首页|Study Findings from Aix-Marseille University Broaden Understand- ing of Machine Learning (Beyond Geofencing: Behavior Detection Using Ais)
Study Findings from Aix-Marseille University Broaden Understand- ing of Machine Learning (Beyond Geofencing: Behavior Detection Using Ais)
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NETL
NSTL
Elsevier
Research findings on Machine Learning are discussed in a new report. According to news originating from Marseille, France, by NewsRx correspondents, research stated, "This research paper proposes two different methods for removing biases from geo-spatial trajectories obtained from AIS, enabling the creation of machine learning models that generalize well to areas with no training data." Financial support for this research came from Region SUD, France. Our news journalists obtained a quote from the research from Aix-Marseille University, "We focus here on the task of behavior detection such as moored, underway or drifting from AIS. The first method utilizes data augmentation techniques specifically designed for augmenting geo-spatial trajectories that include angled information such as direction, while the second method is based on engineering features that eliminate these geographical biases." According to the news editors, the research concluded: "These two methods are compared using different types of machine learning models, including random forests, hidden Markov models, LSTMs, and transformer networks."
MarseilleFranceEuropeCyborgsEmerging TechnologiesMachine LearningAix-Marseille University
NETL
NSTL
Elsevier
