Showing 1 - 20 results of 10,685 for search '(((( based mapping algorithm ) OR ( data modeling algorithm ))) OR ( element method algorithm ))', query time: 0.62s Refine Results
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    Model comparison between our model-free algorithm (here MF*) and SARSA. by Carlos A. Velázquez-Vargas (19751567)

    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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    Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

    Published 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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    Comparison of mAP curves in ablation experiments. by Xiaozhou Feng (2918222)

    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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    Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

    Published 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) by U.S. Forest Service (17476914)

    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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    TreeMap 2016 Stand Size Code Algorithm (Image Service) by U.S. Forest Service (17476914)

    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) by U.S. Forest Service (17476914)

    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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    Comparison of Point Cloud rigid registration algorithms. by Morena Raiola (22439390)

    Published 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. by Jizhong Wang (7441697)

    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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    Model’s measure methods. by Songsong Wang (8088293)

    Published 2025
    Subjects: “…necessitating extensive data…”