A team of students from Carnegie Mellon University’s Heinz College of Information Systems and Public Policy investigated whether recycling facilities could effectively sort plastics by the sounds they ...
Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
A new clinical classification scheme is presented, entitled “Acute Pulmonary Embolism Clinical Categories,” with 5 categories (A-E) and subcategories, ranging from low to high risk for adverse ...
Abstract: Road damage is a common issue in large cities, caused by factors such as heavy traffic, rainfall, and inadequate road maintenance. Detecting road damage, such as potholes, cracks, distortion ...
Abstract: The skin is the first organ in the human body, pain and other factors. Lack of knowledge about the types of scabies and not knowing how to prevent it can cause a person to get this skin ...
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 ...
This project builds a multi-class classification model to identify the species of an Iris flower based on its physical characteristics. The model uses Support Vector Machine (SVM) with GridSearchCV ...
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 ...
ABSTRACT: Rapid urbanization and industrial growth reshaped the landscape, making the environment and human life increasingly vulnerable. This study undergoes future land use prediction, which is ...
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