Abstract Machine learning has been the corner stone in analysing and extracting information
from data and often a problem of missing values is encountered. Missing values occur …

Nowadays, many deep models have been presented to recognize emotions using
electroencephalogram (EEG) signals. These deep models are computationally intensive, it …

Abstract kNN algorithm, as an effective data mining technique, is always attended for
supervised classification. On the other hand, the previously proposed kNN finding methods …

The goal of securing a network is to protect the information flowing through the network and
to ensure the security of intellectual as well as sensitive data for the underlying application …

Various viral epidemics have been detected such as the severe acute respiratory syndrome
coronavirus and the Middle East respiratory syndrome coronavirus in the last two decades …

Now a day, all the organizations collecting huge volume of data without knowing its
usefulness. The fast development of Internet helps the organizations to capture data in many …

Background Schizophrenia (SZ) is one of the prevalent mental ailments worldwide and is
manually diagnosed by skilled medical professionals. Nowadays electroencephalogram …

Background Alzheimer's disease (AD) is one of the most commonly seen brain ailments
worldwide. Therefore, many researches have been presented about AD detection and cure …

Many instance selection algorithms have been introduced to reduce the high storage
requirements and computation complexity of K-nearest neighbor (K-NN) classification rules …

Supervised machine learning and its algorithms are a developing trend in the prediction of
rockfill material (RFM) mechanical properties. This study investigates supervised learning …