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Search Symbol (Half-width) Description of Search Symbols
Space "AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " ) Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" : " image process "
? Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
* Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )
AND、OR、NOT

Boolean logic combinations of key words is a skill used to expand or refine search parameters.
(1) AND (1) AND: Refines search parameters
(2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters

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DOI stands for Digital Object Identifier ( D igital O bject I dentifier ) ,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.

Using DOI as a persistent link

To create a persistent link, add「http://dx.doi.org/」 「 http://dx.doi.org/ 」 before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.

Cite a document with DOI

When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.

DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registrationdoi.airiti.com ) 。

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ACI:

Data Source: Academic Citation Index (ACI)
As Taiwan's largest Citation Index, we currently have on record all Humanities, and Sociology journals that were published in Taiwan. The number of periodicals that are published on a regular basis total around 400 different types. If periodicals that were added to the collection but then halted are counted as well, the number of periodicals total over 500 types. Every year we announce the recorded periodicals' impact factor, etc. to the public, and allow scholars utilize our materials to carry out academic research for free.

Impact Factor: The statistic indicating the average number of times a journal's articles published in the past two years have been cited in the counting year.
Formula: (Number of cites in counting year to articles published in the span of two years ) ÷ (Number of articles published in the span of two years)
Example: The impact factor in 2010 (determined in 2011)
In 2009, Journal A published 15 articles, and these 15 articles were cited 20 times in 2010.
In 2008, Journal A published 16 articles, and these 16 articles were cited 30 times in 2010.
→ →2010's Impact Factor = (20+30) ÷ (15+16) = 1.61 =(20+30)÷(15+16)≒1.61

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What is "Preprint"?

In order to provide readers the forefront academic information, after articles are accepted to publish in the journal, we publish them in network before they're printed. Those "on-line first articles" are called the "preprint articles". The preprint articles do not have volume No., page No., publication date, but can be identified by the DOI number. 「 http://dx.doi.org/ 」 Link to the latest version of the article.

How to cite Preprint Articles?

Please use the online publication date and the DOI number of the preprint article to cite the literature.

Cited example (may vary with different formats you cited):

Author name. Article name. Journal name. YYYY/MM/DD online publish in advance.

doi:DOI Number

Abstract

Abstract

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Chinese/English Abstract :

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Times Cited :

1002-137X, Monthly Periodical,Regular Release

Index Collection: : PKU-北大 , CSTPCD

Title Changes List
All Volumes
Basic Information

Language : Simplified Chinese

Available From: : 2000年 01 期

Engineering> Electrical Engineering

Publisher

重庆西南信息有限公司(原科技部西南信息中心)

中國大陸:重庆

重庆西南信息有限公司(原科技部西南信息中心) Publishing 』

重庆西南信息有限公司(原科技部西南信息中心)
2015年 01期
Total7Pages
Most Recently Published/Page #
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Sort by Ascending Titles
51

一种AP算法的改进:M-AP聚类算法

甘月松江南大学数字媒体学院 无锡214122甘月松陈秀宏陈晓晖

聚类Affinity propagation(AP算法)M-AP合并过程CVM压缩人工智能Clustering algorithmAffinity propagationMerge-APMerge processCVM compressArtificial Intelligence

Abstract Track Track

52

基于朴素贝叶斯的差分隐私合成数据集发布算法

陈旋南京理工大学计算机科学与工程学院 南京210094陈旋刘健冯新淇赵雪美

差分隐私朴素贝叶斯数据发布指数机制人工智能Differential privacyNavie bayesData releaseExponential mechanismArtificial Intelligence

Abstract Track Track

53

基于Bagging-SVM集成分类器的网页作弊检测

唐寿洪西南交通大学信息科学与技术学院 成都610031唐寿洪朱焱杨凡

网页作弊集成分类器特征选择信息熵弱分类器人工智能Web spamIntegrated classifierFeature selectionInformation entropyWeak classifierArtificial Intelligence

Abstract Track Track

54

信息产品质量测量动态衍变模型研究

刘婧西北工业大学管理学院 西安710072刘婧赵嵩正

信息产品质量测量选择关系代数动态衍变人工智能Information productQuality assessment"Selection" relational algebraDynamic developmentArtificial Intelligence

Abstract Track Track

55

面向模块重用的描述逻辑()本地性规则研究

徐德智中南大学信息科学与工程学院 长沙410083徐德智廖晖寰徐连君

本体重用模块抽取描述逻辑()语义本地性句法本地性人工智能OntologyresuingModule extractionDescription logic()Semantic localitySyntactic localityArtificial Intelligence

Abstract Track Track

56

一种动态和自适应公交到站时间预测方法

谢玲苏州大学计算机科学与技术学院 江苏省计算机信息处理技术重点实验室 苏州215006谢玲李培峰朱巧明

公交到站时间实时预测动态预测自适应模型支持向量机波动性统计人工智能Bus arrival timeReal-time predictionDynamic predictionAdaptive modelSVMVolatility statisticsArtificial Intelligence

Abstract Track Track

57

基于一维距离像的弹道中段目标特征提取

赵振冲空军工程大学防空反导学院 西安710051赵振冲王晓丹毕凯邢雅琼

弹道目标一维距离像特征提取人工智能Ballistic targetsHRRPFeature extractionArtificial Intelligence

Abstract Track Track

58

基于搜索引擎的词汇语义相似度计算方法

陈海燕华东政法大学计算机科学与技术系 上海201620

语义相似度信息检索查询建议网络检索人工智能Semantic similarityInformation retrievalQuery suggestionWeb searchArtificial Intelligence

Abstract Track Track

59

基于双极偏好占优的阵列天线优化方法

王丽萍浙江工业大学经贸管理学院 杭州310023浙江工业大学智能信息处理研究所 杭州310023王丽萍林思颖邱飞岳浙江工业大学经贸管理学院 杭州310023浙江工业大学智能信息处理研究所 杭州310023浙江工业大学经贸管理学院 杭州310023浙江工业大学现代教育技术研究所 杭州310023

进化算法阵列天线综合双极偏好占优解集可视化人工智能Evolutionary algorithmsSynthesis of antenna arrayBipolar preferences dominanceVisualizationArtificial Intelligence

Abstract Track Track

60

网络敏感信息自适应多重过滤模型研究

胡传志南通大学计算机科学与技术学院 南通226019 华东师范大学计算机科学技术系 上海200241胡传志程显毅曹小峰南通大学计算机科学与技术学院 南通226019 华东师范大学计算机科学技术系 上海200241南通大学计算机科学与技术学院 南通226019

敏感信息敏感词信息过滤自适应人工智能Sensitive informationSensitive wordInformation filteringAdaptionArtificial Intelligence

Abstract Track Track

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2015年 01期
Total 7 Pages

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