A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to ...

Coactive revolutionizes visual data processing, using AI to automate tagging and search, making unstructured content ...

Louisville has wrestled with inadequate tree canopy, particularly in and near downtown, for decades. Officials say better data will help.

A proposed mixed-initiative approach combines intuitive visualizations with machine learning to tap into the strengths of human and machine classification. The use of visualizations in an ...

in addition to traditional classification techniques like Logistic Regression, Decision Trees, and Support Vector Machines (SVM). In order to evaluate the effectiveness of these machine learning and ...

WA is an image segmentation ... predictions using these multiple decision trees and determines the final prediction result through a voting mechanism (Wu and Zhang, 2019). SVM is a machine learning ...

The objective is to assign additional bits to essential features, thereby ensuring the production of high-quality decoded images, even under conditions of resource-deficient visual communication.