Reproducibility package for predictive modeling of spaceflight-induced microRNA co-expression patterns

Reproducibility package for: Validation-Induced Optimism in Machine-Learning Prediction of Concrete Compressive Strength: An Open-Access Methodological Audit and Leakage-Controlled Multi-Dataset Benchmark

Prasanna Jibi Ghimire, Prerana Khatiwada

Reproducibility Package for Explainable and Leakage-Conscious Machine Learning for Athlete Injury Risk Modeling Across Heterogeneous Datasets

Abdülkadir Enes GÖRGÜLÜ, Eray Dursun, Serdar SOLAK

This reproducibility package supports the manuscript “Explainable and Leakage-Conscious Machine Learning for Athlete Injury Risk Modeling Across Heterogeneous Datasets.” It contains the executed and clean analysis notebooks, the corresponding Python script, exact software-version…Read more

Reproducibility package for Explainable and Leakage-Conscious Machine Learning for Supplied Injury-Risk Classification and Longitudinal Athlete Injury Forecasting

Abdülkadir Enes GÖRGÜLÜ, Eray Dursun, Serdar Solak

This record provides the complete reproducibility package for the manuscript “Explainable and Leakage-Conscious Machine Learning for Supplied Injury-Risk Classification and Longitudinal Athlete Injury Forecasting.” Overview The study evaluates explainable and leakage-conscious ma…Read more

Towards Early and Accurate Disease Detection Through Multimodal Predictive Modeling: Fusion of Electronic Health Records, Medical Imaging, And Omics Data Using Interpretable Machine Learning.

Muhammad Ahsan Hayat, Jahangir Baig, Shayan Ahmed, Ahmed Faraz Ayubi

Early detection of disease is a cornerstone for improving patient outcomes, reducing costs, and enabling preventative interventions. Traditional predictive models often rely on a single type of data (e.g., imaging, clinical labs, or genomics). However, human health is inherently…Read more

Also available via: European Organization for Nuclear Research

Development of a NOx Prediction Model for Marine Low-speed Engine

Qinpeng Wang, 胡伟能, Zhenyu Li

This record contains the dataset and trained models supporting the manuscript entitled **"Development of a NOx Prediction Model for Marine Low-speed Engine"**. The dataset was constructed for NOx prediction under four representative load conditions of a marine low-speed engine: 2…Read more

Predictive Modeling of Solar Photovoltaic Power Generation: A Comparative Evaluation of Machine Learning Algorithms Under Volatile Micro-Climatic Conditions

Abdurakhimov Shohzod

The accelerating integration of solar photovoltaic (PV) systems into modern power grids has introduced unprecedented challenges in grid stability due to the stochastic nature of solar irradiance. Accurate short-term power forecasting is a critical operational requirement for ener…Read more