Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

Run times of two algorithms. حسب Gourab Saha (8987405)

الموضوعات:

TreeMap 2016 Forest Type Algorithm (Image Service) حسب U.S. Forest Service (17476914)

"…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>.…"

Sensor value scenario for fuzzy logic algorithm. حسب Gourab Saha (8987405)

الموضوعات:

Sensor value scenario for average value algorithm. حسب Gourab Saha (8987405)

الموضوعات:

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

"…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>.…"

TreeMap 2016 Forest Type Name Algorithm (Image Service) حسب U.S. Forest Service (17476914)

"…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>.…"

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

"…So, we decided to implement the TMM-based algorithm as the first step in the spatial mapping pipeline.…"

Water consumption due to average value and fuzzy logic algorithm. حسب Gourab Saha (8987405)

الموضوعات:

Crop yield prediction accuracy using different ML algorithms. حسب Gourab Saha (8987405)

الموضوعات:

Performance comparison of ICP algorithms. حسب Mengyuan Yan (14200322)

"…We propose an improved LiDAR odometry and mapping with sliding window (LOAM-SLAM) algorithm enables real-time dynamic mapping, while an optimized iterative closest point (ICP) algorithm achieves high-precision point cloud registration and colorization. …"

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). حسب Xiaojun Wang (50332)

الموضوعات:

Performance of different algorithms. حسب Shiwei Yu (6060308)

الموضوعات: "…lightweight detection algorithm…"

Training curves of mAP@0.5 for four optimal models. حسب Hanfei Xie (18208462)

الموضوعات:

Algorithm comparison test results. حسب Hang Ren (1312905)

Algorithm deployment platform build. حسب Jie Wang (16762)

<b>A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention</b> حسب yizong wang (20387247)

"…Experimental results demonstrate that on a dataset comprising 12 diseases and 2 healthy states, the mean Average Precision at IoU 0.50 (mAP50) of this model achieved 97%, with a Precision of 91.5%; these figures reflect improvements of 1.1% and 1.2%, respectively, compared to the original YOLOv8 algorithm. …"

Grid-based assignment diagram. حسب Xingguo Zhang (456808)

"…Finally, based on the results of camera calibration and viewshed analysis, and the orthographic geo-image are generated. The results show that: (1) 3D GIS-GeoC method outperforms the traditional Perspective-n-Point (PnP) algorithm;(2) The tower camera semantic segmentation model (TCSM) achieves an accuracy of 96.7%; (3) ROGI-DS method improves the accuracy and visualization of orthographic geo-image under different terrain constraints, and can be used real-time monitoring of natural resources and emergency reliefs.…"

Image 2_Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models.pdf حسب Benedictor Alexander Nguchu (9984371)

Image 3_Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models.pdf حسب Benedictor Alexander Nguchu (9984371)