The objective of this research is to report results from a new ensemble method for vegetation classification that uses deep learning (DL) and machine learning (ML) techniques. Deep learning and ...

Abstract: This paper presents nonlinear optimal classification trees, an advanced approach developed to enhance the accuracy and interpretability of classification trees. By integrating kernel-based ...

When extremely low-energy processing is required, the choice of data representation makes a tremendous difference. Each representation (e.g., frequency domain, residue coded, and log-scale) embodies a ...

There was an error while loading. Please reload this page. This project focuses on Iris Flower Classification using traditional Machine Learning techniques ...

Abstract: Classification-Tree Method (CTM) is widely used to generate test cases from functional specifications and is based on the idea of partition testing. Some few works have been done based on ...