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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
network algorithm » new algorithm (Expand Search)
element network » alignment network (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)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
network algorithm » new algorithm (Expand Search)
element network » alignment network (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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Image processing algorithm.
Published 2025“…<p>This Matlab file contains all code used to run the image processing algorithm described in Sect <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013425#sec004" target="_blank">2.2</a>.…”
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Data and code resources.
Published 2025“…Decoding from functional magnetic resonance imaging data revealed that solutions from the SF&GPI algorithm were activated on test tasks in visual and prefrontal cortex. …”
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G R code algorithm.
Published 2024“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”
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Code and raw data used in this study.
Published 2024“…<div><p>In semantic image segmentation tasks, most methods fail to fully use the characteristics of different scales and levels but rather directly perform upsampling. …”
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Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4
Published 2025“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …”
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