See how the Swipebox works

{"id":1813,"date":"2024-04-16T07:23:13","date_gmt":"2024-04-16T07:23:13","guid":{"rendered":"https:\/\/dellsigner.com.br\/mcrweb\/?p=1813"},"modified":"2024-10-20T10:36:08","modified_gmt":"2024-10-20T10:36:08","slug":"multiscale-modeling-meets-machine-learning-what","status":"publish","type":"post","link":"https:\/\/dellsigner.com.br\/mcrweb\/2024\/04\/16\/multiscale-modeling-meets-machine-learning-what\/","title":{"rendered":"Multiscale Modeling Meets Machine Learning: What Can We Learn? Archives of Computational Methods in Engineering"},"content":{"rendered":"

\"multi-scale<\/p>\n

Note that ASFCOm,p and ASFRCOm,p stand for the usual ASF and the ASF by reconstruction of order p, respectively, with a disk of radius m as the uniform SE. As regards the filter ASFCOm,pf, it denotes the adaptive ASF of order p using the adaptive SEs with the luminance criterion mapping f and the homogeneity tolerance m. Multiscale decomposition offers an efficient tool for extracting information from an image at different levels of resolution (scales). This type of representation is largely used for image compression, image description, image segmentation, and image registration. Height, weight, BMI, and circumferences (neck, chest, abdominal, and hip circumferences) were recorded at baseline and 6 months post-surgery. Various cognitive assessment scales, including the Hopkins Verbal Learning Test (HVLT) 21, Verbal Fluency Test (VFT) 22, Digit Span Test (DGS) 23, Symbol Digit Modalities Test (SDMT) 24, and Stroop Color and Word Test (SCWT) 25 were multi-scale analysis<\/a> used.<\/p>\n<\/p>\n

scPoli learns joint cell and sample representations<\/h2>\n<\/p>\n