A large number of intelligent models for masked face recognition (MFR) has been recently
presented and applied in various fields, such as masked face tracking for people safety or …

The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …

Optical machine learning has emerged as an important research area that, by leveraging the
advantages inherent to optical signals, such as parallelism and high speed, paves the way …

A discussão sobre a inteligência das máquinas fragmenta-se em duas posições: os que não
hesitam em demonstrar suas incertezas e aqueles que negam categoricamente a …

Artificial intelligence has been successfully applied in various fields, one of which is
computer vision. In this study, a deep neural network (DNN) was adopted for Facial emotion …

Material extrusion additive manufacturing (AM) has enabled an elegant fabrication pathway
for a vast material library. Nonetheless, each material requires optimization of printing …

Face recognition is a valuable forensic tool for criminal investigators since it certainly helps
in identifying individuals in scenarios of criminal activity like fugitives or child sexual abuse. It …

Face recognition is mainly used in biometric applications, surveillance systems and
computer vision. The major problem while recognizing faces arises due to pose variations …

Eigenface is an algorithm in the principal component analysis (PCA) that is used to
recognize faces. Eigenface used to reduce dimensionality and find the best vector for …

Perimeter security in data centers helps protect systems and the data they store by
preventing unauthorized access and protecting critical resources from potential threats …