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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)
2020年 z2期
Total13Pages
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1

人工智能发展的新方向——人机物三元融合智能

王海涛南京审计大学金审学院 南京210023王海涛宋丽华向婷婷刘力军南京审计大学金审学院 南京210023陆军工程大学指挥控制工程学院 南京210007

人工智能信息物理系统人机物智能三元融合智能普惠计算态势感知人工智能Artificial Intelligence

Abstract Track Track

2

复材车间智能排产系统研究

张伟中国航天系统科学与工程研究院 北京 100048张伟于成龙

复材车间智能排产系统工时计算资源配置人工智能Artificial Intelligence

Abstract Track Track

3

基于CNN-typhoon模型的全球台风报文收集方法研究

韩瑞中国气象局国家气象信息中心 北京 100081 清华大学环境学院 北京 100084韩瑞顾春利李哲伍康高峰沈文海中国气象局国家气象信息中心 北京 100081 清华大学环境学院 北京 100084北京应用气象研究所 北京 100029清华大学精密仪器系 北京 100084北京小鹏汽车有限公司 北京 100084清华大学精密仪器系 北京 100084中国气象局国家气象信息中心 北京 100081

卷积神经网络(CNN)台风报文识别分类收集人工智能Artificial Intelligence

Abstract Track Track

4

基于Lattice LSTM的古汉语命名实体识别

崔丹丹北京信息科技大学计算机学院 北京 100192崔丹丹刘秀磊陈若愚刘旭红李臻齐林

古汉语命名实体识别BiLSTM-CRFLattice LSTM深度学习人工智能Artificial Intelligence

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5

用于文本分类的CNN_BiLSTM_Attention混合模型

吴汉瑜哈尔滨工程大学计算机科学与技术学院 哈尔滨 150001 中电科大数据研究院有限公司提升政府治理能力大数据应用技术国家工程实验室 贵阳 550000吴汉瑜严江黄少滨李熔盛姜梦奇哈尔滨工程大学计算机科学与技术学院 哈尔滨 150001 中电科大数据研究院有限公司提升政府治理能力大数据应用技术国家工程实验室 贵阳 550000中电科大数据研究院有限公司提升政府治理能力大数据应用技术国家工程实验室 贵阳 550000哈尔滨工程大学计算机科学与技术学院 哈尔滨 150001

文本分类关键模式信息全局结构信息混合模型文本表示人工智能Artificial Intelligence

Abstract Track Track

6

基于上下文的情感词向量混合模型

霍丹空军工程大学 西安 710048霍丹张生杰万路军空军工程大学 西安 710048西安理工大学计算机科学与工程学院 西安 710048

自然语言处理词向量语义信息情感分类神经网络人工智能Artificial Intelligence

Abstract Track Track

7

基于RNA-Seq的转录组分析方法

郭茂祖北京建筑大学电气与信息工程学院 北京 100044建筑大数据智能处理方法研究北京市重点实验室 北京 100044郭茂祖杨帅赵玲玲北京建筑大学电气与信息工程学院 北京 100044建筑大数据智能处理方法研究北京市重点实验室 北京 100044哈尔滨工业大学计算机科学与技术学院 哈尔滨 150001

RNA-Seq转录组分析机器学习差异表达分析富集分析人工智能Artificial Intelligence

Abstract Track Track

8

基于结构洞的多数据源融合关键蛋白质识别方法

杨壮山东工商学院计算机科学与技术学院 山东 烟台264005杨壮刘培强费兆杰刘畅山东工商学院计算机科学与技术学院 山东 烟台264005山东省高等学校协同创新中心:未来智能计算 山东 烟台264005

蛋白质相互作用网络结构洞蛋白质复合物关键蛋白质人工智能Artificial Intelligence

Abstract Track Track

9

基于加权划分非平衡决策树的诗歌朗读情感度分析

董本清大连东软信息学院 辽宁 大连 116023董本清李凤坤

非平衡决策树加权划分情感度分析快速收敛人工智能Artificial Intelligence

Abstract Track Track

10

基于深度学习的电网故障预案信息抽取研究

石赫南京航空航天大学计算机科学与技术学院 南京211106石赫杨群刘绍翰李伟南京航空航天大学计算机科学与技术学院 南京211106南瑞集团(国网电力科学研究院)有限公司 南京211106国电南瑞科技股份有限公司 南京211106智能电网保护和运行控制国家重点实验室 南京211106

应急预案深度学习句法分析分析树信息抽取人工智能Artificial Intelligence

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2020年 z2期
Total 13 Pages

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