New technological advancements in wireless networks have enlarged the number of
connected devices. The unprecedented surge of data volume in wireless systems …

The use of intelligent algorithms for global solar prediction is an ideal tool for research
focused on the use of solar energy. Forecasting solar radiation supports different …

Machine learning models are used today to solve problems within a broad span of
disciplines. If the proper hyperparameter tuning of a machine learning classifier is …

Abstract Machine learning (ML) techniques are often employed for the accurate prediction of
the compressive strength of concrete. Despite higher accuracy, previous ML models failed to …

Wind energy is an important renewable clean energy resource. However, the stochastic and
volatile nature of wind power brings significant challenges to the power system's reliable …

The dynamic nature of the vehicular space exposes it to distributed malicious attacks
irrespective of the integration of enabling technologies. The software-defined network (SDN) …

Autonomous driving is an emerging technology that has advanced rapidly over the last
decade. Modern transportation is expected to benefit greatly from a wise decision-making …

Pavement needs to be maintained from the moment its service life begins. The maintenance
strategy is mainly based on pavement quality indexes, such as the road damage rate (DR) …

Multichannel electroencephalogram (EEG) is an array signal that represents brain neural
networks and can be applied to characterize information propagation patterns for different …

This article primarily focuses on understanding the reasons behind the failure of
undergraduate admission seekers using different machine learning (ML) strategies. An …