Input to the deep learning model and output trajectory.

<p>Input to the deep learning model and output trajectory.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Umar Zaman (19859645) (author)
مؤلفون آخرون:	Junaid Khan (4276162) (author), Eunkyu Lee (5967341) (author), Awatef Salim Balobaid (19859648) (author), R. Y. Aburasain (19859651) (author), Kyungsup Kim (19859654) (author)
منشور في:	2024
الموضوعات:	Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified recurrent neural network models &# 8212 method &# 8217 mean square error mean absolute error maritime traffic safety improvement effectively enhances holds immense significance gated recurrent unit first involves preprocessing experimental results reveal deep learning innovations deep learning algorithms average displacement error automatic identification system rnn ), gru lstm &# 8212 erroneous data points ade ), demonstrates ship trajectory prediction trajectory prediction lstm ), linear ade gru ). fde ), using metrics term memory substantially reduced specific characteristics second focuses robust foundation remove outliers promising advancements predict trajectories paper introduces orderly management next hour extract features environmental conditions contextual information comparative analysis also enriches
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