The field of Deep Learning (DL) has seen a remarkable series of developments with
increasingly accurate and robust algorithms. However, the increase in performance has …

Face recognition (FR) is defined as the process through which people are identified using
facial images. This technology is applied broadly in biometrics, security information …

Quantitive information about corneal endothelium cells' morphometry is vital for assessing
cornea pathologies. Nevertheless, in clinical, everyday routine dominates qualitative …

Convolutional Neural Networks (CNN) have brought spectacular improvements in several
fields of machine vision including object, scene and face recognition. Nonetheless, the …

Sažetak Face Recognition (FR) applications are becoming more and more common these
days. Face recognition, techniques, tools, and performance are all shown in this work, along …

Face recognition is one of the interesting research topics in the field of computer vision. In
recent years, deep learning methods, especially the Convolutional Neural Network, have …

Dairy cow face recognition using Neural Networks has several hurdles. For example, there
are only a few instances of each individual. The positions and angles of the individuals in …

This paper presents a comprehensive overview of Convolutional Neural Networks (CNNs) in
the context of face recognition. By analyzing 150 research papers, we investigate major …

Artificial intelligence has many applications in various industries, including agriculture. It can
help overcome challenges by providing efficient solutions, especially in the early stages of …

Individual cattle identification is pivotal for dairy farming, food quality tracing, disease
prevention and control, and registration against fraudulent insurance claims. When …