首页 > 最新文献

International Journal of Advances in Soft Computing and its Applications最新文献

英文 中文
Improving the Performance of Heat Exchanger System 提高换热器系统的性能
Q3 Computer Science Pub Date : 2020-05-09 DOI: 10.36478/ijscomp.2019.77.85
R. Singla
{"title":"Improving the Performance of Heat Exchanger System","authors":"R. Singla","doi":"10.36478/ijscomp.2019.77.85","DOIUrl":"https://doi.org/10.36478/ijscomp.2019.77.85","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"21 1","pages":"77-85"},"PeriodicalIF":0.0,"publicationDate":"2020-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81781779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Pragmatic Assessment of Occurrence of Brain Cancer with Incidence Levels using Collaborative Big Data Mining Techniques 基于协同大数据挖掘技术的脑癌发病水平的实用评估
Q3 Computer Science Pub Date : 2020-04-29 DOI: 10.36478/ijscomp.2019.61.67
Syed Rizwan, V. M. Kuthadi, R. Selvaraj
: The major objective of this research is to identify the presence of brain cancer along with the incidence levels of beginning stage to advanced stage using collaborative analysis of big data and data mining techniques. The dataset collected from secondary sources had few errors and rectified using preprocessing techniques in MATLAB. Further, the testing dataset is processed with k-means algorithm to form cluster analysis and identify the presence of brain cancer in three levels of well, fair and poor levels using degree of difference between the normal and cancer cells in brain. The algorithm is modified according to the needs of the medical analysis of the current dataset. The results indicates the presence of brain cancer in various three levels under cluster values of initial stage (54%), Curable stage (38%) and incurable stage (8%), respectively. The accuracy of prediction is 93.4% and the error identification is 9.3% whereas the sensitivity and specificity accounts to 0.8 and 0.7, respectively. Hence, further analysis is conducted in tableau big data tool and the sheets with story boards are formed. This research indicates the occurrence of brain cancer is influenced by gender and age factors along with regular activities and streams. Thus, brain cancer is considered as one of the challenging prediction as the cell contains mixed patterns with variations according to gender and age of human beings.
本研究的主要目的是利用大数据和数据挖掘技术的协同分析来确定脑癌的存在以及早期到晚期的发病率水平。从二手来源收集的数据集误差很小,并在MATLAB中使用预处理技术进行了校正。进一步,利用k-means算法对测试数据集进行处理,形成聚类分析,利用大脑正常细胞与癌细胞之间的差异程度,识别出良好、一般和差三个水平的脑癌存在。根据当前数据集医学分析的需要,对算法进行了改进。结果表明,在初始阶段(54%)、可治愈阶段(38%)和不可治愈阶段(8%)的聚类值下,脑癌的存在程度不同。预测准确率为93.4%,识别误差为9.3%,敏感性和特异性分别为0.8和0.7。因此,在tableau大数据工具中进行进一步分析,形成带有分镜的表格。这项研究表明,脑癌的发生受性别和年龄因素以及规律的活动和溪流的影响。因此,脑癌被认为是具有挑战性的预测之一,因为细胞中含有混合模式,并根据人类的性别和年龄而变化。
{"title":"Pragmatic Assessment of Occurrence of Brain Cancer with Incidence Levels using Collaborative Big Data Mining Techniques","authors":"Syed Rizwan, V. M. Kuthadi, R. Selvaraj","doi":"10.36478/ijscomp.2019.61.67","DOIUrl":"https://doi.org/10.36478/ijscomp.2019.61.67","url":null,"abstract":": The major objective of this research is to identify the presence of brain cancer along with the incidence levels of beginning stage to advanced stage using collaborative analysis of big data and data mining techniques. The dataset collected from secondary sources had few errors and rectified using preprocessing techniques in MATLAB. Further, the testing dataset is processed with k-means algorithm to form cluster analysis and identify the presence of brain cancer in three levels of well, fair and poor levels using degree of difference between the normal and cancer cells in brain. The algorithm is modified according to the needs of the medical analysis of the current dataset. The results indicates the presence of brain cancer in various three levels under cluster values of initial stage (54%), Curable stage (38%) and incurable stage (8%), respectively. The accuracy of prediction is 93.4% and the error identification is 9.3% whereas the sensitivity and specificity accounts to 0.8 and 0.7, respectively. Hence, further analysis is conducted in tableau big data tool and the sheets with story boards are formed. This research indicates the occurrence of brain cancer is influenced by gender and age factors along with regular activities and streams. Thus, brain cancer is considered as one of the challenging prediction as the cell contains mixed patterns with variations according to gender and age of human beings.","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91214047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Text Document Clustering using Hashing Deep Learning Method 基于哈希深度学习方法的文本文档聚类
Q3 Computer Science Pub Date : 2020-04-29 DOI: 10.36478/ijscomp.2019.44.52
Nahrain A. Swidan, S. Guirguis, Omar G. Abood
Internet exploration is the use of data mining systems to discover patterns of information and relationships from internet data via data mining techniques. The aim of this study is to locate an efficient algorithm for web news mining with analysis of web news data using data clustering and classification procedures based on deep learning, as well as to evaluate the best way to use site news information algorithms compared to other technologies, and to assess the reliability of the internet news databases that are used as tools and techniques for data mining. In this study, we used an effective algorithm (H ash) that is used to collect and classify data for the best classification of Internet news with results close to 95. 66% accuracy.
