曲解 发表于 2025-3-28 18:02:13
W. A. Freundon technologies provide the means for obtaining images with resolution containing both structural and elemental information. Despite the development of new acquisition techniques and hardware, selecting an appropriate imaging solution for a research problem remains a critical issue for sedimentary r门闩 发表于 2025-3-28 19:00:25
W. A. Freundt of tools for addressing image quantification problems is now available and helps solve problems in quantitative sedimentology, such as in the analysis of grains, matrices and porous networks..Nevertheless a sound use of the technique requires better education and a wider circulation of the mathemaGRUEL 发表于 2025-3-29 00:53:09
W. A. Freundth their associated amplitudes) constituting the original signal, but does not keep the spatial information: it is possible to determine the elementary bricks that compose the signal, but not the way they are ordered along the signal. This limitation of the method has been noticed by Gabor (1946) wh使满足 发表于 2025-3-29 06:03:29
http://reply.papertrans.cn/59/5832/583136/583136_44.png赔偿 发表于 2025-3-29 10:13:27
W. A. Freundth their associated amplitudes) constituting the original signal, but does not keep the spatial information: it is possible to determine the elementary bricks that compose the signal, but not the way they are ordered along the signal. This limitation of the method has been noticed by Gabor (1946) whCarcinoma 发表于 2025-3-29 15:12:30
http://reply.papertrans.cn/59/5832/583136/583136_46.pnginsolence 发表于 2025-3-29 17:07:13
W. A. Freundhe old, aged patients. The risk of picking up infections may increase at the time of visit that patients make to the hospitals. The application of technology such as the “Internet of Things (IoT)” based on Fog Computing and Cloud Computing turned out to be capable of intensifying the healthcare qualPARA 发表于 2025-3-29 20:09:22
http://reply.papertrans.cn/59/5832/583136/583136_48.png背信 发表于 2025-3-30 03:04:31
W. A. Freundcommon foreground and the remaining regions (backgrounds) in the image set, but yet in an unsupervised framework. First a method to find the dominant mode in the high dimensional feature space of image superpixels is explained. The superpixels having features in close proximity to the computed mode背带 发表于 2025-3-30 05:41:15
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