For both their theoretical and practical impact, time-delay systems have been an enduring
theme in the study of differential equations, stochastic processes, game theory, and systems …

Object detection, one of the most fundamental and challenging problems in computer vision,
seeks to locate object instances from a large number of predefined categories in natural …

There is an increasing demand for dynamic systems to become more safe and reliable. This
requirement extends beyond the normally accepted safety-critical systems of nuclear …

The graph convolutional networks (GCN) recently proposed by Kipf and Welling are an
effective graph model for semi-supervised learning. This model, however, was originally …

Natural organic matter (NOM) is known to be complex in nature with varying structural and
functional characteristics. In this study, an aquatic NOM was fractionated into the polyphenolic-…

The outbreak of the 2019 novel coronavirus disease (COVID-19) has caused more than
100,000 people infected and thousands of deaths. Currently, the number of infections and …

With the ever-growing water pollution issues, advanced oxidation processes (AOPs) have
received growing attention due to their high efficiency in the removal of refractory organic …

We show that an end-to-end deep learning approach can be used to recognize either English
or Mandarin Chinese speech–two vastly different languages. Because it replaces entire …

The YOLO series has become the most popular framework for real-time object detection
due to its reasonable trade-off between speed and accuracy. However we observe that the …

PubChem ( https://pubchem.ncbi.nlm.nih.gov ) is a public repository for information on
chemical substances and their biological activities, launched in 2004 as a component of the …