Digital twin: Enabling technologies, challenges and open research
Digital Twin technology is an emerging concept that has become the centre of attention for
industry and, in more recent years, academia. The advancements in industry 4.0 concepts …
industry and, in more recent years, academia. The advancements in industry 4.0 concepts …
[HTML][HTML] Current status, challenges, and prospects of data-driven urban energy modeling: A review of machine learning methods
Urban energy modeling is essential in planning electricity generation and efficiently
managing electric power systems. Various urban energy models were developed for several …
managing electric power systems. Various urban energy models were developed for several …
Big data quality: A survey
With the advances in communication technologies and the high amount of data generated,
collected, and stored, it becomes crucial to manage the quality of this data deluge in an …
collected, and stored, it becomes crucial to manage the quality of this data deluge in an …
Similarity-measured isolation forest: Anomaly detection method for machine monitoring data
A rough environment or unexpected accident of data acquisition instrument can introduce
some anomalies in monitoring data. Those anomalies reduce data quality and lead to the …
some anomalies in monitoring data. Those anomalies reduce data quality and lead to the …
Big data quality framework: a holistic approach to continuous quality management
Big Data is an essential research area for governments, institutions, and private agencies to
support their analytics decisions. Big Data refers to all about data, how it is collected …
support their analytics decisions. Big Data refers to all about data, how it is collected …
Evaluating the quality of social media data in big data architecture
A Immonen, P Pääkkönen, E Ovaska - Ieee Access, 2015 - ieeexplore.ieee.org
The use of freely available online data is rapidly increasing, as companies have detected
the possibilities and the value of these data in their businesses. In particular, data from …
the possibilities and the value of these data in their businesses. In particular, data from …
Big data validation and quality assurance--issuses, challenges, and needs
With the fast advance of big data technology and analytics solutions, big data computing and
service is becoming a very hot research and application subject in academic research …
service is becoming a very hot research and application subject in academic research …
An incorrect data detection method for big data cleaning of machinery condition monitoring
X Xu, Y Lei, Z Li - IEEE Transactions on Industrial Electronics, 2019 - ieeexplore.ieee.org
The presence of incorrect data leads to the decrease of condition-monitoring big data
quality. As a result, unreliable or misleading results are probably obtained by analyzing …
quality. As a result, unreliable or misleading results are probably obtained by analyzing …
Trends, technologies, and key challenges in smart and connected healthcare
Cardio Vascular Diseases (CVD) is the leading cause of death globally and is increasing at
an alarming rate, according to the American Heart Association's Heart Attack and Stroke …
an alarming rate, according to the American Heart Association's Heart Attack and Stroke …
Exploring big data traits and data quality dimensions for big data analytics application using partial least squares structural equation modelling
The popularity of big data analytics (BDA) has boosted the interest of organisations into
exploiting their large scale data. This technology can become a strategic stimulation for …
exploiting their large scale data. This technology can become a strategic stimulation for …