بدائل البحث:
based implementation » assess implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
pilot implementation » policy implementation (توسيع البحث), time implementation (توسيع البحث), _ implementation (توسيع البحث)
python based » method based (توسيع البحث), person based (توسيع البحث)
python pilot » method pilot (توسيع البحث), python files (توسيع البحث)
based implementation » assess implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
pilot implementation » policy implementation (توسيع البحث), time implementation (توسيع البحث), _ implementation (توسيع البحث)
python based » method based (توسيع البحث), person based (توسيع البحث)
python pilot » method pilot (توسيع البحث), python files (توسيع البحث)
-
141
Image 1_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif
منشور في 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. …"
-
142
Image 2_Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model.tif
منشور في 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. …"
-
143
Research Database
منشور في 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. …"
-
144
Data and code for: Automatic fish scale analysis
منشور في 2025"…<p dir="ltr">This dataset accompanies the publication:<br><b>"Automatic fish scale analysis: age determination, annuli and circuli detection, length and weight back-calculation of coregonid scales"</b><br></p><p dir="ltr">It provides all essential data and statistical outputs used for the <b>verification and validation</b> of the <i>Coregon Analyzer</i> – a Python-based algorithm for automated biometric fish scale measurement.…"
-
145
Code and data for reproducing the results in the original paper of DML-Geo
منشور في 2025"…</p><p dir="ltr"><b>rslt.pkl</b>: A pickled Python object that stores the explainer based on geoshapley for dataset 1.…"
-
146
Mapping Policy Coherence in National UK Food Systems (2008– 2024): Analysing the Integration of Climate Change Mitigation and Adaptation Strategies, LEAP 2025 conference, Oxford
منشور في 2025"…Van Rossum, G.; Drake, F. L. Python 3 Reference Manual, 2009.</p></td></tr></table><p></p>…"
-
147
Mean Annual Habitat Quality and Its Driving Variables in China (1990–2018)
منشور في 2025"…</p><p dir="ltr">The dataset includes the following files:</p><p dir="ltr">A CSV file containing the mean annual values of the dependent variable (habitat quality) and the independent variables across China from 1990 to 2018, based on the data listed in Table 1.</p><p dir="ltr">(HQ: Habitat Quality; CZ: Climate Zone; FFI: Forest Fragmentation Index; GPP: Gross Primary Productivity; Light: Nighttime Lights; PRE: Mean Annual Precipitation Sum; ASP: Aspect; RAD: Solar Radiation; SLOPE: Slope; TEMP: Mean Annual Temperature; SM: Soil Moisture)</p><p dir="ltr"><br>A Python script used for modeling habitat quality, including mean encoding of the categorical variable climate zone (CZ), multicollinearity testing using Variance Inflation Factor (VIF), and implementation of four machine learning models to predict habitat quality.…"
-
148
IGD-cyberbullying-detection-AI
منشور في 2024"…Models like Logistic Regression, Random Forest, Ensemble Models, CNNs, and LSTMs are implemented to detect patterns from behavioral data.…"
-
149
Code
منشور في 2025"…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …"
-
150
Core data
منشور في 2025"…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …"
-
151
Supplementary Data: Biodiversity and Energy System Planning - Queensland 2025
منشور في 2025"…</p><h2>Software and Spatial Resolution</h2><p dir="ltr">The VRE siting model is implemented using Python and relies heavily on ArcGIS for comprehensive spatial data handling and analysis.…"