بدائل البحث:
modelling algorithm » modeling algorithm (توسيع البحث), processing algorithm (توسيع البحث)
mapping algorithm » making algorithm (توسيع البحث), mining algorithm (توسيع البحث), learning algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
based mapping » based machine (توسيع البحث)
modelling algorithm » modeling algorithm (توسيع البحث), processing algorithm (توسيع البحث)
mapping algorithm » making algorithm (توسيع البحث), mining algorithm (توسيع البحث), learning algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
based mapping » based machine (توسيع البحث)
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Model comparison between our model-free algorithm (here MF*) and SARSA.
منشور في 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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Algorithmic experimental parameter design.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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Simplifying OpenStreetMap Street Networks with Topology Preservation and Clustering
منشور في 2024الموضوعات: "…Geospatial information systems and geospatial data modelling…"
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Comparison of mAP curves in ablation experiments.
منشور في 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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Spatial spectrum estimation for three algorithms.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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TreeMap 2016 Forest Type Algorithm (Image Service)
منشور في 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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TreeMap 2016 Stand Size Code Algorithm (Image Service)
منشور في 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)
منشور في 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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Comparison of Point Cloud rigid registration algorithms.
منشور في 2025"…So, we decided to implement the TMM-based algorithm as the first step in the spatial mapping pipeline.…"
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Scatter diagram of different principal elements.
منشور في 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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Element model generation method with geometric distribution errors
منشور في 2025"…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …"
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