To improve the feature visualization effect of texture images, a texture image feature enhancement processing method based on visual saliency model is proposed. After collecting texture images, use soft and hard thres...
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At present, the personalized recommendation system based on vehicle portrait has become a research hotspot. the system uses the powerful processing power of the big data platform to deeply mine the multivariate data o...
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Convolutional Random Forest Vision (CRFV) is an innovative technologythat cleverly incorporates Convolutional Neural networks from the field of computer Vision (CV). the Random Forest (RF) algorithm in machine learni...
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Withthe improvement of industrial manufacturing level, there are many kinds of workpieces and complex parameters. Traditional measurement methods are inefficient in the face of new products or different customer need...
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RNA-protein interaction (RPI) play an important role in biological activities. Using deep learning techniques to predict RPI can not only process complex data, but also obtain accurate results. this article first used...
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the direction-of-arrival (DOA) estimation approach utilizing the adaptive nulling array framework has gained widespread attention due to its low complexity. However, in impulsive noise environments, traditional least ...
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Withthe widespread application of remote sensing technology, accurate and rapid detection and identification of targets in remote sensing images have become an important research area. Traditional target detection me...
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Impulse radio ultra-wideband (IR-UWB) radars are increasingly utilized for human fall detection owing to their non-contact, high precision, and high privacy attributes. However, the existing single-branch networks-bas...
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Withthe rapid increase in the number of various types of software, the importance of software quality has become increasingly prominent, and software testing has become an indispensable part of the software developme...
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Withthe rapid development of informationtechnology, the demand for the application of massive temporal data in the military field is gradually increasing. the visualization of time series data in the military field ...
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