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书目名称Computer Information Systems and Industrial Management影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0233579<br><br> <br><br>书目名称Computer Information Systems and Industrial Management影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0233579<br><br> <br><br>书目名称Computer Information Systems and Industrial Management网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0233579<br><br> <br><br>书目名称Computer Information Systems and Industrial Management网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0233579<br><br> <br><br>书目名称Computer Information Systems and Industrial Management被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0233579<br><br> <br><br>书目名称Computer Information Systems and Industrial Management被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0233579<br><br> <br><br>书目名称Computer Information Systems and Industrial Management年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0233579<br><br> <br><br>书目名称Computer Information Systems and Industrial Management年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0233579<br><br> <br><br>书目名称Computer Information Systems and Industrial Management读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0233579<br><br> <br><br>书目名称Computer Information Systems and Industrial Management读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0233579<br><br> <br><br>送秋波 发表于 2025-3-21 22:52:52
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Information Density Based Image Binarization for Text Document Containing Graphicsresult if the input image contains only text. Experimental results indicate that this method is particularly good for degraded text document containing graphic images as well. USC-SIPI database is used for testing phase. It is compared with iterative partitioning, Otsu’s method for seven different metrics.衍生 发表于 2025-3-22 12:30:39
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0302-9743 n Systems and Industrial Management, CISIM 2016, held in Vilnius, Lithuania, in September 2016...The 63 regular papers presented together with 1 inivted paper and 5 keynotes in this volume were carefully reviewed and selected from about 89 submissions. The main topics covered are rough set methods f牵索 发表于 2025-3-22 23:02:52
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Attribute Reduction Based on MapReduce Model and Discernibility Measureunting tables are used. The discussed problems are of high computational complexity. Hence the authors propose to use the relevant heuristics, MRCR (.ap.educe .ore and .educt Generation) implemented using the MapReduce model.