TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Frontiers

Interpretable machine learning for bridge-pier scour prediction and flood resilience

1 Department of Civil and Environmental Engineering, Old Dominion University, Norfolk, VA, United States 2 Department of Engineering Technology, Old Dominion University, Norfolk, VA, United States ...
IEEE

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
IEEE

Comparative Study of Machine Learning and Deep Learning Algorithms for Customer Support Ticket Classification: Evidence From Public and Enterprise Datasets

Abstract: The automation of customer support operations depends on proper ticket classification systems to achieve better operational efficiency and faster response times. The research evaluates eight ...