首页 > 最新文献

Connection Science最新文献

英文 中文
A multi-feature stock price prediction model based on multi-feature calculation, LASSO feature selection, and Ca-LSTM network 基于多特征计算、LASSO 特征选择和 Ca-LSTM 网络的多特征股价预测模型
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-01-19 DOI: 10.1080/09540091.2023.2286188
Xiao Chen, Lei Cao, Zhi Cao, HongWei Zhang
This paper addresses the crucial realm of stock price prediction, highly coveted by individual investors and institutions for its substantial economic implications. The inherent non-stationary and ...
本文探讨的是股票价格预测这一关键领域,因其具有重大的经济意义而备受个人投资者和机构的青睐。其固有的非平稳性和...
{"title":"A multi-feature stock price prediction model based on multi-feature calculation, LASSO feature selection, and Ca-LSTM network","authors":"Xiao Chen, Lei Cao, Zhi Cao, HongWei Zhang","doi":"10.1080/09540091.2023.2286188","DOIUrl":"https://doi.org/10.1080/09540091.2023.2286188","url":null,"abstract":"This paper addresses the crucial realm of stock price prediction, highly coveted by individual investors and institutions for its substantial economic implications. The inherent non-stationary and ...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":"76 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139510364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A study on the traceable attribute-based signature scheme provided with anonymous credentials 关于提供匿名凭证的基于属性的可追溯签名方案的研究
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-01-08 DOI: 10.1080/09540091.2023.2287979
Yong Woon Hwang, Taehoon Kim, Daehee Seo, Im-Yeong Lee
In order to provide the reliability of transmitted data in the era of big data, it is necessary to communicate by applying signature technology to data. There are various signature schemes, among w...
在大数据时代,为了保证传输数据的可靠性,有必要对数据应用签名技术进行通信。目前有多种签名方案,其中...
{"title":"A study on the traceable attribute-based signature scheme provided with anonymous credentials","authors":"Yong Woon Hwang, Taehoon Kim, Daehee Seo, Im-Yeong Lee","doi":"10.1080/09540091.2023.2287979","DOIUrl":"https://doi.org/10.1080/09540091.2023.2287979","url":null,"abstract":"In order to provide the reliability of transmitted data in the era of big data, it is necessary to communicate by applying signature technology to data. There are various signature schemes, among w...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":"37 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139411066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AWDS-net: automatic whole-field segmentation network for characterising diverse breast masses AWDS-网络:用于描述不同乳腺肿块特征的全场自动分割网络
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-01-08 DOI: 10.1080/09540091.2023.2289836
Jiajia Jiao, Yingzhao Chen, Zhiyu Li, Tien-Hsiung Weng
Diverse breast masses in size, shape and place make accurate image segmentation more challenging in a unified deep-learning network. Therefore, based on the U-net network, an adaptive automatic who...
乳房肿块的大小、形状和位置各不相同,这使得在统一的深度学习网络中进行准确的图像分割更具挑战性。因此,基于 U-net 网络,一种自适应的自动乳房肿块图像分割技术可用于乳房肿块的图像分割。
{"title":"AWDS-net: automatic whole-field segmentation network for characterising diverse breast masses","authors":"Jiajia Jiao, Yingzhao Chen, Zhiyu Li, Tien-Hsiung Weng","doi":"10.1080/09540091.2023.2289836","DOIUrl":"https://doi.org/10.1080/09540091.2023.2289836","url":null,"abstract":"Diverse breast masses in size, shape and place make accurate image segmentation more challenging in a unified deep-learning network. Therefore, based on the U-net network, an adaptive automatic who...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":"53 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139422339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Blockchain-based privacy-preserving multi-tasks federated learning framework 基于区块链的隐私保护多任务联合学习框架
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-01-08 DOI: 10.1080/09540091.2023.2299103
Yunyan Jia, Ling Xiong, Yu Fan, Wei Liang, N. Xiong, Fengjun Xiao
{"title":"Blockchain-based privacy-preserving multi-tasks federated learning framework","authors":"Yunyan Jia, Ling Xiong, Yu Fan, Wei Liang, N. Xiong, Fengjun Xiao","doi":"10.1080/09540091.2023.2299103","DOIUrl":"https://doi.org/10.1080/09540091.2023.2299103","url":null,"abstract":"","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":"49 22","pages":""},"PeriodicalIF":5.3,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139446422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A novel framework for Chinese personal sensitive information detection 中国个人敏感信息检测新框架
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-01-03 DOI: 10.1080/09540091.2023.2298310
Chenglong Ren, Xiao Lan, Xingshu Chen, Yonggang Luo, Shuhua Ruan
With the rapid development of social networks, the harm caused by the leakage of personal sensitive information is becoming increasingly serious. In order to detect and identify personal sensitive ...
随着社交网络的快速发展,个人敏感信息泄露造成的危害日益严重。为了及时发现和识别个人敏感信息,我们需要对社交网络中的个人敏感 ...
