Browsing by Subject "Pattern recognition"
Now showing items 1-7 of 7
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(2016)This work develops a mathematical method to extract relevant information about natural rock textures to address the problem of automatic classification. Classical methods of texture analysis cannot be directly applied in ...
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(Elsevier, 2016)In this paper we propose an automatic volcano event detection system based on Hidden Markov Model (HMM) with state and event duration models. Since different volcanic events have different durations, therefore the state ...
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(IEEE, 2017)We propose and demonstrate a low-cost magnetomechanical fiber micro-positioner for optical coupling, with a square-millimeter working range and a resolution of a few microns per pixel. We demonstrate the functionality ...
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(Elsevier, 2020)Tremendous advances in different areas of knowledge are producing vast volumes of data, a quantity so large that it has made necessary the development of new computational algorithms. Among the algorithms developed, we ...
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(Elsevier, 2015)In this study we applied pattern recognition (PR) techniques to extract odorant information from local field potential (LFP) signals recorded in the olfactory bulb (OB) of rats subjected to different odorant stimuli. We ...
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(Elsevier, 2015)The aim of this research work is to propose a signal processing based technique to classify and estimate bubble sizes. Bubbles are generated by computational fluid dynamics simulations. Local measuring points for velocity ...
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(Elsevier, 2016)Automatic pattern recognition applied to seismic signals from volcanoes may assist seismic monitoring by reducing the workload of analysts, allowing them to focus on more challenging activities, such as producing reports, ...