ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Junior faculty are often told to protect their time, but nobody provides instructions for how to do so. As an assistant professor at a public university, I have struggled to balance my course load, my ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Decision trees are a powerful tool for decision-making and predictive analysis. They help organizations process large amounts of data and break down complex problems into clear, logical steps. Used in ...

ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

This repository contains code for "Automatic Induction of Neural Network Decision Tree Algorithms". To appear in Computing Conference 2019. Advances in Intelligent Systems and Computing.

Abstract: Fuzzy decision tree is generally considered as an extension of crisp decision tree. The algorithms used in fuzzy decision tree induction are often the extended form of those used in crisp ...