Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...
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 ...
Abstract: The main objective of this paper is to improve the accuracy for especial features of ear detection with ear shape images using learning algorithms. Materials and Methods: This paper’s ...