DUBIT
发表于 2025-3-21 19:46:56
书目名称Comecon Foreign Trade Data 1986影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0230130<br><br> <br><br>书目名称Comecon Foreign Trade Data 1986影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0230130<br><br> <br><br>书目名称Comecon Foreign Trade Data 1986网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0230130<br><br> <br><br>书目名称Comecon Foreign Trade Data 1986网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0230130<br><br> <br><br>书目名称Comecon Foreign Trade Data 1986被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0230130<br><br> <br><br>书目名称Comecon Foreign Trade Data 1986被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0230130<br><br> <br><br>书目名称Comecon Foreign Trade Data 1986年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0230130<br><br> <br><br>书目名称Comecon Foreign Trade Data 1986年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0230130<br><br> <br><br>书目名称Comecon Foreign Trade Data 1986读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0230130<br><br> <br><br>书目名称Comecon Foreign Trade Data 1986读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0230130<br><br> <br><br>
大笑
发表于 2025-3-22 00:12:19
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小样他闲聊
发表于 2025-3-22 01:57:22
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peritonitis
发表于 2025-3-22 07:16:30
2947-2199 Overview: 978-1-349-07271-2Series ISSN 2947-2199 Series E-ISSN 2947-2202
分开如此和谐
发表于 2025-3-22 10:14:47
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cutlery
发表于 2025-3-22 16:00:02
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cutlery
发表于 2025-3-22 17:13:38
Hints for the user of Comecon Foreign Trade Data 1986,The information assembled in this pocket-book is arranged, as a rule, in groups of tables, the first table quoting absolute figures and references to the source(s) used. From these, subsequent tables showing ‘average annual growth rates’ and ‘percentages of totals’ are usually derived, the first table in the group being as the main source.
neutral-posture
发表于 2025-3-23 00:37:31
Vienna Institute for Comparative Economic Studies
灾难
发表于 2025-3-23 05:26:49
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瘙痒
发表于 2025-3-23 08:13:44
General High-Pass Convolution: A Novel Convolutional Layer for Image Manipulation Detectioneral High-Pass Convolution achieves better performance than Bayar et al.’s constrained convolutional layer, and can be combined with CNN backbone networks to improve their performance on Image Manipulation Detection, such as VGG and ResNet.