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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
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data code » data model (Expand Search), data came (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
experimental based » experimental case (Expand Search), experimental basis (Expand Search), experiments based (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Data Sheet 1_Semantic composition of robotic solver algorithms on graph structures.pdf
Published 2025Subjects: “…Artificial Intelligence and Image Processing…”
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Dual deconvolution algorithm: analysis code with experimental data
Published 2025“…It incorporates virtual structured illumination microscopy (SIM) and computational adaptive optics to achieve super-resolution imaging. The package includes comprehensive algorithm implementations and data to facilitate the broader adoption of dual-deconvolution in deep-tissue imaging applications.…”
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<b>A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention</b>
Published 2024“…Lastly, an efficient detection head was constructed to accelerate the inference process. Experimental results demonstrate that on a dataset comprising 12 diseases and 2 healthy states, the mean Average Precision at IoU 0.50 (mAP50) of this model achieved 97%, with a Precision of 91.5%; these figures reflect improvements of 1.1% and 1.2%, respectively, compared to the original YOLOv8 algorithm. …”
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Algorithm parameter settings employed in the experiments on simulated data.
Published 2024Subjects: -
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Performance of algorithms outside the training species.
Published 2024“…Each Venn diagram of the top panel shows an overlap between predicted (left circles, colour-coded based on the algorithms used) and experimentally verified organelle proteomes (right circles, grey). …”
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A framework for improving localisation prediction algorithms.
Published 2024“…<p>Strategies to improve prediction reliability involve changes in the curation of the training data as well as the training procedure. The training data should ideally be collected from a range of diverse species and for each be based on different experimental techniques that support a training protein’s localisation (e.g. reporters, mass spectrometry, coexpression, interactions). …”
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