Increasing numbers of devices that output large amounts of geographically referenced data
are being deployed as the Internet of Things (IoT) continues to expand. Partly as a result of …

Predictive maintenance is one of the most important topics within the Industry 4.0 paradigm.
We present a prototype decision support system (DSS) that collects and processes data from …

Time series data generated by thousands of sensors are suffering data quality problems.
Traditional constraint-based techniques have greatly contributed to data cleaning …

Assessing data quality through Functional Depen-dencies (FDs) is a crucial aspect of data
governance. However, with the diverse range of data sources and the exponential growth in …

This paper proposes a novel evaluation method to address the challenge of evaluating
insulation degradation in power transformer windings based on incomplete online Internet of …

Data dependency mining plays a crucial role in understanding data relationships. To
address the increasing complexities of real-world data, Approximate Functional …

The stochastic structural plane of a rock mass is the key factor controlling the stability of rock
mass. Obtaining the distribution of stochastic structural planes within a rock mass is crucial …

With the rapid development of the Internet of Things (IoT), the growth of the Industrial Internet
of Things (IIoT) applied in the industrial sector has also been swift. However, in practical …

Data-driven modeling of industrial processes is fundamental for predictive maintenance of
key equipment and optimization of process operations, playing a crucial role in ensuring …

Nonprofit executives need to discern how financial ratios influence both organizational
viability and mission fulfillment. Nonprofit organization leaders who fail to understand the …