Roughness is widely used as a primary measure of pavement condition. It is also the key
indicator of the riding quality and serviceability of roads. The high demand for roughness …

Quality of data services is crucial for operational large-scale internet-of-things (IoT) research
data infrastructure, in particular when serving large amounts of distributed users. Effectively …

Abstract Mobile Edge Computing (MEC) has evolved into a key technology that can
leverage resources of computing, storage and network deployed at the proximity of the …

Consumer electronics such as mobile phones, wearable devices, and vehicle electronics
use many intelligent applications such as voice commands, machine translation, and face …

In recent years, advanced magnetic resonance imaging (MRI) methods including as
functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging …

Automated Machine Learning (AutoML) tools are revolutionizing the field of machine
learning by significantly reducing the need for deep computer science expertise. Designed …

With the development of blockchain, artificial intelligence, and data mining technology,
abnormal network traffic data has become easy to obtain. The traffic detection model detects …

Unsupervised anomaly detection (UAD) of multivariate time series (MTS) aims to learn
robust representations of normal multivariate temporal patterns. Existing UAD methods try to …

The pervasiveness of IoT and embedded devices allows the deployment of services that
were unthinkable only few years ago. Such devices are typically small, run unattended …

A majority of previous methods for multimodal representation learning ignore the rich
correlation information inherently stored in each sample, leading to a lack of robustness …