Artificial Intelligence and Machine Learning: From Historical Development to Modern Algorithms

# 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

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…Read more

# Artificial Intelligence in Metallurgical Engineering: A Comprehensive Review of Applications, Challenges, and Future Direction

Sudhakar Geruganti

## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Driven Transformation in Metallurgical Engineering: From Microstructure Analysis to Smart Manufacturing and Sustainable Production"** ### Alternative Title 2 (Process-Focused)**"Machine Learning and Deep Learning…Read more

Benefits and Challenges of Artificial Intelligence (AI) in English Language Learning

Basavva C. Nidagundi

Artificial intelligence has become a paradigmatic shift in education generally, while simultaneously offering individualized experiences in English language learning. A discussion is presented on how AI is being applied in personalized English language learning, while particular…Read more

Also available via: European Organization for Nuclear Research

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

Artificial Intelligence for Supply Chain Optimization and Inventory Management

Mahantesh G. Puranikmath

Artificial intelligence driven supply chain and inventory management enhances accuracy, reduces costs, and improves efficiency by leveraging machine learning, predictive analytics, and computer vision.The artificial intelligence optimizes stock levels, reduces forecasting errors…Read more

Also available via: European Organization for Nuclear Research