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

Artificial Intelligence In Pharmaceutical Process Validation: A Review

Taufik Mulla*, Siddheshwar Sonavane, Ayush Tambe, Megha Hange, P. N. Sable

For decades, pharmaceutical process validation has rested on a relatively narrow set of habits: a fixed qualification protocol, a small handful of conformance batches, and a periodic review of trends to argue that manufacturing is operating consistently. That posture is being cha…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

PREDICTING STUDENT ACADEMIC PERFORMANCE USING MACHINE LEARNING ALGORITHMS IN HIGHER EDUCATION

Madaminov Shoxruxbek Ma'rufjon oʻgʻli

This comprehensive study constructs an advanced predictive analytics framework leveraging machine learning algorithms to forecast undergraduate academic performance within higher education institutions. Utilizing empirical student data from a technical institute, including Learni…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