Dimitrios Kaklis

Orcid: 0000-0003-3151-7371

According to our database1, Dimitrios Kaklis authored at least 6 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2023
Enabling digital twins in the maritime sector through the lens of AI and industry 4.0.
Int. J. Inf. Manag. Data Insights, November, 2023

AI & ΙοΤ-enabled exergy optimization for carbon-neutral ship operation
PhD thesis, 2023

Improving Voyage Efficiency in the Shipping 4.0 Decarbonization Era.
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2023

2022
Online Training for Fuel Oil Consumption Estimation: A Data Driven Approach.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

A big data approach for Fuel Oil Consumption estimation in the maritime industry.
Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

2019
A data mining approach for predicting main-engine rotational speed from vessel-data measurements.
Proceedings of the 23rd International Database Applications & Engineering Symposium, 2019


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