3 days ago · A sparse point cloud refers to a point cloud dataset that contains a reduced number of points compared to a dense point cloud, often achieved through ...
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Jul 3, 2024 · In this paper, we propose a Cohort-individual Cooperative Learning (CCL) framework to advance cancer survival analysis by collaborating knowledge decomposition ...
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Jul 1, 2024 · However, most RFFI methods show a degradation of performance under low signal-to-noise ratio (SNR) environments. In this paper, we propose a RSBU-LSTM network ...
Missing: regression | Show results with:regression
2 days ago · The study identified plastic shuttering as the optimal solution based on expert evaluations. These findings are intended to enhance managerial understanding of ...
Jul 1, 2024 · This paper describes a method for learning low-dimensional approximations of nonlinear dynamical systems, based on neural network approximations of the ...
Jul 7, 2024 · oscillatory network (LEGION) algorithm and cascaded support vector machine (SVM) classifier. ... A novel image fusion method in multiwavelet domain is proposed in ...
Jun 27, 2024 · The method addresses challenges related to weak vibro-acoustic signal, difficulty in extracting fault features, and low diagnostic accuracy and efficiency.
Missing: regression | Show results with:regression
Jul 6, 2024 · The first embraces an active learning approach that exploits increas- ingly more accurate machine learned force fields to efficiently collect the data needed to ...
Missing: regression | Show results with:regression
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