Vessel’s trim optimization using IoT data and machine learning models-Reference-Cited by-同舟云学术

Vessel’s trim optimization using IoT data and machine learning models

Published:2022-07-18 Issue: Volume: Page:
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Container-title:2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)
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Author:

Panagiotakopoulos Theodor¹,Filippopoulos Ioannis²,Filippopoulos Christos³,Filippopoulos Evangelos³,Lajic Zoran⁴,Violaris Antonis⁵,Chytas Sotirios Panagiotis⁶,Kiouvrekis Yiannis²

Affiliation:

1. Hellenic Open University,School of Science and Technology,Greece

2. University of Nicosia,Business School,Cyprus

3. Infralabs LTD,Nicosia,Cyprus

4. Angelicoussis Group,Athens,Greece

5. Cyprus International Institute of Management,Nicosia,Cyprus

6. University, of Thessaly,Department of Electrical and Computer Engineering,Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9903994/9904331/09904361.pdf?arnumber=9904361

Reference15 articles.

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4. Collecting and using vessel's live data from on board equipment using “Internet of Vessels (IoV) platform” (May 2017)

5. Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings

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