... adsorption chiller cii machine learning resistance sustainable development ship operation consumption reduction procedure iso Challenges to Taking Advantage of High Frequency Data Analytics to Address Environmental Challenges in Maritime Sector Serafeim Katsikas1 (Serafeim.katsikas@metis.tech...

... including ship particulars, engine and route information among others. Thus, it is also suitable for the validation of tracking information and machine learning or other deterministic algorithms. Additionally, this library will enable the development of a statistically representative ship describing...

... coefficient artificial intelligence prediction application artificial neural network equation upstream oil & gas machine learning chaitanya patil accuracy gerasimo theotokato estimation fourier coefficient data-driven dt information engineering cylinder The 8th International Symposium...

... of accuracy and performance in a real world setting. sustainability europe government air emission neural network freight & logistics services marine transportation deep learning social responsibility machine learning foc voyage procedure foc estimation sustainable development ship...

.... optimization problem machine learning ship united kingdom government optimization hullform optimization europe government resistance design marine transportation artificial intelligence calculation demihull mesh engineering fine marine geometry software equation ship design shipflow...

... to the need of maintenance, the specific component where a problem is detected, the identified fault type, the severity, the expected remaining life within acceptable performance (confidence) limits, etc. Recent advances in sensors and in Machine Learning (ML) methods, have boosted both the fault diagnosis...

... irregularities in the behavior of the ship to reduce its carbon emissions and energy consumption. To achieve this, we propose an architecture for automated data capture, processing, and analysis. The analysis component of this infrastructure leverages machine learning (ML) algorithms for time series data...

... machine learning structural health monitoring implementation united states government complexity artificial intelligence application shm sensor evaluation The 8th International Symposium on Ship Operations, Management & Economics (SOME) 7-8 March 2023, Athens GR Copyright © 2023 Society...

... significantly optimize the ship’s voyage time as well as the ship’s fuel consumption. This low-cost/low-risk solution can be employed today to advance shipping decarbonization. united states government short-term optimal ship routing trajectory marine transportation machine learning author artemis...

... condition. artificial intelligence information mean value neural network time window outlier iso 19030 pavlo karagiannidis some2021 machine learning freight & logistics services marine transportation data-driven ship propulsion modeling virtual event april 2021 speed loss procedure...

... Ariadne (operated by Hellenic Seaways) acts as demonstrative pilot for SOLAS familiarization. instructor information panoramic image athens educational software e-learning platform platform marine transportation machine learning virtual field trip virtual tours educational setting video...

... workings are inspired by supervised machine learning. This paper describes a solution to classify sounds underwater using a classification algorithm. The solution regards identifying the incoming sounds and classifying the sounds in the data library. The used sound samples are real recordings...

... coefficient ann 1 architecture activation function artificial intelligence neural network machine learning marad systematic series systematic series prediction effective power hullform training algorithm greece march 20-21st marine transportation validation resistance coefficient 1...