membrane (#4a). Right side: Ig chains with only a tailpiece (#1b) are not integrated into the Golgi membrane (#2b) and instead remain free molecules inside secretory vesicles (#3b). When the vesicle membrane fuses with the plasma membrane, the Ig protein is released as secreted Ig (#4b...
248.1-11 UL248-1.1.1 ScopeThis Part applies to Class J fuses rated 600 A or less and 600 V ac. DC ratings are optional.4 ClassificationClass J Fuses are non-renewable and current-limiting with an interrupting rating of 200,000 A. Class 44、Jfuses are divided into six body sizes with...
Also, you should be aware that due to the different sizes of the permssion blocks for the printed version and authors' version, the page breaks might be different between them. abstract (env.) The environment abstract must precede the \maketitle command. Again, this is different from the ...
1、LOW-VOLTAGE FUSES PART 15: CLASS T FUSESAugust 1, 2000CSA InternationalCSA C22.2 No. 248.15-00Second EditionUnderwriters LaboratoriesInc.UL 248-15Second EditionNational Association ofStandardization andCertification of the ElectricalSectorNMX-J-009/248/15-2000-ANCEFirst EditionCommitment for Amendme...
Table 3. Training time cost and memory consumption of ResNet-18 on various image sizes. 4.6. Ablation Study Ablation experiments are conducted for the trade-off parameter 𝛼α and temperature 𝜏τ, respectively. All the experiments are implemented using ResNet-18 as the backbone. We try ...
In addition, such methods are inadequate for classifying small objects such as streetlights, road signs, and poles if objects of different sizes are present, as in the CamVid dataset. 2.2.2. Deep Feature-Based Methods Several studies have been conducted [1,2,3,4,5,6,7] to overcome the ...
However, most classification datasets (such as facial expression dataset) in real scenes have an uneven distribution of sample sizes between classes, and exhibit a long-tail distribution [32] (a few classes have larger sample sizes and most classes have smaller sample sizes), to some extent, ...
Liu et al. [33] improved the ship detection performance by redesigning the sizes of anchor boxes, predicting the localization uncertainties of bounding boxes, introducing the soft non-maximum suppression, and reconstructing a mixed loss function. Zhao et al. [34] proposed the attention receptive ...
Liu et al. [33] improved the ship detection performance by redesigning the sizes of anchor boxes, predicting the localization uncertainties of bounding boxes, introducing the soft non-maximum suppression, and reconstructing a mixed loss function. Zhao et al. [34] proposed the attention receptive ...
Liu et al. [33] improved the ship detection performance by redesigning the sizes of anchor boxes, predicting the localization uncertainties of bounding boxes, introducing the soft non-maximum suppression, and reconstructing a mixed loss function. Zhao et al. [34] proposed the attention receptive ...