Your English writing platform
Discover LudwigSuggestions(5)
Exact(4)
A considerable amount of research effort has been made in the literature for improving particle filter based methods in terms of both performance and computational efficiency.
Through an extensive simulation study, we show that our quantile regression approach is superior to linear regression based methods in terms of sensitivity and specificity of identifying linear and non-linear DE and DV patterns.
The proteome based comparisons, i.e. the BLAST matrix and pan-genomic analyses, differ somewhat from the base composition based methods, i.e. Markov chain based genomic signatures and codon and amino acid frequencies based methods, in terms of species classification.
The results are summarized in Figure 2. From the ROC curves, we can see that our approach consistently out-performs linear regression based methods in terms of both sensitivity and specificity for both DE and DV detection, regardless of the type and level of noise that is present in the datasets we studied here.
Similar(56)
Experiments performed using both implementations demonstrate a superior performance against the self-organizing map based method in terms of the number of training iterations needed so that the mean square error (i.e. the average distortion) drops to the e−1=36.788% of its initial value.
Additionally, with fewer gateways by 34%, the mobile ferries outperforms the geographical based method in terms of delivery probability.
For pure collagen matrices, the CTAB method was comparable or better than guanidinium thiocyanate-based methods in terms of RNA yield and quality.
The reassignment method is among the best STFT-based methods in terms of efficiency and estimation precision[4, 25].
Comparisons show that it performs significantly better than related model-based methods in terms of SNR gains as well as HIT −FA and STOI scores.
The method provides clear improvements in denoising quality, due to the balanced order or band number, consistently outperforming traditional wavelet transform-based methods in terms of both visual quality and evaluation indicators.
However, network coding, firstly proposed in [14] for noiseless wired networks, allows linear/nonlinear coding of multiple information flows at intermediate nodes, and it greatly outperforms the traditional routing-based methods in terms of the achievable data rates [15].
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