Breast cancer is the most lethal type of cancer for all women worldwide. At the moment,
there are no effective techniques for preventing or curing breast cancer, as the source of the …

Recycling and utilization of plastic waste are receiving more and more attention, and the
combination of spectroscopic techniques and machine learning is expected to solve the …

The computational expensiveness of the hydrodynamic models and the complexity of the
rainfall-runoff transformation process presents a pressing need to shift to machine learning …

Abstract Internet of Things (IoT) services and devices have raised numerous challenges
such as connectivity, computation, and security. Therefore, networks should provide and …

An imbalanced dataset consists of a majority class and a minority class, where the former's
sample size is substantially larger than other classes. This difference disrupts the data …

The k-nearest neighbors (k/NN) algorithm is a simple yet powerful non-parametric classifier
that is robust to noisy data and easy to implement. However, with the growing literature on …

Citrus fruit is cultivated globally with a high production every year. However, it is easily
infected by spoilage fungi with toxic metabolites. The mechanism of changes in peel tissues …

Nowadays, machine learning techniques are employed in a wide range of applications,
where classification is a common task in machine learning. It predicts the class label of a …

Nearest neighbor-based methods are classic techniques that, due to their efficiency, still are
widely used today. However, they have not been broadly applied to solve the multi-instance …

Predicting the properties of fuels based on their structures is essential to develop next
generation fuels for various applications, eg, aircraft, rocket, and missile. In this study, an …