In the modern era, deep learning techniques have emerged as powerful tools in image
recognition. Convolutional Neural Networks, one of the deep learning tools, have attained …

Automatic identity recognition from ear images is an active research topic in the biometric
community. The ability to secretly acquire images of the ear remotely and the stability of the …

In remote sensing applications and medical imaging, one of the key points is the acquisition,
real-time preprocessing and storage of information. Due to the large amount of information …

Cooperative machine learning has many applications, such as data annotation, where an
initial model trained with partially labeled data is used to predict labels for unseen data …

Activation functions are crucial in deep learning networks, given that the nonlinear ability of
activation functions endows deep neural networks with real artificial intelligence. Nonlinear …

Since the beginning of the COVID-19 pandemic, students around the world have seen their
schooling completely disrupted. Their teachers had to reorganize in a hurry to be able to …

Drowsiness is a major risk factor for road safety, contributing to serious injury, death, and
economic loss on the road. Driving performance decreases because of increased …

Since mid-March 2020, due to the COVID-19 pandemic, higher education has been facing a
very uncertain situation, despite the hasty implementation of information and communication …

In this paper, we propose a new methodology for crack detection and monitoring in concrete
structures. This approach is based on a multiresolution analysis of a sample or a specimen …

Crop diseases have a significant impact on plant growth and can lead to reduced yields.
Traditional methods of disease detection rely on the expertise of plant protection experts …