bilinear interpolation operator (Genovis Inc)
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bilinear interpolation operator
Bilinear Interpolation Operator, supplied by Genovis Inc, used in various techniques. Bioz Stars score: 93/100, based on 92 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bilinear+interpolation+operator/OpeRATOR+Lyophilized/10__5194_slash_gmd___18___8313___2025-61-18-20
Average 93 stars, based on 92 article reviews
Bilinear Interpolation Operator, supplied by Genovis Inc, used in various techniques. Bioz Stars score: 93/100, based on 92 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bilinear+interpolation+operator/OpeRATOR+Lyophilized/10__5194_slash_gmd___18___8313___2025-61-18-20
Average 93 stars, based on 92 article reviews
bilinear interpolation operator - by Bioz Stars,
2026-09
93/100 stars
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other:Article Title: Bias correcting regional scale Earth system model projections: novel approach using empirical mode decomposition Article Snippet: Similarly, the 1/16° Article Title: Pulmonary diseases accurate recognition using adaptive multiscale feature fusion in chest radiography Article Snippet: conventional 2D convolutional layers at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal{F}$$\end{document} average pooling with filter size r×r and stride r \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma$$\end{document} denote sigmoid functions “ \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\cdot$$\end{document} ” denotes element-by-element multiplication Up is the Activation Assay:Article Title: RS-SCBiGRU: a noise-robust neural network for high-speed motor fault diagnosis with limited samples Article Snippet: .. Let X denote the features obtained from the initial data convolution; the frequency-adaptive process is expressed by the formula: 12 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{aligned} T_{1}= & \text {Conv}(X) \end{aligned}$$\end{document} 13 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{aligned} T_{2}= & \text {AdaptiveMaxPool}(T_{1}) \end{aligned}$$\end{document} 14 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{aligned} T_{3}= & \text {AvgPool}_r(T_{2}) \end{aligned}$$\end{document} 15 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{aligned} T_{4}= & \text {Up}(\text {Conv}(T_{3})) + T_{2} \end{aligned}$$\end{document} 16 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{aligned} C_{1}= & \sigma (T_{4}) + \text {Conv}(T_{2}) \end{aligned}$$\end{document} Among them, the fault features after convolution adaptive pooling are denoted as \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$T_2$$\end{document} , r represents the receptive field and stride of the pooling layer, UPis a Article Title: RS-SCBiGRU: a noise-robust neural network for high-speed motor fault diagnosis with limited samples. Article Snippet: .. Let X denote the features obtained from the initial data convolution; the frequency-adaptive process is expressed by the formula: T1 =Conv(X) (12) T2 =AdaptiveMaxPool(T1) (13) T3 =AvgPoolr(T2) (14) T4 =Up(Conv(T3)) + T2 (15) C1 =σ(T4) + Conv(T2) (16) Among them, the fault features after convolution adaptive pooling are denoted as T2, r represents the receptive field and stride of the pooling layer, UP() is a |