Integrating Waterborne GPR and Group-Aware Machine Learning to Resolve Lakebed Hydrostratigraphy and Potential Groundwater–Lake Connectivity in a Climate-Stressed Shallow Lake

Cloud-Native Accounting Measurement: A Serverless Machine Learning Architecture for Integrating Climate Risk into Real-Time Equity Valuation

YINKA ADERIBIGBE

The measurement of climate risk and its influence on accounting-based equity valuation has become a critical mandate in empirical financial research. Traditional methodologies utilize log-linear valuation models and historical panel data to observe how investors adjust their rela…Read more

RAQA-AutoML: An Integrated Solution for Automated Machine Learning

Abdullah Kaviani Rad

Overview AutoML-Lite is a powerful, user-friendly desktop application designed to democratize machine learning by automating the entire modeling pipeline. Built with Python and PyQt6, it provides a comprehensive GUI-based environment for data preprocessing, feature engineering, m…Read more

Reproducibility archive for validation-first machine learning interatomic potentials for local lithium energetics in graphene-based battery motifs.

Yuhan Sun, Xiao Huang

Research data supporting "Design Space of Self--Consistent Electrostatic Machine Learning Interatomic Potentials".

William J. Baldwin, Gábor Cśanyi, Ilyes Batatia, Martin Vondrák, Johannes T. Margraf

Chemistry-stratified reliability audit of selective abstention for universal machine-learning interatomic potentials

Zeyu Fu

Version 0.3.0 provides the sanitized, hermetic code and frozen result records supporting the chemistry-stratified selective-abstention analysis. It includes the 32-UIP roster analysis, prototype-blocked confidence intervals, mechanism and sensitivity controls, manuscript sources,…Read more

# Artificial Intelligence-Enabled Quantification of Cube and Goss Textures in Polycrystalline Materials: A Comprehensive Review of Machine Learning, Deep Learning, and EBSD-Based Characterization Approaches

Sudhakar Geruganti

## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Driven Analysis of Cube {100}<001> and Goss {110}<001> Textures: Machine Learning, Deep Learning, and Generative Models for Crystallographic Texture Quantification in Metallurgical Engineering"** ### Alternative T…Read more