Class imbalanced datasets are common across different domains including health, security,
banking and others. A typical supervised learning algorithm tends to be biased towards the …

Crash severity is undoubtedly a fundamental aspect of a crash event. Although machine
learning algorithms for predicting crash severity have recently gained interest by the …

Context: The correct prediction of long-lived bugs could help maintenance teams to build
their plan and to fix more bugs that often adversely affect software quality and disturb the …

Long-term effective and accurate wind power potential prediction, especially for wind farms,
facilitates planning for the sustainable development of renewable energy. Accurate wind …

Solar radiation's intermittent and fluctuating nature poses severe limitations for most
applications. Accurate prediction of solar radiation is an essential factor in predicting the …

Technology is constantly changing; what is cutting edge today is obsolete tomorrow. In this
ever-evolving environment, educators, researchers and professionals of the discipline need …

The need for a reliable, unbiased, and objective assessment of hotel location has always
been important. This study presents a new approach to evaluate potential sites for proposed …

Social media plays a significant role in rapid propagation of information when disasters
occur. Among the four phases of disaster management life cycle: prevention, preparedness …

Modern smart grid systems are heavily dependent on Information and Communication
Technology, and this dependency makes them prone to cyber-attacks. The occurrence of a …

The economic costs of white-collar crimes, such as corruption, bribery, embezzlement,
abuse of authority, and fraud, are substantial. How to eradicate them is a mounting task in …