Search alternatives:
larger decrease » marked decrease (Expand Search)
joint decrease » point increase (Expand Search), joint disease (Expand Search), coping decreased (Expand Search)
point decrease » point increase (Expand Search)
large decrease » marked decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
larger decrease » marked decrease (Expand Search)
joint decrease » point increase (Expand Search), joint disease (Expand Search), coping decreased (Expand Search)
point decrease » point increase (Expand Search)
large decrease » marked decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
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A novel RNN architecture to improve the precision of ship trajectory predictions
Published 2025“…However, this model can be time-consuming and can only represent a single vessel track. To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”
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Multiple Knee Points in the Degradation of a Commercial Lithium-ion Battery: A Case Study of the NCM/Graphite System (Supporting Information)
Published 2025“…Especially, a rapid decrease in capacity after the mild degradation period, referred to as the knee point, is often observed, and thus understanding the knee point and its mechanism is a critical issue. …”
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Comparison between FEEMSmix and Locator (a deep-learning based method from [39]) in predicting spatial locations of samples from the wolves data set in a leave-one-out based approa...
Published 2025“…True sample locations are shown as black points and the predicted locations are shown in the color corresponding to each method. …”
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Automated matching and visualisation of magnetic flux leakage data in shale gas pipeline based on ICP and DBSCAN algorithm
Published 2025“…To that end, this study proposes a novel combined model that integrates Iterative Closest Point (ICP) and DBSCAN (Density-Based Spatial Clustering of Applications with Noise) fusion to match multiple MFL data. …”
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