Application of digital twins and metaverse in the field of fluid machinery pumps and fans: A review
Digital twins technology (DTT) is an application framework with breakthrough rules. With the
deep integration of the virtual information world and physical space, it becomes the basis for …
deep integration of the virtual information world and physical space, it becomes the basis for …
Data Science application for failure data management and failure prediction in the oil and gas Industry: A case study
In the industrial domain, maintenance is essential to guarantee the correct operations,
availability, and efficiency of machinery and systems. With the advent of Industry 4.0 …
availability, and efficiency of machinery and systems. With the advent of Industry 4.0 …
[HTML][HTML] Predicting and managing risk interactions and systemic risks in infrastructure projects using machine learning
A Moussa, M Ezzeldin, W El-Dakhakhni - Automation in Construction, 2024 - Elsevier
Infrastructure projects often encounter performance challenges, such as cost overruns and
safety issues, due to complex risk interactions and systemic risks. Existing literature treats …
safety issues, due to complex risk interactions and systemic risks. Existing literature treats …
Development of an optimization model for a monitoring point in tunnel stress deduction using a machine learning algorithm
X Tan, W Chen, L Wang, W Ye - Deep Underground Science …, 2024 - Wiley Online Library
Monitoring of the mechanical behavior of underwater shield tunnels is vital for ensuring their
long‐term structural stability. Typically determined by empirical or semi‐empirical methods …
long‐term structural stability. Typically determined by empirical or semi‐empirical methods …
A novel high-dimensional sensor calibration framework integrating thermodynamic laws in complex HVAC systems
Accurate calibration of sensors is critical for ensuring energy efficient operation of Heating,
Ventilation, and Air Conditioning (HVAC) systems in buildings. Due to the high …
Ventilation, and Air Conditioning (HVAC) systems in buildings. Due to the high …
Utilizing Knowledge Bases in Filtering IoT Data to Predict Algal Blooms
The proliferation of algal blooms in aquatic habitats has emerged as a matter of worldwide
significance, owing to their consequential ecological and economic ramifications …
significance, owing to their consequential ecological and economic ramifications …