بدائل البحث:
effective implementation » effective prevention (توسيع البحث)
python effective » proven effective (توسيع البحث), 1_the effective (توسيع البحث), 2_the effective (توسيع البحث)
python based » method based (توسيع البحث), person based (توسيع البحث)
effective implementation » effective prevention (توسيع البحث)
python effective » proven effective (توسيع البحث), 1_the effective (توسيع البحث), 2_the effective (توسيع البحث)
python based » method based (توسيع البحث), person based (توسيع البحث)
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141
Bayesian Changepoint Detection via Logistic Regression and the Topological Analysis of Image Series
منشور في 2025"…The method also successfully recovers the location and nature of changes in more traditional changepoint tasks. An implementation of our method is available in the Python package bclr.…"
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142
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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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. …"
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144
Folder with all data and algorithms
منشور في 2025"…In this study, we present an open-source, Python-based computational framework that unifies photon transport modeling, probe geometry optimization, and photothermal safety assessment into a single workflow. …"
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145
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"…</p><p dir="ltr">Data Screening inclusion criteria followed the Food Systems Countdown Initiative (FSCI).2</p><p><br></p><p dir="ltr">diets, nutrition and health</p><p dir="ltr">diet quality, food security, food environments, policies affecting</p><p dir="ltr">food environments</p><p dir="ltr">environment and climate</p><p dir="ltr">land use, greenhouse gas emissions, water use, pollution, biosphere integrity</p><p dir="ltr">livelihoods, poverty, and equity</p><p dir="ltr">poverty and income, employment, social protection, rights</p><p dir="ltr">governance</p><p dir="ltr">shared vision, strategic planning and policies, effective implementation, accountability</p><p dir="ltr">resilience and sustainability</p><p dir="ltr">exposure to shocks, resilience capacities, agrobiodiversity, food security stability</p><p><br></p><p dir="ltr">Findings</p><p dir="ltr">o N=157 policy documents integrate climate change considerations.…"
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146
Contrast enhancement of digital images using dragonfly algorithm
منشور في 2024"…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…"
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147
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.…"
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148
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. …"
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149
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. …"
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150
Table & Figure.pdfBrainwaves and Higher-Order Thinking: An EEG Study of Cognitive Engagement in Mathematics Tasks
منشور في 2025"…Raw and Processed Data</p> <p><br></p> <p>EEG brainwave recordings (raw and preprocessed signals)</p> <p><br></p> <p>Neurofeedback score datasets ( Neuron-Spectrum.NET )</p> <p><br></p> <p>Statistical analysis data (e.g., SPSS, MATLAB, or Python files)</p> <p><br></p> <p>Cognitive achievement test scores and student performance data</p> <p><br></p> <p><br></p> <p><br></p> <p>2. …"
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151
Raw Data EEG.pdfBrainwaves and Higher-Order Thinking: An EEG Study of Cognitive Engagement in Mathematics Tasks
منشور في 2025"…Raw and Processed Data</p> <p><br></p> <p>EEG brainwave recordings (raw and preprocessed signals)</p> <p><br></p> <p>Neurofeedback score datasets ( Neuron-Spectrum.NET )</p> <p><br></p> <p>Statistical analysis data (e.g., SPSS, MATLAB, or Python files)</p> <p><br></p> <p>Cognitive achievement test scores and student performance data</p> <p><br></p> <p><br></p> <p><br></p> <p>2. …"
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152
Online Resource: Reservoir Computing as a Promising Approach for False Data Injection Attack Detection in Smart Grids
منشور في 2025"…</li><li><b>3_literature_analysis_and_mapping.ipynb</b><br>Contains the Python code used for executing the systematic mapping study (SMS), including automated processing of literature data and thematic clustering.…"
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153
RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices
منشور في 2025"…<br><br>## Features<br><br>- **Comprehensive Benchmark**: Curated dataset of Python projects with UML diagrams, descriptions, and structure trees.…"
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154
Data sets and coding scripts for research on sensory processing in ADHD and ASD
منشور في 2025"…</p><h4>Methodology and Techniques</h4><p dir="ltr">Participants completed validated self-report measures: the Adult ADHD Self-Report Scale (ASRS) and the Broad Autism Phenotype Questionnaire (BAPQ). Sensory processing was assessed via a method-of-constant-stimuli orientation discrimination task implemented in PsychoPy, using interleaved adaptive staircases following a one-up/three-down rule.…"
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155
Data and some code used in the paper:<b>Expansion quantization network: A micro-emotion detection and annotation framework</b>
منشور في 2025"…</p><p dir="ltr">GPU:NVIDIA GeForce RTX 3090 GPU</p><p dir="ltr">Bert-base-cased pre-trained model: https://huggingface.co/google-bert/bert-base-cased</p><p dir="ltr">python=3.7,pytorch=1.9.0,cudatoolkit=11.3.1,cudnn=8.9.7.29.…"
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156
Probabilistic-QSR-GeoQA
منشور في 2024"…</p><p dir="ltr">- mln: Markov Logic Network (MLN) implementation of point-based CDC and region-based RCC relations required as input for Probcog and SparQ reasoners (This obtained from the study of [Duckham, M., Gabela, J., Kealy, A., Kyprianou, R., Legg, J., Moran, B., Rumi, S. …"
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157
Leue Modulation Coefficients (LMC): A Smooth Continuum Embedding of Bounded Arithmetic Data
منشور في 2025"…This Zenodo package includes: the full research paper (PDF), a complete Python implementation generating the LMC field and conductivity model, a numerical plot comparing discrete LMC values with the smoothed continuum field, a cover letter and supporting documentation. …"
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158
DataSheet1_Prostruc: an open-source tool for 3D structure prediction using homology modeling.PDF
منشور في 2024"…</p>Methods<p>Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline. …"
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159
DataSheet1_Prostruc: an open-source tool for 3D structure prediction using homology modeling.PDF
منشور في 2024"…</p>Methods<p>Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline. …"
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160
face recognation with Flask
منشور في 2025"…Built using the <b>Flask</b> web framework (Python), this system provides a lightweight and scalable solution for implementing facial recognition capabilities in real-time or on-demand through a browser interface.…"