Emotion recognition has gained prominence in diverse applications ranging from safe
driving and e-commerce to healthcare. Traditional approaches have often relied on single …

Identification technology based on biometrics is a branch of research that employs the
unique individual traits of humans to authenticate identity, which is the most secure method …

Stress is one of the most severe concerns in modern life. High-level stress can create
various diseases or loss of focus and productivity at work. Being under stress prevents …

Abstract Surveillance Systems Application based on deep learning algorithms is speedily
growing in a broad range of fields such as Facial Recognition, Real Time Attendance …

Deep convolutional neural networks are often used for image verification but require large
amounts of labeled training data, which are not always available. To address this problem …

Masks cover most areas of the face, resulting in a serious loss of facial identity information;
thus, how to alleviate or eliminate the negative impact of occlusion is a significant problem in …

Facial recognition using deep learning techniques is now a rapidly growing and widely
applied aspect of real-time surveillance systems with broad range of applications in every …

Connected autonomous vehicles (CAVs) currently promise cooperation between vehicles,
providing abundant and real-time information through wireless communication technologies …

Due to its non-interfering nature, face recognition has been the most suitable technology for
designing biometric systems in recent years. This technology is used in various industries …

This paper proposes a new approach to pixel-level fusion using the opposite frequency from
the discrete wavelet transform with Gaussian or Difference of Gaussian. The low-frequency …