Ai Feedback
Exact(8)
The proposed method shows improved tracking performance compared with the existing model free controller in co-simulations.
The comparisons revealed that the proposed method shows improved discharge calculation within 3.8percentt absolute mean error while the traditional method has more than 12.5percentt error.
The method shows improved numerical accuracy and stability properties compared to the direct implicit method with a first-order integration scheme.
In the table, the probabilistic 2-mode based method shows improved performance over the Tucker decomposition based method for small amounts of adaptation data, which can be evidently seen in Figure6 for the Tucker decomposition and probabilistic 2-mode based models with (K R =20,K D =35).
The new method shows improved robustness, accuracy, and power compared to the existing method, msBayes.
Compared to the previous normalization, the method shows improved results for inferring differential expression in simulated and real data.
Similar(52)
Mass-spring simulation with proposed method showed improved performance.
The proposed method showed improved performance compared to the other method[31] (http://www.na.icar.cnr.it/~maddalena.l/MODLab/SoftwareSOBS.html).l/MODLab/SoftwareSOBS.html
Therefore, in the WS and the FT sequences that contained objects whose intensity values were similar to the background regions, the proposed method showed improved performance compared to the other methods.
All single sequence pseudoknot prediction methods show improved results over using RNAfold.
While Bayesian analysis show high posterior probabilities which are difficult to corelate to bootstrap values, the new proposed method show improved real bootstrap values at the splits in question, Fig. 2(A).
Related(14)
method demonstrates improved
approach shows improved
processes shows improved
method shows good
method is improved
method has improved
method ensures improved
method offers improved
method guarantees improved
method yields improved
method gives improved
method shows greater
method shows improvement
method shows large
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