In current years, drowsy driver detection is the most necessary procedure to prevent any
road accidents, probably worldwide. The aim of this study was to construct a smart alert …

Healthcare industry contains very large and sensitive data and needs to be handled very
carefully. Diabetes Mellitus is one of the growing extremely fatal diseases all over the world …

As the complex driving scenarios bring about an opportunity for application of deep learning
in safe driving, artificial intelligence based on deep learning has become a heatedly …

Buses and heavy vehicles have more blind spots compared to cars and other road vehicles
due to their large sizes. Therefore, accidents caused by these heavy vehicles are more fatal …

IoT or Internet of Things is breakthrough advancement in technology that aids
interconnectivity among intelligent devices and machines and helps reduce human …

Customershaveawiderangeoftelecomservic… industryandswitchingfromoneservicetoother…
[2], increasedcustomerchurnisalwaysamajorco… today [3]. Theaccuracyratealsomakesustoknowaboutt …

Electroencephalography (EEG) is a reliable method for identifying the onset of sleepiness
behind the wheel. Using EEG technology for driving fatigue detection still presents …

A microsleep is an unintentional, transient loss of consciousness correlated with sleep that
lasts up to fifteen seconds. Electroencephalogram (EEG), recordings have been extensively …

The tremendous development of digital technology, it is mandatory to address the security
while transmitting information over network in a way that observer couldn't depict it …

Road accidents are pervasive and prove to be fatal. The presented paper deals with the
construction and working of a device for obstacle detection. Obstacle detection is a …