بدائل البحث:
model implementation » modular implementation (توسيع البحث), time implementation (توسيع البحث), policy implementation (توسيع البحث)
world implementation » policy implementation (توسيع البحث), _ implementation (توسيع البحث)
python model » python code (توسيع البحث), python tool (توسيع البحث), action model (توسيع البحث)
python world » python tool (توسيع البحث)
model implementation » modular implementation (توسيع البحث), time implementation (توسيع البحث), policy implementation (توسيع البحث)
world implementation » policy implementation (توسيع البحث), _ implementation (توسيع البحث)
python model » python code (توسيع البحث), python tool (توسيع البحث), action model (توسيع البحث)
python world » python tool (توسيع البحث)
-
181
Curvature-Adaptive Embedding of Geographic Knowledge Graphs in Hyperbolic Space
منشور في 2025"…/CAH-GKGE/model/supplementary instruction.md </p>…"
-
182
Supplementary Material
منشور في 2025"…The supplementary material includes the full Python-based implementation of the AI-driven optimization framework described in the manuscript. …"
-
183
A Hybrid Ensemble-Based Parallel Learning Framework for Multi-Omics Data Integration and Cancer Subtype Classification
منشور في 2025"…<p dir="ltr">The code supports replication of results on TCGA Pan-cancer and BRCA datasets and includes data preprocessing, model training, and evaluation scripts:<br>Python scripts for data preprocessing and integration</p><ul><li>Autoencoder implementation for multimodal feature learning</li><li>Hybrid ensemble training code (DL/ML models and meta-learner)</li><li>PSO and backpropagation hybrid optimization code</li><li>Parallel execution scripts</li><li>Instructions for replicating results on TCGA Pan-cancer and BRCA datasets</li></ul><p></p>…"
-
184
NanoDB: Research Activity Data Management System
منشور في 2024"…Cross-Platform Compatibility: Works on Windows, macOS, and Linux. In a Python environment or as an executable. Ease of Implementation: Using the flexibility of the Python framework all the data setup and algorithm can me modified and new functions can be easily added. …"
-
185
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.…"
-
186
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.…"
-
187
A Fully Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture
منشور في 2025"…QUANTISENC’s software-defined hardware design methodology allows the user to train an SNN model using Python and evaluate performance of its hardware implementation, such as area, power, latency, and throughput. …"
-
188
Leveraging explainable causal artificial intelligence to study forest gross primary productivity dynamics in China's protected areas
منشور في 2025"…<p dir="ltr">A Python script used for modeling forest GPP in China´s Protected Areas, including mean encoding of the categorical variable climate zone (CZ), multicollinearity testing using Variance Inflation Factor (VIF), implementation of four machine learning models to predict forest GPP, XAI and causality analysis.…"
-
189
Fast, FAIR, and Scalable: Managing Big Data in HPC with Zarr
منشور في 2025"…</p><p dir="ltr">In this work, we apply the scientific datacube model to the transformation of large-scale radar datasets from Colombia and the U.S. …"
-
190
Investigating the far-right online: Using text data to understand online subcultures
منشور في 2025"…While these analytical techniques are new, they are actually fairly easy for social researchers to implement due to the nature of contemporary high-level programming languages such as Python.…"
-
191
PTPC v1.0 Numerical Baseline: Stable Multi-Bounce Cosmology Simulation
منشور في 2025"…PTPC v1.0 Numerical Baseline: Stable Multi-Bounce Cosmology Simulation This release provides the complete, reproducible numerical implementation of the Parry Tensional Phase Collapse (PTPC) model — the dynamic core of the Universal Heartbeat Theory (UHT/PTPC). …"
-
192
Soulware-Lite
منشور في 2025"…It supports OpenAI GPT-4, Anthropic Claude, Google Gemini, Meta LLaMA, and other open-source models.</p><p><br></p><p dir="ltr">Soulware-Lite is the first live implementation of a cognitive conscience layer, born from architectural failures in AI output hallucination and anchored by integrity principles like MAP/ARP and RDIP. …"
-
193
Table 3_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx
منشور في 2025"…Nomogram construction, ROC analysis, and DCA evaluation were performed to assess model performance. Statistical analyses were conducted using Python and R, with significance set at p < 0.05.…"
-
194
Table 2_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx
منشور في 2025"…Nomogram construction, ROC analysis, and DCA evaluation were performed to assess model performance. Statistical analyses were conducted using Python and R, with significance set at p < 0.05.…"
-
195
Table 1_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx
منشور في 2025"…Nomogram construction, ROC analysis, and DCA evaluation were performed to assess model performance. Statistical analyses were conducted using Python and R, with significance set at p < 0.05.…"
-
196
Data Sheet 1_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx
منشور في 2025"…Nomogram construction, ROC analysis, and DCA evaluation were performed to assess model performance. Statistical analyses were conducted using Python and R, with significance set at p < 0.05.…"
-
197
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. …"
-
198
Summary of Tourism Dataset.
منشور في 2025"…The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
-
199
Segment-wise Spending Analysis.
منشور في 2025"…The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"
-
200
Hyperparameter Parameter Setting.
منشور في 2025"…The implementation uses Python language on a tourism dataset comprising necessary attributes like visitor numbers, days, spending patterns, employment, international tourism samples over a specific region, and a diverse age group analyzed over a year. …"