Your English writing platform
Discover LudwigSuggestions(1)
Exact(12)
The proposed method is evaluated on three challenging benchmark datasets including MSR Action 3D, KARD, and NTU-RGB+D datasets.
The system is evaluated on three post-cardiac surgery intensive care patients whom had all undergone cardio-pulmonary bypass.
The performance of the suggested technique is evaluated on three open source systems regarding precision and recall metrics.
The proposed method is evaluated on three public bearing datasets, and achieves the average testing accuracies of 99.65%, 99.66% and 99.60% respectively.
The proposed scheme is evaluated on three variants of the two boundary problems by taking different values of nonlinearity operators and constant coefficients.
The proposed OD segmentation method is evaluated on three public available databases, i.e., the MESSIDOR, ONHSD and DRIONS databases, and the experimental results demonstrate that the proposed method outperforms the state-of-the art techniques.
Similar(48)
The proposed method is evaluated on two different SPOT datasets and one RapidEye dataset of stereo images.
Its performance is here quantified using the state drift criterion and the method is evaluated on two distillation column case studies with one, two or more closed loops.
The proposed approach is evaluated on twenty publicly available databases.
The proposed method is evaluated on two image datasets.
The performance of McFIS is evaluated on four regression and eight classification problems.
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