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The chitosan-based CO2 indicator system offer a great potential as a convenient, easy-to-use technique for recognition of unripen packaged kimchi and/or onset of optimal ripening period.
The present research aims to develop a robust technique for recognition of primary and secondary ligatures and their association allowing recognition of the complete ligatures.
The purpose of this article is to introduce a simple ultrasonographic technique for recognition of the aforementioned vessels and to highlight the utility of this finding in clinical practice.
To overcome the basic limitation and application of spectral subtraction technique for recognition tasks, the combination of psychoacoustical masking and critical band variance normalization is effective in minimizing the artifacts without causing distortion to the original speech signal, thereby improving the ASR accuracy.
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Moreover, images are complex multidimensional structures and require solid computing techniques for recognition.
As the rise of pen-enabled interfaces is accompanied with an increased number of techniques for recognition of pen-based input, recent trends in symbol recognition show an escalation in systems complexity (number of features, classifiers combination) or the over-specialization of systems to specific datasets or applications.
We study the effect of above recognition techniques for recognition of phonemes and words in both clean singing and singing separated from polyphonic music.
The present study examines the processes that occur in circumterrestrial space during magnetic perturbations by creating new algorithms and techniques for recognition, analysis, and interpretation of data.
A number of recent studies [16, 22] have employed deep learning-based implicit segmentation techniques for recognition of cursive text leaving it to the classifier to implicitly find segmentation cue points of characters.
The technique allows for recognition of tensile and compressive twin systems within each individual grain.
Here, we show that convolutional neural networks (CNNs -a maCNNs -aearning approach that recently becamachinelearningtechnique for object recognition, humapproachesthattion, and human action recentlyion-were abecame recognize directhe from images whether Drosophileading "on" (stechniquer walking) or "ofor (nobjectphysical contact with) egg-laying substrecognitionachumanme of our videos.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com