The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to
meet the requirement of all IoT applications. The limited computation and communication …

Abstract Machine learning has recently emerged as a powerful technique to increase
operational efficiency or to develop new value propositions. However, the translation of a …

Cartesian genetic programming, a well-established method of genetic programming, is
approximately 20 years old. It represents solutions to computational problems as graphs. Its …

The purpose of this paper is to review the recent literature regarding the effects of low
temperatures on Lithium ion (Li-ion) batteries for electric vehicle, plug-in hybrid electric …

Brain-inspired Hyperdimensional (HD) computing emulates cognition tasks by computing
with hypervectors rather than traditional numerical values. In HD, an encoder maps inputs to …

Traffic Sign Detection (TSD) is a complex and fundamental task for developing autonomous
vehicles; it is one of the most critical visual perception problems since failing in this task may …

This paper presents a rescheduled dataflow of convolution and its hardware architecture
that can enhance energy efficiency. For convolution involving a large amount of …

Nowdays, DNNs (Deep Neural Networks) are widely used in the field of DDoS attack
detection. However, designing a good DNN architecture relies on the designer's experience …

The performance and efficiency of running large-scale datasets on traditional computing
systems exhibit critical bottlenecks due to the existing “power wall” and “memory wall” …