The performance of face recognition algorithms is affected by external factors and internal
subject characteristics. Identifying these aspects and understanding their behaviors on …

Despite the great advances in face-related works in recent years, face recognition across
age remains a challenging problem. The traditional approaches to this problem usually …

Recently, vast attention has grown in the field of computer vision, especially in face
recognition, detection, and facial landmarks localization. Many significant features can be …

To handle the security threat faced by the widespread use of Internet of Things (IoT) devices
due to the ever-lasting increase of malware, the security researchers increasingly rely on …

Multiobjective evolutionary algorithms based on decomposition (MOEA/D) decompose a
multiobjective optimization problem (MOP) into a group of subproblems and optimizes them …

Hyperspectral Image (HSI) classification is one of the fundamental tasks in the field of
remote sensing data analysis. CNN (Convolutional Neural Network) has been proven to be …

We investigate cache technique from the spatial view and study its impact on the relaying
networks. In particular, we consider a dual‐hop relaying network, where decode‐and …

Differential evolution (DE) is an efficient and robust evolutionary algorithm (EA), that has
been widely and successfully applied to solve global optimization problems in diverse real …

A recent challenge in computer vision is exploring the cardinality of a relationship among
multiple visual entities to answer questions like whether the subjects in a photograph have a …

The face recognition (FR) process identifies or confirms a person with the help of images
and videos. The traditional aging FR (AFR) method encounters numerous issues as a result …