Your English writing platform
Discover LudwigSuggestions(1)
Exact(2)
Post-calibration model prediction and efficiency were deemed satisfactory using standard model performance criteria.
The low number of differentially expressed genes can also be linked to the existence of disparate strategies of resistance (e.g., stealth or repellent) (see Phenotype Prediction and Efficiency of the Approach).
Similar(58)
Comparing with the prediction results of SSM and FEM, the high prediction accuracy and efficiency of NSSM are observed.
Experimental evidence on large-scale real-world QoS data shows that LoNMF is scalable, and consistently outperforming other state-of-the-art applications in prediction accuracy and efficiency.
In addition, a specific example concerning AZD9291, which is a mutant-selective EGFR inhibitor, was conducted to further illustrate the prediction accuracy and efficiency of RD-Metabolizer.
The present study is aimed to evaluate and compare the prediction and simulating efficiency of the response surface methodology (RS M and adaptive Neuro-fuzzy inference system (ANFIS) approaches for modeling the transesterification yield achieved in ultrasonic reactor.
As the graph diffusion kernel (GDK) method provides a good trade-off between performance (assessed by genetic interaction prediction) and computational efficiency, it is likely to be a method of choice.
The routine can account for systematic uncertainties in the background prediction and signal/background efficiencies.
The present study is to evaluate and compare the prediction and simulating efficiencies of response surface methodology (RS M and artificial neural network (ANN) based models on fatty acid methyl esters (FAME) yield achieved from muskmelon oil (MMO) under ultrasonication by two step in situ process.
Due to the quality of their predictions and their efficiency, those models are considered as a suitable tool for surrogate evaluation.
With these different improved Online SVR methods, varies of prediction with different precision and efficiency demands could be fulfilled by an adaptive strategy.
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