Today, face recognition is the most prevalent and effective mechanism among various
biometric technologies as it is non-invasive method. It helps in identifying or verifying the …

In suspect identification systems, facial features play a crucial role in recognising individuals.
However, the challenge lies in sustaining the accuracy of the system over a long period of …

The facial information of a person has constant invariance, and at the same time, it is an
ideal basis for identifying identity information through differences between different …

This study presents a human identity authentication framework that integrates facial
recognition and biometric scanning, enhancing security and speeding up individual …

From the point of view of the human brain, continual learning can perform various tasks
without mutual interference. An effective way to reduce mutual interference can be found in …

Durante a Persecução Penal, os sistemas de Reconhecimento Facial têm sido cada vez
mais utilizados, pois além da acurácia dos sistemas terem aumentado nos últimos anos …

Palpation is necessary in Traditional Chinese Medicine (TCM). In TCM, doctors need to
touch patient's wrist and exert pressure on it to obtain physiological signal. Locating the …

Plant growth is significantly dependent on roots because roots play a crucial role in water
and nutrient uptake. Traditional convolutional neural network (CNN) models extract binary …

Convolutional Neural Networks (CNN) are being progressively more used in computer
vision for an extensive range of face recognition and detection part. With the growth of deep …