BOGUS
发表于 2025-3-27 00:30:46
https://doi.org/10.1007/978-3-322-86768-1ormance, we use convolution neural network (CNN) based deep learning method to classify ihomogeneous rock images intelligently. We present the depthwise separable convolution method for rock image classification, which reduces the required parameters compared to normal convolution, and achieves the
赔偿
发表于 2025-3-27 03:56:38
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Merited
发表于 2025-3-27 08:08:31
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GEAR
发表于 2025-3-27 09:48:38
Communications in Computer and Information Sciencehttp://image.papertrans.cn/c/image/229138.jpg
连累
发表于 2025-3-27 16:20:15
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NEX
发表于 2025-3-27 21:28:58
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objection
发表于 2025-3-27 22:24:42
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LAST
发表于 2025-3-28 04:52:02
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贪婪性
发表于 2025-3-28 07:53:58
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Afflict
发表于 2025-3-28 12:34:02
Programme mit globalem Speicher,ipid plaque areas in real-time with better time-efficiency and competitive accuracy during the diagnosis. SSPM is tested on IV-OCT human coronary artery imaging dataset, and the result shows that our method is able to mark suspicious lipid-plaque areas at 91 fps on GPU, or 16 fps on CPU, with an accuracy of 87%.