… Industrial Internet of Things and machine learning models are inseparable entities for optimal
solutions as far as the industrial … Industrial Internet of Things environment and the machine …

… how open source is used in the Industrial Internet of Things and how the usage of open source
has … the differences between open source usage in different industrial domains through a …

… In this article, we argue that the Industrial Internet of Things (IIoT) offers new opportunities and
… from asset ownership and source manufacturing output by the means of service contracts. …

… 2 where by IIoT devices and industrial data sources generate continuous data streams at
Layer-1 while the edge servers and cloud computing systems empower IIoT applications at …

… At present, the Industrial Internet of Things (IIoT) is an … parameters such as data
sources, machine learning, performance … In addition, we propose an Internet of Things (IoT)-based …

… a mixture of open source, commercial, and proprietary tools, such as the stack in Figure 4. …
machine learning, data mining, and their applications in the industrial Internet of Things. …

… Due to the influence of information fusion in Industrial Internet of Things (IIoT) environments,
there are many problems, such as weak intelligent visual target positioning, disappearing …

… and industrial research. The term industrial IOT evolved when IT is integrated with industrial
… with the insights into an overview of industrial internet of things (IIOT), evolution of IOT, …

… The high diversity of manufacturing equipment, data sources, data … Recent advancements
in Industrial Internet of Things (IIoT) … the Internet of Things (IoT) technologies in the industrial …

… architecture on retrofitting old machines and showing a possible … open source and easily
accessible tools, we achieved a cheaper and flexible alternative to retrofitting legacy machines. …