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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24Cited by 0

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

Pratheek Mukkavilli, Michelle Medeiros, Rosa Prahl, Xavier‐Lewis Palmer

Code, cleaned matrices, model-comparison outputs, permutation-test outputs, figures, and manuscript artifacts for a comparative analysis of linear and neural-network liver-brain microRNA co-expression models in RRRM-1/RR-8 spaceflight-exposed mice.

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

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…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

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…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

Comparative Analysis of Machine Learning Classification Algorithms and Hybrid Models for Student Performance Prediction

Ms. Pooja C. Soni, Dr. Hetal R. Modi, PC Negi

This study focuses on the analysis and comparison of machine learning classification algorithms and hybrid machine learning models for predicting student academic performance. Educational Data Mining techniques are used to extract meaningful insights from student datasets. Variou…

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