Your English writing platform
Discover LudwigExact(60)
Every mesh node use a load estimation strategy to estimate total traffic load that it needs to forward.
This paper presents a recently developed software, ArcGIS-based Nitrogen Load Estimation Toolkit (ArcNLET), for estimating nitrogen loading from septic systems to surface water bodies.
We compared three load estimation methods (the 7-parameter regression estimator, the ratio estimator, and the flow-weighted average estimator) applied at 1, 2, 4, 6, and 8-week sampling frequencies and 1, 2, 3, and 6-year monitoring durations.
Uncertainty in annual nutrient load estimates increased with increasing sampling interval for all of the load estimation algorithms tested.
Results showed that uncertainty in annual DRP and NO3-N load estimates was influenced by both the sampling interval and the load estimation algorithm.
Only one design parameter is required for the load estimation.
The load estimation is achieved in an indirect manner.
Using more accurate load estimation methods it is also possible to design more cost-effective monitoring plans by achieving the same load estimation accuracy with fewer observations.
An efficient probabilistic fatigue load estimation method for monopile foundations was implemented using Monte-Carlo simulations.
This article investigates the effects of daily load estimation error on system design, cost and reliability.
Consequently, recommendations are articulated regarding the best usage of the available wind load estimation tools.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com