Data related to building energy use fuels the research and applications on building energy
efficiency, which is an essential measure to address global energy and environmental …

Mobile and IoT devices have proliferated our daily lives. However, these miniaturized
computing systems should be highly energy-efficient due to their ultrasmall form factor …

Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

In recent years, the introduction and exploitation of innovative information technologies in
industrial contexts have led to the continuous growth of digital shop floor environments. The …

Abstract Industrial Internet of Things (I-IoT) is a network of devices that focus on monitoring
industrial assets and continuously collecting data. This data can be utilized by Machine …

The success of deep learning comes at the cost of very high computational complexity.
Consequently, Internet of Things (IoT) edge nodes typically offload deep learning tasks to …

The excellent accuracy of Recurrent Neural Networks (RNNs) for time-series and natural
language processing comes at the cost of computational complexity. Therefore, the choice …

In the era of beyond 5G technology, it is expected that more and more applications can use
deep neural network (DNN) models for different purposes with minimum inference time …

This paper provides a method for automatically classifying diseases in rice plants by
analyzing photographs of rice leaves. The method uses image processing algorithms to …

The emerging paradigm of edge computing envisions to overcome the shortcomings of
cloud-centric Internet of Things (IoT) by providing data processing and storage capabilities …