UNSW researchers have developed a thermal-aware tracking algorithm that reduces solar module temperatures and UV exposure during inverter clipping and curtailment, slowing degradation without lowering ...
Researchers from the University of Tartu Institute of Physics have developed a novel method for enhancing the quality of three-dimensional images by increasing the depth of focus in holograms fivefold ...
Abstract: This paper examines the applicability of the Bat Algorithm (BA) and its variants as optimization frameworks for various image segmentation paradigms. Rather than introducing a new ...
This project implements a 2D pore-throat network extraction algorithm for porous media images. It uses a modified watershed segmentation approach based on Distance Transform and H-maxima markers to ...
This repository contains a MATLAB-based image processing project focused on leaf segmentation and morphometric analysis. The work was completed as part of the MOD002643 – Image Processing module at ...
External defect detection is a crucial step in Orah mandarin citrus grading. However, in existing defect detection algorithms by image processing, Orah mandarin surfaces exhibit characteristics such ...
Abstract: The Great Wall Construction Algorithm (GWCA) is an innovative meta-heuristic algorithm for solving engineering challenges. Parallel strategies are an effective approach to enhancing the ...
Introduction: Pore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of ...
ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results