Waste generation has been increasing drastically based on the world's population and
economic growth. This has significantly affected human health, natural life, and ecology. The …

According to the American Cancer Society's forecasts for 2019, there will be about 268,600
new cases in the United States with invasive breast cancer in women, about 62,930 new …

Performance metrics (error measures) are vital components of the evaluation frameworks in
various fields. The intention of this study was to overview of a variety of performance metrics …

Distance-based algorithms are widely used for data classification problems. The k-nearest
neighbour classification (k-NN) is one of the most popular distance-based algorithms. This …

Aim/Purpose: The aim of this study was to analyze various performance metrics and
approaches to their classification. The main goal of the study was to develop a new typology …

Machine learning techniques will contribution towards making Internet of Things (IoT)
symmetric applications among the most significant sources of new data in the future. In this …

Geological settings of the Karakoram Highway (KKH) increase the risk of natural disasters,
threatening its regular operations. Predicting landslides along the KKH is challenging due to …

Diabetes is a major public health challenge affecting more than 451 million people.
Physiological and experimental factors influence the accuracy of non-invasive glucose …

This paper reports the development of a practical visible light positioning (VLP) system using
received signal strength. The indoor localization system is accurate and easy to train and …

This article discusses the maize leaf disease image classification. The experimental images
consist of 200 images with 4 classes: healthy, cercospora, common rust and northern leaf …