Bura, A. and Mung’onya, E. (2026) A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of ...

Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging (DTI) to ...

The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of ...

You can animate images and create dynamic videos using Google's Veo 2 AI model for free. Besides that, Runway lets you turn static images into dynamic videos using its powerful Gen-4 AI model. Finally ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

Abstract: Acne vulgaris, frequent problem encountered by huge population many people’s especially in puberty around the world. Acne images can be pre-classified using machine learning model like SVM ...

Abstract: As a benchmark supervised learning algorithm, support vector machine (SVM) has drawn much attention and reported plenty of impressive results in hyperspectral images (HSIs) classification.