Search alternatives:
sampling algorithm » making algorithm (Expand Search), modeling algorithm (Expand Search), mining algorithm (Expand Search)
elements sampling » client sampling (Expand Search), sediment sampling (Expand Search), element mapping (Expand Search)
cscap algorithm » cc3d algorithm (Expand Search), ipca algorithm (Expand Search), custom algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
sampling algorithm » making algorithm (Expand Search), modeling algorithm (Expand Search), mining algorithm (Expand Search)
elements sampling » client sampling (Expand Search), sediment sampling (Expand Search), element mapping (Expand Search)
cscap algorithm » cc3d algorithm (Expand Search), ipca algorithm (Expand Search), custom algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
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The run time for each algorithm in seconds.
Published 2025“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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The code for sample size calculation.
Published 2025“…We collected basic clinical data and multimodal ultrasound data from these patients as predictive features, with clinical pregnancy as the predictive label, for model training. …”
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Sample augmentation and annotation illustration.
Published 2025“…This study pioneers the detection of pine wilt disease-infected trees in the China’s Qinba Mountain region, where the complex terrain and uneven forest distribution thinder feature extraction of diseased trees. To address data collection challenge, this paper proposes a novel feature recognition and detection method for pine wilt disease-infected trees based on an FLMP-YOLOv8 algorithm. …”
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