Sentence examples for monitoring modeling and from inspiring English sources
The need for a better understanding on the microbiology under electrochemical stimulation and the future requirements on process monitoring, modeling and evaluation protocols and field investigations are highlighted.
For the industrial application of bioreactors, bioreactor scale-up, multiscale study, and bioprocess monitoring, modeling and simulation are also very important.
Recent natural disasters indicate that modern technologies for environmental monitoring, modeling, and forecasting are not well integrated with cross-level social responses in many hazard-management systems.
In methodological dimension, linking mapping with monitoring, modeling, and managing can accelerate integrated and sustainable use of soil and water resources.
It is our hope that DUET-H/WQ contributes to making uncertainty estimation a routine data collection and reporting procedure and thus enhances environmental monitoring, modeling, and decision-making.
Within the conceptual framework of Complex Systems, we discuss the importance and challenges in extracting and linking multiscale objects from high-resolution remote sensing imagery to improve the monitoring, modeling and management of complex landscapes.
The report found current investment in monitoring, modelling and reporting was "not enough to adequately measure" water quality across the 2,300km long reef.
Teluguntla, P. et al. In Land Resources: Monitoring, Modelling, and Mapping, Remote Sensing Handbook Vol. 2 Ch. 7 (CRC Press, 2015).
At SPS, Ray He secured a risk analysis internship in the investment management field by specializing in calibrating production models, establishing monitoring models, and calculating portfolios' Value at Risk (VaR).
Since its inception in 1992, the iC database has been used for various real-time applications such as air quality and noise monitoring, modelling and forecasting.
Over the past decade, multivariate statistical process control (MSPC) methods have been proven, in the process industries, to be an effective tool for process monitoring, modelling and fault detection.
