Rule-Based Control Studies of LNG–Battery Hybrid Tugboat by Sharul Baggio Roslan, Zhi Yung Tay, Dimitrios Konovessis, Joo Hock Ang, Nirmal Vineeth Menon

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Self-labelling of tugboat operation using unsupervised machine learning and intensity indicator by Januwar Hadi, Dimitrios Konovessis, Zhi Yung Tay

“…This paper aims to develop a self-labelling framework for tugboat operation by using unsupervised machine learning and a proposed intensity indicator. …”
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Big Data Analytics and Machine Learning of Harbour Craft Vessels to Achieve Fuel Efficiency: A Review by Zhi Yung Tay, Januwar Hadi, Favian Chow, De Jin Loh, Dimitrios Konovessis

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Filtering harbor craft vessels’ fuel data using statistical, decomposition, and predictive methodologies by Januwar Hadi, Dimitrios Konovessis, Zhi Yung Tay

“…This paper aims to study the effectiveness of these filtering techniques in filtering noisy data collected from mass flowmeter reading in an unconventional situation i.e., on a tugboat while in operation to measure fuel consumption. …”
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Achieving fuel efficiency of harbour craft vessel via combined time-series and classification machine learning model with operational data by Januwar Hadi, Dimitrios Konovessis, Zhi Yung Tay

“…Subsequently, the k-means clustering groups the tugboat operational data from the same operations (i.e., cruising and towing) for the training of the classification model. …”
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