Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …

Deep learning, more specifically deep convolutional neural networks, is fast becoming a
popular choice for computer vision-based automated pavement distress detection. While …

A suitable framework for the development of artificial neural networks is important because it
decides the level of accuracy, which can be reached for a certain dataset and increases the …

The success of deep learning (DL) fostered the creation of unifying frameworks such as
tensorflow or pytorch as much as it was driven by their creation in return. Having common …

This article reviews data representation and latent feature extraction using several types of
constrained AEs. In addition to sparsity, nonnegative RFs can be enforced during learning to …

Over the last ten years, we have seen a strong progression of technology around
smartphones. Each new generation acquires capabilities that significantly increase …

Each new generation of smartphone gains capabilities that increase performance and
power efficiency allowing us to use them for increasingly complex calculations such as Deep …