Cardiovascular disease (CVD) is a general term for a series of heart or blood vessels
abnormality that serves as a global leading reason for death. The earlier the abnormal heart …

Abstract Machine learning (ML) methods have demonstrated impressive performance in
many application fields such as autopilot, facial recognition, and spam detection …

Recently, significant accuracy improvement has been achieved for acoustic recognition
systems by increasing the model size of Long Short-Term Memory (LSTM) networks …

Recent work demonstrated the promise of using resistive random access memory (ReRAM)
as an emerging technology to perform inherently parallel analog domain in-situ matrix …

Machine learning, particularly deep learning, is being increasing utilised in space
applications, mirroring the groundbreaking success in many earthbound problems …

The memristor crossbar array has emerged as an intrinsically suitable matrix computation
and low-power acceleration framework for DNN applications. Many techniques such as …

The high computation and memory storage of large deep neural networks (DNNs) models
pose intensive challenges to the conventional Von-Neumann architecture, incurring sub …

Recent research demonstrated the promise of using resistive random access memory
(ReRAM) as an emerging technology to perform inherently parallel analog domain in-situ …

On the road to making self-driving cars a reality, academic and industrial researchers are
working hard to continue to increase safety while meeting technical and regulatory …

In this article, we examine cloud–edge–terminal Internet of Things (IoT) networks, where
edges undertake a range of typical dynamic scheduling tasks. In these IoT networks, a …