The Internet revolution and Moore's Law drove the rapid expansion of connected consumer
electronics. As massive data is generated by Internet of Things (IoT) devices, edge …

Distributed edge intelligence is a disruptive research area that enables the execution of
machine learning and deep learning (ML/DL) algorithms close to where data are generated …

Edge intelligence is a key enabler for IIoT as it offers smart cloud services in close proximity
to the production environment with low latency and less cost. The need for ubiquitous …

As Multi-access Edge Computing (MEC) and 5G technologies evolve, new applications are
emerging with unprecedented capacity and real-time requirements. At the core of such …

Edge networks (ENs) in 5G have the capability to protect traffic between edge entry points
(edge‐to‐edge), enabling the design of various flexible and customizable applications. The …

To obtain a speaker's pronunciation characteristics, a method is proposed based on an idea
from bionics, which uses spectrogram statistics to achieve a characteristic spectrogram to …

This paper presents a wavelet-neural network recognition system for personal fitness
assistance and elderly daily activity monitoring applications. This discrete wavelet transform …

Hepatocellular carcinoma (HCC) is the most common type of liver cancer with a high
morbidity and fatality rate. Traditional diagnostic methods for HCC are primarily based on …

Artificial intelligence (AI) has been widely affecting our lives in many ways for the last ten
years. Potential applications of AI are currently being used in many sectors. However, the …

Deep neural networks have been applied to a wide range of problems in recent years.
Convolutional neural network is applied to the problem of determining the depth from a …