Programming efficient asynchronous systems is challenging because it can often be hard to express the design declaratively, or to defend against interleaving-dependent bugs such as data races and ...

Abstract: The application of machine learning in medicine and healthcare has led to the creation of numerous diagnostic and prognostic models. However, despite their success, current approaches ...

Abstract: Deep neural network advancements have led to significant progress in industrial applications, particularly in product recognition for smart automated vending machines (AVMs). This area has ...