互联网探索是使用数据挖掘系统通过数据挖掘技术从互联网数据中发现信息和关系的模式。本研究的目的是通过使用基于深度学习的数据聚类和分类程序对网络新闻数据进行分析,找到一种有效的网络新闻挖掘算法,以及与其他技术相比,评估使用网站新闻信息算法的最佳方法,并评估作为数据挖掘工具和技术的互联网新闻数据库的可靠性。在本研究中,我们使用了一种有效的算法(H ash)来收集和分类数据,以获得互联网新闻的最佳分类,结果接近95。66%的准确率。
{"title":"Text Document Clustering using Hashing Deep Learning Method","authors":"Nahrain A. Swidan, S. Guirguis, Omar G. Abood","doi":"10.36478/ijscomp.2019.44.52","DOIUrl":"https://doi.org/10.36478/ijscomp.2019.44.52","url":null,"abstract":"Internet exploration is the use of data mining systems to discover patterns of information and relationships from internet data via data mining techniques. The aim of this study is to locate an efficient algorithm for web news mining with analysis of web news data using data clustering and classification procedures based on deep learning, as well as to evaluate the best way to use site news information algorithms compared to other technologies, and to assess the reliability of the internet news databases that are used as tools and techniques for data mining. In this study, we used an effective algorithm (H ash) that is used to collect and classify data for the best classification of Internet news with results close to 95. 66% accuracy.","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"39 1","pages":"44-52"},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85627761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Performance Evaluation of Support Vector Machines (SVM) and Convolution Neural Networks (CNN) for Video Tampering Classification 支持向量机(SVM)和卷积神经网络(CNN)在视频篡改分类中的性能评价
Q3 Computer Science Pub Date : 2020-04-29 DOI: 10.36478/ijscomp.2019.53.60
S. Komal, Puneeth Chandrashekar, B. Rekha, G. Srinivasan
{"title":"Performance Evaluation of Support Vector Machines (SVM) and Convolution Neural Networks (CNN) for Video Tampering Classification","authors":"S. Komal, Puneeth Chandrashekar, B. Rekha, G. Srinivasan","doi":"10.36478/ijscomp.2019.53.60","DOIUrl":"https://doi.org/10.36478/ijscomp.2019.53.60","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"77 1","pages":"53-60"},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80755065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Automatic Generation of Arabic Sentences Based on a Minimalist Approach 基于极简方法的阿拉伯语句子自动生成
Q3 Computer Science Pub Date : 2020-04-29 DOI: 10.36478/ijscomp.2019.68.76
Chouaib Moukrim, A. Tragha, E. Benlahmer
: The automatic generation of sentences is a domain of Natural Language Processing (NLP); it is placed in the middle of computer science and linguistics. This is a very complex discipline; the aim of this is to create automatically correct sentences from a list of words which can serve as the basis for such various applications such as automatic translation, question-answering systems, correcting syntactic errors and so on. In this study, we present the use of the linguistic approach of Chomsky’s minimalist grammar. We begin with the elaboration of the lexicon that constitutes the essential link of the generation. Then, based on this lexicon, we treat the merge and move operations to build a syntactically correct sentence.
:句子的自动生成是自然语言处理(NLP)的一个领域;它被置于计算机科学和语言学的中间。这是一个非常复杂的学科;这样做的目的是从单词列表中创建自动正确的句子,这些句子可以作为自动翻译、问答系统、纠正句法错误等各种应用的基础。在这项研究中,我们提出了乔姆斯基的极简语法的语言学方法的使用。我们首先阐述构成一代人的基本环节的词汇。然后,基于这个词典,我们处理合并和移动操作,以构建一个语法正确的句子。
{"title":"The Automatic Generation of Arabic Sentences Based on a Minimalist Approach","authors":"Chouaib Moukrim, A. Tragha, E. Benlahmer","doi":"10.36478/ijscomp.2019.68.76","DOIUrl":"https://doi.org/10.36478/ijscomp.2019.68.76","url":null,"abstract":": The automatic generation of sentences is a domain of Natural Language Processing (NLP); it is placed in the middle of computer science and linguistics. This is a very complex discipline; the aim of this is to create automatically correct sentences from a list of words which can serve as the basis for such various applications such as automatic translation, question-answering systems, correcting syntactic errors and so on. In this study, we present the use of the linguistic approach of Chomsky’s minimalist grammar. We begin with the elaboration of the lexicon that constitutes the essential link of the generation. Then, based on this lexicon, we treat the merge and move operations to build a syntactically correct sentence.","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"307 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74199614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
The Online Social Networks Analysis: State of the Art 在线社会网络分析:最新进展
Q3 Computer Science Pub Date : 2020-04-29 DOI: 10.36478/ijscomp.2019.33.43
Asmae El Kassiri, Fatima-Zahra Belouadha
Page No.: 33-43 Volume: 14, Issue 2, 2019 ISSN: 1816-9503 International Journal of Soft Computing Copy Right: Medwell Publications Abstract: Nowadays, the Online Social Networks OSN emergence has expanded the scope of these needs. In fact, besides the direct links between users, the OSN have various important information about user profiles, tastes and interactions or activities. This information richness has been exploited in the literature in particular social mining techniques to answer new analytical purposes such as influence analysis, trust analysis, opinion mining, recommendation, e-reputation, protection of privacy and detection of experts.
