Deep Learning (DL) has recently become a topic of study in different applications including
healthcare, in which timely detection of anomalies on Electrocardiogram (ECG) can play a …

Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …

The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …

Driver distraction diverting drivers' attention to unrelated tasks and decreasing the ability to
control vehicles, has aroused widespread concern about driving safety. Previous studies …

The drowsiness of the driver and rash driving are the major causes of road accidents, which
result in loss of valuable life, and deteriorate the safety in the road traffic. Reliable and …

Personal identification method using the Electrocardiogram (ECG) signal is an active
research area since the ECG signal cannot be forged and can be acquired without active …

Accurate sea-level forecasting is crucial for navigation, engineering and coastal
conservation. One of the major obstacles in obtaining accurate sea-level data, both at …

Vision technologies are used in both industrial and smart city applications in order to provide
advanced value products due to embedded self-monitoring and assessment services. In …

Electromyogram (EMG) signals cannot be forged and have the advantage of being able to
change the registered data as they are characterized by the waveform, which varies …

Driving risk assessment is important to guide the actions, states and behaviours of drivers for
the prevention of road incidents or accidents. With the widespread of sensors constantly …