AN EFFECTIVE STACKED AUTOENCODER BASED DEPTH SEPARABLE CONVOLUTIONAL NEURAL NETWORK MODEL FOR FACE MASK DETECTION

An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection

The COVID-19 pandemic has been infecting the entire world over the past years.To prevent the spread of COVID-19, people have acclimatised Alarms - Pads and Sensors to the new normal, which includes working from home, communicating online, and maintaining personal cleanliness.There are numerous tools required to prepare to compact transmissions in t

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Effect of stimulus dimension on perception and cognition

Stimuli characteristics ha a decisive role in our perception and cognition.In the present study, we aimed to evaluate the effects of dimension of stimuli, two-dimensional (2D) versus three-dimensional (3D), on perception and working memory.In the first experiment, using the method of eye tracking, a higher blink rate, pupil size, and the number of

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