页面没有。摘要:如今,在线社交网络OSN的出现扩大了这些需求的范围。实际上,除了用户之间的直接链接之外,OSN还包含用户的个人资料、品味、交互或活动等各种重要信息。这种信息丰富性在文献中被利用,特别是在社会挖掘技术中,以回答新的分析目的,如影响分析、信任分析、意见挖掘、推荐、电子声誉、隐私保护和专家检测。
{"title":"The Online Social Networks Analysis: State of the Art","authors":"Asmae El Kassiri, Fatima-Zahra Belouadha","doi":"10.36478/ijscomp.2019.33.43","DOIUrl":"https://doi.org/10.36478/ijscomp.2019.33.43","url":null,"abstract":"Page No.: 33-43 Volume: 14, Issue 2, 2019 ISSN: 1816-9503 International Journal of Soft Computing Copy Right: Medwell Publications Abstract: Nowadays, the Online Social Networks OSN emergence has expanded the scope of these needs. In fact, besides the direct links between users, the OSN have various important information about user profiles, tastes and interactions or activities. This information richness has been exploited in the literature in particular social mining techniques to answer new analytical purposes such as influence analysis, trust analysis, opinion mining, recommendation, e-reputation, protection of privacy and detection of experts.","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80066631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retrecheck: An Efficient Handoff and Buffer Ranging Framework to Minimize Packet Loss Rate Through Check Point Retransmission Using 802.16m WiMAX Networks Retrecheck:一个有效的切换和缓冲范围框架,通过使用802.16m WiMAX网络的检查点重传来最小化丢包率
Q3 Computer Science Pub Date : 2020-03-13 DOI: 10.36478/ijscomp.2013.82.86
D. Karunkuzhali, D. Tomar
{"title":"Retrecheck: An Efficient Handoff and Buffer Ranging Framework to Minimize Packet Loss Rate Through Check Point Retransmission Using 802.16m WiMAX Networks","authors":"D. Karunkuzhali, D. Tomar","doi":"10.36478/ijscomp.2013.82.86","DOIUrl":"https://doi.org/10.36478/ijscomp.2013.82.86","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"17 1","pages":"82-86"},"PeriodicalIF":0.0,"publicationDate":"2020-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89165840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advances in Soft Computing: 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Mexico City, Mexico, October 12–17, 2020, Proceedings, Part I 软计算进展:第19届墨西哥国际人工智能会议,MICAI 2020,墨西哥城,墨西哥,2020年10月12日至17日,会议录,第一部分
Q3 Computer Science Pub Date : 2020-01-01 DOI: 10.1007/978-3-030-60884-2
Lourdes Martínez-Villaseñor, Oscar Herrera-Alcántara, Hiram Ponce, Félix A. Castro-Espinoza
{"title":"Advances in Soft Computing: 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Mexico City, Mexico, October 12–17, 2020, Proceedings, Part I","authors":"Lourdes Martínez-Villaseñor, Oscar Herrera-Alcántara, Hiram Ponce, Félix A. Castro-Espinoza","doi":"10.1007/978-3-030-60884-2","DOIUrl":"https://doi.org/10.1007/978-3-030-60884-2","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"64 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88040139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Rendering a Video on the Image Coordinates Using Augmented Reality 使用增强现实在图像坐标上渲染视频
Q3 Computer Science Pub Date : 2019-10-10 DOI: 10.36478/ijscomp.2019.6.10
P. Mahalakshmi, Sri Harshavardhan Pathuri, K. S. Kumar
{"title":"Rendering a Video on the Image Coordinates Using Augmented Reality","authors":"P. Mahalakshmi, Sri Harshavardhan Pathuri, K. S. Kumar","doi":"10.36478/ijscomp.2019.6.10","DOIUrl":"https://doi.org/10.36478/ijscomp.2019.6.10","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86245207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Develop an Online Based Virtual Office Management Software 开发一个基于在线的虚拟办公室管理软件
Q3 Computer Science Pub Date : 2019-10-10 DOI: 10.36478/ijscomp.2019.11.27
Badiuzzaman, Rafiquzzaman
{"title":"Develop an Online Based Virtual Office Management Software","authors":"Badiuzzaman, Rafiquzzaman","doi":"10.36478/ijscomp.2019.11.27","DOIUrl":"https://doi.org/10.36478/ijscomp.2019.11.27","url":null,"abstract":"","PeriodicalId":38638,"journal":{"name":"International Journal of Advances in Soft Computing and its Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89277608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
International Journal of Advances in Soft Computing and its Applications
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1