The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Current rates of species loss triggered numerous attempts to protect and conserve
biodiversity. Species conservation, however, requires species identification skills, a …

Application of the benefits of modern computing technology to improve the efficiency of
agricultural fields is inevitable with growing concerns about increasing world population and …

Aims Taxon identification is an important step in many plant ecological studies. Its efficiency
and reproducibility might greatly benefit from partly automating this task. Image-based …

Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of
attention in both academia and industry. Detection techniques have a significant impact on …

Abstract Recently, Faster Region-based Convolutional Neural Network (Faster R-CNN) has
achieved marvelous accomplishment in object detection and recognition. In this paper …

Medicinal plants have always been studied and considered due to their high importance for
preserving human health. However, identifying medicinal plants is very time-consuming …

The foundation of effectively predicting plant disease in the early stage using deep learning
algorithms is ideal for addressing food insecurity, inevitably drawing researchers and …

For performing multi-class classification, deep neural networks almost always employ a One-
vs-All (OvA) classification scheme with as many output units as there are classes in a …

Introduction Chronic kidney damage is routinely assessed semiquantitatively by scoring the
amount of fibrosis and tubular atrophy in a renal biopsy sample. Although image digitization …