In recent years, information available from multiple data modalities has become increasingly
common for industrial engineering and operations research applications. There have been a …

With the transformation and upgrading of the manufacturing industry, manufacturing systems
have become increasingly complex in terms of the structural functionality, process flows …

Multi-source knowledge fusion is one of the important research topics in the fields of artificial
intelligence, natural language processing, and so on. The research results of multi-source …

The paper enhances deep-neural-network-based inference in sensing applications by
introducing a lightweight attention mechanism called the global attention module for multi …

As the exponential growth of data in internet era, there comes the big data era. Big data
fusion creates huge values that makes it a research hotspot. However, in big data era, data …

Internet-of-Things (IoT) devices generate a vast amount of sensing data. The reliability of this
data is a vital issue to ensure IoT service quality. However, IoT data usually suffers from …

In recent years, significant research efforts have been spent towards building intelligent and
user-friendly IoT systems to enable a new generation of applications capable of performing …

The modern technological advancement influences the growth of the cyber–physical system
and cyber–social system to a more advanced computing system cyber–physical–social …

Big data streams are available across the growing heterogeneous wireless sensor networks,
with characteristics of vast volume and dynamic transmission. Energy efficiency …

While occlusal diseases-the main cause of tooth loss--significantly impact patients' teeth and
well-being, they are the most underdiagnosed dental diseases nowadays. Experiencing …