. - Dimitrios Kaklis; George Giannakopoulos; Iraklis Varlamis; Constantine D. Spyropoulos; Takis J. Varelas (IDEAS, 2019)

A big data approach for Fuel Oil Consumption estimation in the maritime industry. - Dimitrios Kaklis; Pavlos Eirinakis; George Giannakopoulos; Constantine D. Spyropoulos; Takis J. Varelas; Iraklis Varlamis (BigDataService, 2022)

Online Training for Fuel Oil Consumption Estimation: A Data Driven Approach. - Dimitrios Kaklis; Iraklis Varlamis; George Giannakopoulos; Constantine D. Spyropoulos; Takis J. Varelas (MDM, 2022)

Improving Voyage Efficiency in the Shipping 4.0 Decarbonization Era. - Takis J. Varelas; Dimitrios Kaklis; Iraklis Varlamis; Artemis Flori (SOSE, 2023)

AI & ΙοΤ-enabled exergy optimization for carbon-neutral ship operation - Dimitrios Kaklis (2023)

Enabling digital twins in the maritime sector through the lens of AI and industry 4.0. - Dimitrios Kaklis; Iraklis Varlamis; George Giannakopoulos; Takis J. Varelas; Constantine D. Spyropoulos (Int. J. Inf. Manag. Data Insights, 2023)