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Takis Varelas

Takis J. Varelas

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Journal Articles

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2023
[j2]
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  - journals/ijinfomandi/KaklisVGVS23
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  - https://dblp.org/rec/journals/ijinfomandi/KaklisVGVS23
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)
2013
[j1]
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  - journals/interfaces/VarelasADTLV13
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  - https://dblp.org/rec/journals/interfaces/VarelasADTLV13
Takis Varelas, Sofia Archontaki, John Dimotikalis, Osman Turan, Iraklis Lazakis, Orestis Varelas:
Optimizing Ship Routing to Maximize Fleet Revenue at Danaos. Interfaces 43(1): 37-47 (2013)

Conference and Workshop Papers

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2023
[c5]
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  - conf/sose/VarelasKVF23
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Takis J. Varelas, Dimitrios Kaklis, Iraklis Varlamis, Artemis Flori:
Improving Voyage Efficiency in the Shipping 4.0 Decarbonization Era. SOSE 2023: 191-198
2022
[c4]
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  - conf/bigdataservice/KaklisEGSVV22
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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
[c3]
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  - conf/mdm/KaklisVGSV22
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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
2020
[c2]
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  - conf/bigdataservice/VarelasP20
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Takis Varelas, Stathis Plitsos:
Real-Time Ship Management through the Lens of Big Data. BigDataService 2020: 142-147
2019
[c1]
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  - conf/ideas/KaklisGVSV19
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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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