UL Class CC fuse version • UL 98 Listed, File E302370, Guide WHTY • cULus to CSA Standard 22.2 No. 4-04, File 302370, Guide WHTY7• CE Compliant UL Midget fuse version • UL 508 Listed • cULus Certified 22.2 No. 14-05• CE Compliant 10X38 IEC Class aM and gG/gL ...
getCcpFtn() A signed integer that specifies the count of CPs in the footnote subdocument. int FibRgLw95AbstractType.getCcpHdd() Get the ccpHdd field for the FibRgLw95 record. int FibRgLw97AbstractType.getCcpHdd() A signed integer that specifies the count of CPs in the header sub...
作为新兴起的、高度灵活的一种机器学习算法,随机森林(Random Forest,简称RF)拥有广泛的应用前景。最近几年的国内外大赛,包括2013年百度校园电影推荐系统大赛、2014年阿里巴巴天池大数据竞赛以及Kaggle数据科学竞赛,参赛者对随机森林的使用占有相当高的比例。本资源包
efuse map #PRODUCT_COPY_FILES += \ # device/softwinner/astar-d7/wifi_efuse_8723bs-vq0.map:system/etc/wifi/wifi_efuse_8723bs-vq0.map PRODUCT_PROPERTY_OVERRIDES += \ dalvik.vm.dex2oat-flags=--no-watch-dog \ dalvik.vm.jit.codecachesize=0 \ ro.am.reschedule_service=true PRODUCT_...
Figure 2. Comparison chart of the random masking experiment. Table 1. Random masking parameters. 3.2. Design a Clip_K5_ ShuffleNet Inverted Residual Structure 3.2.1. Inverted Residual Structure The general standard convolution has two main functions: one is to tune-up the size of the upper laye...
Additionally, skip connections are introduced between input and output nodes to fuse more semantic features without overburdening computation resources. Learnable weights are incorporated to adjust the importance of different input features through weight tuning. The use of both top-down and bottom-up ...
Figure 1 shows the complete flow chart of our proposed method. Suppose that the original hyperspectral data are reshaped to 𝑿=[𝑥1,𝑥2,𝑥3,⋯,𝑥𝑁]∈ℝ𝑘×𝑁X=x1,x2,x3,⋯,xN∈Rk×N, the image contains N pixels (the image size is 𝐻×𝑊H×W, the total numb...
A one-by-one convolution layer is inserted in the shortcut connection to create a long residual connection between different sized layers, making the size of two inputs of the additional layer equal. Figure 3 shows the final architecture of the proposed wide-ShuffleNet. ShuffleNet 1, 5, and ...