In recent times, with the advancement of digital imaging, automatic facial recognition has
been intensively studied for adults, while less for neonates. Due to the miniature facial …

With the digital age ushering in an unprecedented proliferation of malware, accurately
attributing these malicious software variants to their original authors or affiliated groups has …

Background Reliable localization and tracking of the eye region in the pediatric hospital
environment is a significant challenge for clinical decision support and patient monitoring …

Detection and segmentation of faces from an image is a crucial problem that has gained
importance, face detection and segmentation play the main role in the face recognition …

Face detection from a digital image or video stream is used often for various purposes. But
sometimes a system detects an object or area as a face where there is no face at all. This …

This paper proposes a face detection algorithm of combining skin color segmentation and
AdaBoost algorithm. The algorithm set up the skin Gaussian model in YCbCr color space …

Integration of skin color property in face detection algorithm is a recent trend to improve
accuracy. The existing skin color matching techniques are illumination condition dependent …

Edge computing has emerged as an innovative paradigm, promising to reshape the
landscape of computational processing by bringing data closer to the source of generation …

Recently, human skin color property incorporation is considered a way to improve face
detection. There are different skin color matching techniques and each individual one is …

Federated Learning (FL) has emerged as a transformative paradigm in machine learning,
advocating for decentralized, privacy-preserving model training. This study provides a …