Edge computing has emerged as a promising computing paradigm that enables real-time
data processing and analysis closer to the data source and boosts decision-making …

The advent of technologies such as 5G makes it possible to improve the availability and
quality of existing services and introduce new ones, such as enhanced mobile broadband …

The Industry 4.0 revolution has been made possible via AI-based applications (eg, for
automation and maintenance) deployed on the serverless edge (aka fog) computing …

The LoRaWAN infrastructure has been designed to allow easy implementation of backends
in mixed IoT scenario with both on premise and cloud servers. Some very popular providers …

The COVID-19 pandemic has necessitated profound changes in the business and
technology landscapes, compelling organizations to reassess their Enterprise Resource …

Deploying end‐to‐end ML applications on edge resources becomes a viable solution to
achieve performance and data regulations. With the microservice architecture, these …

With the rapid development of the Internet of Things (IoT), terminal-edge-cloud collaborative
computing (TECC), a hierarchical distributed computing model, has become an effective …

As the field of robotics evolves, robots become increasingly multi-functional and complex.
Currently, there is a need for solutions that enhance flexibility and computational power …

Abnormality detection of power generation equipment is of great significance in enhancing
equipment reliability. In the era of Industry 4.0, with the rapid development and extensive …

Industry 4.0 paradigm has merged OT and IT domains, increasing the requirements to
capture, storage, visualize and analyze industrial data. Furthermore, companies monitoring …