As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …

Driving safety has been a concern since the first cars appeared on the streets. Driver
inattention has been singled out as a major cause of accidents early on. This is hardly …

Nowadays, many cities have problems with traffic congestion at certain peak hours, which
produces more pollution, noise and stress for citizens. Neural networks (NN) and machine …

The purpose of this research is to present an overview of the progress of Financial
Technology (FINTECH) companies and their integration with the latest cutting-edge …

Smartphones and wearable devices have built-in sensors that can collect multivariant time-
series data that can be used to recognize human activities. Research on human activity …

Electroencephalogram (EEG) has become increasingly popular in driver fatigue monitoring
systems. Several decomposition methods have been attempted to analyze the EEG signals …

Existing visual-based fatigue detection methods usually monitor drivers' fatigue by capturing
their facial features, including eyelid movements, yawn frequency and head pose. However …

Recent developments in solar equipment's have motivated researchers to formulate an
accurate measurement system for solar radiation under varying environment circumstances …

Human cyber-physical production systems (HCPS)-as an extension of cyber-physical
production systems (CPPS)-focus on the human being in the system and the development of …

Since emotions generally affect driver's behavior, judgment, and reaction time, accurately
identifying driver's emotions is of great significance to improve the safety and comfort of …