Performance Analysis of Super-resolution Algorithms. حسب Persiya J. (21743388)

Experimental software and hardware configuration and algorithm initialization parameter settings. حسب Lu Lin (201289)

Consensus process. حسب Jian Yun (19703997)

Code and data - WST 895 thesis حسب Hoosain Ebrahim (14058588)

ATF-DF-WA Algorithm Experimental Code حسب jinhao zhong (20616116)

"…<p dir="ltr">The provided code files serve the following purposes:</p><ul><li><b>Preprocess.py</b> – This script handles text preprocessing tasks, such as cleaning and preparing raw text data for further processing.…"

Trace of custom image processing algorithm with and without Savitzky-Golay filtering of eye coordinate predictions. حسب Willem Lee Weertman (22394833)

UAV image collection process diagram. حسب Hanfei Xie (18208462)

Explained variance ration of the PCA algorithm. حسب Abeer Aljohani (18497914)

الموضوعات:

<b>ODS2 - Dataset of smear microscopy images labelled to evaluate algorithms for bacilli detection</b> حسب Marly G F Costa (19812192)

Data and code for: Automatic fish scale analysis حسب Christian Vogelmann (21646472)

"…</p><h3>Includeed in this repository:</h3><ul><li><b>Raw data files:</b></li><li><code>comparison_all_scales.csv</code> – comparison_all_scales.csv - manually verified vs. automated measurements of 1095 coregonid scales</li></ul><ul><li><ul><li><code>Validation_data.csv</code> – manually measured scale data under binocular</li><li><code>Parameter_correction_numeric.csv</code> – calibration data (scale radius vs. fish length/weight)</li></ul></li><li><b>Statistical results:</b></li><li><ul><li><code>comparison_stats_core_variables.csv</code> – verification statistics (bias, relative error, limits of agreement)</li><li><code>Validation_statistics.csv</code> – summary statistics and model fits (manual vs. automated)</li></ul></li><li><b>Executable script (not GUI):</b></li><li><ul><li><code>Algorithm.py</code> – core processing module for scale feature extraction<br>→ <i>Note: The complete Coregon Analyzer application (incl. …"

Average running times of seven different algorithms. حسب Chaobing Zheng (20896579)

الموضوعات:

SSIM and PSNR of different algorithms for Rain1400. حسب Chaobing Zheng (20896579)

الموضوعات:

Strong-noise pixel denoising process schematic. حسب Haiyan Zhang (176919)

Weak-noise pixel denoising process schematic. حسب Haiyan Zhang (176919)

Extraction process of face feature extraction algorithm based on improved ResNet18. حسب Yingying Mei (13817440)

Additional file 5 of Comparing supervised machine learning algorithms for the prediction of partial arterial pressure of oxygen during craniotomy حسب Andrea S. Gutmann (22179096)

COVID-CT-Rate.zip حسب Nastaran Enshaei (11943785)

الموضوعات:

Performance Metrics Comparison for Various Detection Algorithms. حسب Persiya J. (21743388)

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>.…"

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

"…Additionally, the inference speed increased by 14.6%, fully meeting the real-time requirements for detecting diseases in citrus fields and illustrating the effectiveness and advanced nature of the improved algorithm, thereby providing robust support for the rapid identification of diseases in the citrus cultivation process.…"