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learning algorithm » learning algorithms (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
image learning » maze learning (Expand Search), aware learning (Expand Search), game learning (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Code and data for the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms"
Published 2025“…<p dir="ltr">Code and data for analysis detailed in the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms." …”
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TreeMap 2016 Stand Size Code Algorithm (Image Service)
Published 2024“…format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/datasets/usfs::treemap-2016-stand-size-code-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_StandSizeCode_Algorithm/ImageServer "> ArcGIS GeoService</a></li></ul><div> For complete information, please visit <a href="https://data.gov">https://data.gov</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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Supplementary file 1_Sentinel-1 (S1) time series alignment method for rapeseed fields mapping.docx
Published 2025“…Introduction<p>This paper presents a comprehensive analysis of rapeseed fields mapping using Sentinel-1 (S1) time series data. We applied a time series alignment method to enhance the accuracy of rapeseed fields detection, even in scenarios where reference label data are limited or not available.…”
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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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Dataset: "A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using SyntheticMR"
Published 2025“…This dataset is repeated for a healthy volunteer and a patient. This data follows the following format:</p><p><br></p><ul><li>Subject-1___healthy-volunteer.zip</li><li><ul><li>ground_truth</li><li><ul><li>Parotid_L_v1.nii</li><li>Parotid_L_v2.nii</li><li>Parotid_L_v3.nii</li><li>Parotid_R_v1.nii</li><li>...…”
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The studies using plain radiographs and deep-learning algorithm for screening.
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Classification results of deep learning algorithms with image features.
Published 2025“…<p>Classification results of deep learning algorithms with image features.</p>…”
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Classification results of machine learning algorithms with image features.
Published 2025“…<p>Classification results of machine learning algorithms with image features.</p>…”
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