Decision tree is a supervised machine learning algorithm suitable for solving classification
and regression problems. Decision trees are recursively built by applying split conditions at …

Cyber security has recently garnered enormous attention due to the popularity of the Internet
of Things (IoT), intelligent devices' rapid growth, and a vast number of real-life applications …

The classification is one of the main technique of machine learning science. In many
problems, the data sets have a high dimensionality that the existence of all features is not …

The prevalence and burden of mental health disorders are on the rise in conflict zones, and
if left untreated, they can lead to considerable lifetime disability. Following the repeal of …

COVID-19 disease causes serious respiratory illnesses. Therefore, accurate identification of
the viral infection cycle plays a key role in designing appropriate vaccines. The risk of this …

Due to the increased usage of the Internet of Things and heterogeneous distributed devices,
the development of effective and reliable intrusion detection systems (IDS) has become …

Data mining has the most important role in healthcare for discovering hidden relationships in
big datasets, especially in breast cancer diagnostics, which is the most popular cause of …

The use of text data with high dimensionality affects classifier performance. Therefore,
efficient feature selection (FS) is necessary to reduce dimensionality. In text classification …

Direct analysis in real time integrated with high-resolution mass spectrometry (DART-HRMS)
was developed in geographic region (ie, altitude range and province) discriminating …

The detection of intrusions in computer networks, known as Network-Intrusion-Detection
Systems (NIDSs), is a critical field in network security. Researchers have explored various …