{"title":"A novel framework for Chinese personal sensitive information detection","authors":"Chenglong Ren, Xiao Lan, Xingshu Chen, Yonggang Luo, Shuhua Ruan","doi":"10.1080/09540091.2023.2298310","DOIUrl":"https://doi.org/10.1080/09540091.2023.2298310","url":null,"abstract":"With the rapid development of social networks, the harm caused by the leakage of personal sensitive information is becoming increasingly serious. In order to detect and identify personal sensitive ...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":"71 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139103435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
GCN-based weakly-supervised community detection with updated structure centres selection 基于 GCN 的弱监督群落检测与更新结构中心选择
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-01-03 DOI: 10.1080/09540091.2023.2291995
Liping Deng, Bing Guo, Wen Zheng
Community detection is a classic problem in network learning. Semi-supervised network learning requires a certain amount of known samples, while sample annotation is time-consuming and laborious. I...
社群检测是网络学习中的一个经典问题。半监督网络学习需要一定量的已知样本,而样本标注费时费力。I...
{"title":"GCN-based weakly-supervised community detection with updated structure centres selection","authors":"Liping Deng, Bing Guo, Wen Zheng","doi":"10.1080/09540091.2023.2291995","DOIUrl":"https://doi.org/10.1080/09540091.2023.2291995","url":null,"abstract":"Community detection is a classic problem in network learning. Semi-supervised network learning requires a certain amount of known samples, while sample annotation is time-consuming and laborious. I...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":"86 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139094175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hierarchical multi-instance multi-label learning for Chinese patent text classification 用于中文专利文本分类的分层多实例多标签学习
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-01-03 DOI: 10.1080/09540091.2023.2295818
Yunduo Liu, Fang Xu, Yushan Zhao, Zichen Ma, Tengke Wang, Shunxiang Zhang, Yuhao Tian
To further enhance the accuracy of the Chinese patent classification, this paper proposes a model, based on the patent structure and takes the patent claim as subjects, with multi-instance multi-la...
为进一步提高中国专利分类的准确性,本文提出了一种以专利结构为基础、以专利权利要求书为主体、多实例多类型的中国专利分类模型。
{"title":"Hierarchical multi-instance multi-label learning for Chinese patent text classification","authors":"Yunduo Liu, Fang Xu, Yushan Zhao, Zichen Ma, Tengke Wang, Shunxiang Zhang, Yuhao Tian","doi":"10.1080/09540091.2023.2295818","DOIUrl":"https://doi.org/10.1080/09540091.2023.2295818","url":null,"abstract":"To further enhance the accuracy of the Chinese patent classification, this paper proposes a model, based on the patent structure and takes the patent claim as subjects, with multi-instance multi-la...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":"24 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139094173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks 通过矩阵因式分解和神经网络实现基于加权元图的移动应用推荐
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-12-30 DOI: 10.1080/09540091.2023.2289834
Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng, Mingdong Tang
Numerous mobile applications (apps) with different functions meet the various needs of users, but users have to spend a lot of time selecting suitable mobile apps. How to select relevant mobile app...
众多功能各异的移动应用程序(Apps)满足了用户的各种需求,但用户不得不花费大量时间来选择合适的移动应用程序。如何选择相关的移动应用程序?
{"title":"Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks","authors":"Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng, Mingdong Tang","doi":"10.1080/09540091.2023.2289834","DOIUrl":"https://doi.org/10.1080/09540091.2023.2289834","url":null,"abstract":"Numerous mobile applications (apps) with different functions meet the various needs of users, but users have to spend a lot of time selecting suitable mobile apps. How to select relevant mobile app...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":"46 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139079015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PS-GCN: psycholinguistic graph and sentiment semantic fused graph convolutional networks for personality detection PS-GCN:用于个性检测的心理语言图谱和情感语义融合图卷积网络
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-12-30 DOI: 10.1080/09540091.2023.2295820
Wenjuan Liu, Zhengyan Sun, Subo Wei, Shunxiang Zhang, Guangli Zhu, Lei Chen
Personality detection identifies personality traits in text. Current approaches often rely on deep learning networks for text representation but they overlook the significance of psychological lang...
人格检测可识别文本中的人格特质。目前的方法通常依赖深度学习网络来进行文本表征,但它们忽略了心理语言的重要性。
{"title":"PS-GCN: psycholinguistic graph and sentiment semantic fused graph convolutional networks for personality detection","authors":"Wenjuan Liu, Zhengyan Sun, Subo Wei, Shunxiang Zhang, Guangli Zhu, Lei Chen","doi":"10.1080/09540091.2023.2295820","DOIUrl":"https://doi.org/10.1080/09540091.2023.2295820","url":null,"abstract":"Personality detection identifies personality traits in text. Current approaches often rely on deep learning networks for text representation but they overlook the significance of psychological lang...","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":"26 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139067326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI-based data analysis for healthcare 基于人工智能的医疗数据分析
IF 5.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-12-27 DOI: 10.1080/09540091.2023.2295680
{"title":"AI-based data analysis for healthcare","authors":"","doi":"10.1080/09540091.2023.2295680","DOIUrl":"https://doi.org/10.1080/09540091.2023.2295680","url":null,"abstract":"","PeriodicalId":50629,"journal":{"name":"Connection Science","volume":"53 2","pages":""},"PeriodicalIF":5.3,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139154070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","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
Connection Science
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