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files implementation » time implementation (Expand Search), pilot implementation (Expand Search), assess implementation (Expand Search)
python based » method based (Expand Search), person based (Expand Search)
files implementation » time implementation (Expand Search), pilot implementation (Expand Search), assess implementation (Expand Search)
python based » method based (Expand Search), person based (Expand Search)
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181
Microscopic Detection and Quantification of Microplastic Particles in Environmental Water Samples
Published 2025“…Image processing algorithms, implemented in Python using adaptive thresholding techniques, were applied to segment particles from the background. …”
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182
Image 1_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif
Published 2025“…LR, SVM, and AdaBoost algorithms were implemented using Python to build the models. In the training set, the accuracies of the LR, SVM, and AdaBoost models were 79.4, 84.0, and 80.9%, respectively; the sensitivities were 74.1, 74.1, and 81.0%, respectively; the specificities were 83.6, 91.8, and 80.8%, respectively; and the AUC values were 0.837, 0.886, and 0.900, respectively. …”
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183
Image 2_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif
Published 2025“…LR, SVM, and AdaBoost algorithms were implemented using Python to build the models. In the training set, the accuracies of the LR, SVM, and AdaBoost models were 79.4, 84.0, and 80.9%, respectively; the sensitivities were 74.1, 74.1, and 81.0%, respectively; the specificities were 83.6, 91.8, and 80.8%, respectively; and the AUC values were 0.837, 0.886, and 0.900, respectively. …”
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184
Research Database
Published 2025“…Data were processed using <b>Python-based automation scripts</b> for scraping, cleaning, geocoding, and calculating geodesic distances between each property and the nearest community garden. …”
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185
Compiled Global Dataset on Digital Business Model Research
Published 2025“…</p><p dir="ltr">For the modeling component, annual publication growth is projected from 2025–2034 using a logistic growth model (S-curve) implemented in Python. Outputs include both CSV tables and PNG charts that depict historical trends and forward-looking projections. …”
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186
Data&Codes.zip
Published 2025“…</p><p dir="ltr">To facilitate the widespread use of the proposed framework, we have implemented it as the <b><i>ESLocalIndi</i></b> open-source package in Python, making it easily accessible to geographers. …”
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187
<b>Altered cognitive processes shape tactile perception in autism.</b> (data)
Published 2025“…The perceptual decision-making setup was controlled by Bpod (Sanworks) through scripts in Python (PyBpod, https://pybpod.readthedocs.io/en/latest/). …”
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188
Shadowed Realities: An Investigation of UI Attacks in WebXR - Research Artifacts
Published 2025“…</li><li>The <b>metrics_estimation_library folder</b> contains the complete set of scripts required to extract these metrics. These are implemented using Python. The entry point to the scripts is main_analysis.py. …”