Trajectory Mining and Routing: A Cross-Sectoral Approach, Dimitrios Kaklis, Ioannis Kontopoulos, Iraklis Varlamis, Ioannis Z. Emiris, Takis Varelas
Dimitrios Kaklis, Ioannis Kontopoulos, Iraklis Varlamis, Ioannis Z. Emiris, Takis Varelas. Abstract: Trajectory data holds pivotal importance in the shipping industry and transcend theirsignificance in various domains, including transportation, health care, tourism, surveillance, andsecurity. In the maritime domain, improved predictions for estimated time of arrival (ETA) andoptimal recommendations for alternate routes when the weather conditions […]
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.
Dimitrios Kaklis a, Iraklis Varlamis c, George Giannakopoulos b, Takis J. Varelas d, Constantine D. Spyropoulos b a) Department of Informatics and Telematics, Harokopio University of Athens, NCSR Demokritos, Danaos Shipping Co., Omirou 9, Tavros, Athens, 17778, Greece b) Institute of Informatics & Telecommunications, NCSR Demokritos, Patr. Gregoriou E and 27 Neapoleos Str, Agia Paraskevi, […]
From STEAM to Machine: Emissions control in the shipping 4.0 era, Dimitrios Kaklis, Takis J. Varelas, Iraklis Varlamis, Pavlos Eirinakis, George Giannakopoulos, Constantine V. Spyropoulos.
Dimitrios Kaklis1,2,4, Takis J. Varelas1, Iraklis Varlamis2 , Pavlos Eirinakis3 , George Giannakopoulos4, Constantine V. Spyropoulos4 1. Danaos Research Center, 2. Harokopio University of Athens, Department of Informatics and Telematics, 3. Department of Industrial Management & Technology University of Piraeus, Piraeus, Greece, 4. Institute of Informatics & Telecommunications, NCSR Demokritos, Athens, Greece 7-8 March 2023, […]
Time Series Anomaly Detection and Forecasting for Digital Twins in Green Shipping: L. Avgeridis, K. Lentzos, D. Skoutas, I. Emiris | ATHENA Research Center
L. Avgeridis, K. Lentzos, D. Skoutas, I. Emiris 7-8 March 2023, Athens GR Time Series Anomaly Detection and Forecasting for Digital Twins in Green Shipping 2023 Society of Naval Architects and Marine Engineers (SNAME) OnePetro The present paper provides a promising way for the waterborne industry towards decarbonization and emissions reduction is through digitalization and […]
Digital twin for ship life-cycle: A critical systematic review, F. Mauro, A.A. Kana
F. Mauro, A.A. Kana https://doi.org/10.1016/j.oceaneng/ ScienceDirect (2022), 113479 Digital twin for ship life-cycle: A critical systematic review Ocean Engineering 269 (2023) 113479 This paper refers to the focus on digitalisation in manufacturing is spreading to other industry fields, including large and complex objects like ships. Such interest introduces the concept of Digital Twins in supporting designers […]
