Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly
detection (AD). With the rapid increase in the number of Internet-connected devices, the …

Crowdfunding is an act of raising funds from the public to support an individual or
organizational project, and the success of crowdfunding projects lies in gaining backers' …

The Industrial Internet of Things (IIoT) integrates smart sensors and actuators for the
widespread digitization and enhancement of industrial and manufacturing processes. Smart …

This paper presents a description of a real-world, multivariate time series dataset collected
from an anonymized engine component (called Component X) of a fleet of trucks from …

Cyber‐physical systems (CPSs) will play an important role in future real‐world applications
through the deep integration of computing, communication, and control technologies. CPSs …

Abstract Anomaly detection in Wireless Sensor Networks (WSNs) is critical for their reliable
and secure operation. Optimizing resource efficiency is crucial for reducing energy …

Recent progress in artificial intelligence (AI) have broadened various intelligent application
scenarios on the Internet of Multimedia Things (IoMT). Due to the urgent demands for …

With rapid progress in ICT, novel concepts like IoT and Industrial IoT,(IIoT) have emerged in
the last decade, where the latter focuses on industrial applications such as manufacturing …

Due to advancements in semiconductor technologies, Internet of Things (IoT) applications
have penetrated into a wide spectrum of aspects of human lives. This widespread …

Accurately pursuing network traffic anomalies is crucial to network maintenance and
management. However, existing methods generally focus on detecting uniformly distributed …