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Jinwan Park and Jung-Sik Jeong
According to the statistics of maritime collision accidents over the last five years (2016?2020), 95% of the total maritime collision accidents are caused by human factors. Machine learning algorithms are an emerging approach in judging the risk of colli...
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Munekazu Motoyoshi and Yoshiki Nishi
This study estimated the amount of bilge water spilled from ships during normal operation and identified the contributing factors of the discharge by building a statistical model. To build the statistical model, we collected as much information as possib...
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Andrea Ruggieri, Francesco Stranieri, Fabio Stella and Marco Scutari
Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations. BN parameter learning from incomplete da...
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Tom Burr, Andrea Favalli, Marcie Lombardi and Jacob Stinnett
Radioisotope identification (RIID) algorithms for gamma-ray spectroscopy aim to infer what isotopes are present and in what amounts in test items. RIID algorithms either use all energy channels in the analysis region or only energy channels in and near i...
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Bilal Hammoud, Fabien Ndagijimana, Ghaleb Faour, Hussam Ayad and Jalal Jomaah
In this paper, we present a probabilistic approach which uses nadir-looking wide-band radar to detect oil spills on rough ocean surface. The proposed approach combines a single-layer scattering model with Bayesian statistics to evaluate the probability o...
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