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mapping algorithm » making algorithm (Expand Search), mining algorithm (Expand Search), learning algorithm (Expand Search)
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model algorithm » novel algorithm (Expand Search), modbo algorithm (Expand Search), modeling algorithm (Expand Search)
based mapping » based machine (Expand Search)
data model » data models (Expand Search), data modeling (Expand Search)
mapping algorithm » making algorithm (Expand Search), mining algorithm (Expand Search), learning algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
model algorithm » novel algorithm (Expand Search), modbo algorithm (Expand Search), modeling algorithm (Expand Search)
based mapping » based machine (Expand Search)
data model » data models (Expand Search), data modeling (Expand Search)
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Algorithmic experimental parameter design.
Published 2024“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”
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Model comparison between our model-free algorithm (here MF*) and SARSA.
Published 2024“…<p>SARSA provides a temporal difference update to state-action values for every start-target pair: Q(s,a)←Q(s,a)+α[r+γQ(s′,a′)−Q(s,a)]. We evaluated the models in the data of Experiment 1 and Experiment 2 using AIC and BIC differences and testing if they were different from zero using the Wilcoxon signed-rank test. …”
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Spatial spectrum estimation for three algorithms.
Published 2024“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”
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Comparison of mAP curves in ablation experiments.
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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TreeMap 2016 Forest Type 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-forest-type-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_ForestType_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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Comparison of Point Cloud rigid registration algorithms.
Published 2025“…So, we decided to implement the TMM-based algorithm as the first step in the spatial mapping pipeline.…”
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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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TreeMap 2016 Forest Type Name 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-forest-type-name-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_ForestTypeName_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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Scatter diagram of different principal elements.
Published 2025“…The experimental results show that the SSA-LightGBM model proposed in this paper has an average fault diagnosis accuracy of 93.6% after SSA algorithm optimization, which is 3.6% higher than before optimization. …”
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