بدائل البحث:
model implementation » modular implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
proof implementation » prior implementations (توسيع البحث), pilot implementation (توسيع البحث), pre implementation (توسيع البحث)
python model » python code (توسيع البحث), python tool (توسيع البحث), action model (توسيع البحث)
python proof » method proof (توسيع البحث), python tool (توسيع البحث)
model implementation » modular implementation (توسيع البحث), world implementation (توسيع البحث), time implementation (توسيع البحث)
proof implementation » prior implementations (توسيع البحث), pilot implementation (توسيع البحث), pre implementation (توسيع البحث)
python model » python code (توسيع البحث), python tool (توسيع البحث), action model (توسيع البحث)
python proof » method proof (توسيع البحث), python tool (توسيع البحث)
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221
Research Database
منشور في 2025"…</p><p dir="ltr">Statistical analysis was conducted through <b>multiple regression models</b> implemented in <b>Jamovi</b>, supported by Geographic Information System (GIS) tools to visualize spatial patterns. …"
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222
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.…"
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223
Mean Annual Habitat Quality and Its Driving Variables in China (1990–2018)
منشور في 2025"…</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.…"
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224
IGD-cyberbullying-detection-AI
منشور في 2024"…[<a href="https://doi.org/10.6084/m9.figshare.27266961" rel="nofollow" target="_blank">https://doi.org/10.6084/m9.figshare.27266961</a>]</p><h2>Table of Contents</h2><ul><li><a href="https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI#overview" target="_blank">Overview</a></li><li><a href="https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI#requirements" target="_blank">Requirements</a></li><li><a href="https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI#datasets" target="_blank">Datasets</a></li><li><a href="https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI#installation" target="_blank">Installation</a></li><li><a href="https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI#running-the-code" target="_blank">Running the Code</a></li><li><a href="https://github.com/BryanSJamesDev/IGD-cyberbullying-detection-AI#expected-results" target="_blank">Expected Results</a></li></ul><h2>Overview</h2><p dir="ltr">This repository provides the code for predicting mental health outcomes associated with Internet Gaming Disorder (IGD) and Cyberbullying using machine learning and deep learning models. Models like Logistic Regression, Random Forest, Ensemble Models, CNNs, and LSTMs are implemented to detect patterns from behavioral data.…"
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225
MSc Personalised Medicine at Ulster University
منشور في 2025"…This includes the economic models that underpin big pharma as well the importance of entrepreneurship and small medium enterprises in driving forward healthcare innovation.…"
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226
Landscape Change Monitoring System (LCMS) Conterminous United States Cause of Change (Image Service)
منشور في 2025"…Scikit-learn: Machine Learning in Python. In Journal of Machine Learning Research (Vol. 12, pp. 2825-2830).Pengra, B. …"
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227
Microscopic Detection and Quantification of Microplastic Particles in Environmental Water Samples
منشور في 2025"…Image processing algorithms, implemented in Python using adaptive thresholding techniques, were applied to segment particles from the background. …"
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228
Comprehensive Fluid and Gravitational Dynamics Script for General Symbolic Navier-Stokes Calculations and Validation
منشور في 2024"…It provides a flexible foundation on which theoretical assumptions can be validated, and practical calculations performed. Implemented in Python with symbolic calculations, the script facilitates in-depth analysis of complex flow patterns and makes advanced mathematical computations more accessible. …"
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229
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.…"
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230
Code
منشور في 2025"…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"
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231
Core data
منشور في 2025"…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"