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

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

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

A Scalable Distributed and Fault-Tolerant Architecture for Cloud-Based Machine Learning and Data Analysis

Grace Dooshima GBOR, Emmanuel Ogala, Donald Douglas Atsa’am, Iorshashe Agaji

Abstract The rapid growth of data-intensive applications has necessitated the development of scalable and efficient architectures for cloud-based machine learning and data analysis. This study proposes a scalable, distributed, and fault-tolerant architecture designed to address t…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

RAQA-Weather: A Machine Learning-Based Monitoring System for Iran

Abdullah Kaviani Rad

Executive Summary RAQA-Weather is a comprehensive weather intelligence system designed for Iran that combines real-time web scraping, machine learning-based spatial prediction, and interactive visualization. The system processes data from 17 synoptic stations across Iran and gene…Read more

Intelligent Classification of Respiratory Diseases Using Machine Learning-Based Lung Sound Analysis

Tara V K, Varsha S

Respiratory diseases such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, bronchiectasis, bronchiolitis and upper respiratory tract infection (URTI) remain among the leading causes of illness and death worldwide. Conventional diagnosis relies heavily on auscul…Read more