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In[33 35], an automatic algorithm was proposed to perform background modeling using SVM.
An automatic algorithm was developed for time-resolved segmentation of the endocardial and epicardial borders of the LV covering all ventricular slices from the most basal slices with outflow tract to the apex.
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In this research, a new automatic algorithm is developed to model the existing buildings façade and extract several important parameters for building greening.
Third, the outcome from GraFIX automatic algorithms was compared with that of the two-step approach.
For that reason the use of automatic algorithms was limited and most structures were created under visual control.
Results from these analyses revealed that GraFIX automatic algorithms was the method that more closely matched hand-coding results and that these algorithms alone can be a more reliable technique than other methods, overcoming some of the previous issues detecting fixation in low- and high-quality data.
In order to register the images without an operator's interaction, several automatic algorithms were implemented.
The proposed automatic algorithms are applicable for the analysis of human thermal comfort in various urban designs and climates.
An alternative to using automatic algorithms is to hand-code eye movements on the basis of a visual inspection of the data.
A semi-automatic algorithm is selected for clustering multiple occurrences of high-frequency ligatures (HFLs) extracted from the well-known Urdu Printed Text Images (UPTI) dataset [5].
In this study, automatic alignment algorithm was developed for wafer dicing.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com