interleukins 发表于 2025-3-21 18:31:03
书目名称Data Science and Algorithms in Systems影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0263073<br><br> <br><br>书目名称Data Science and Algorithms in Systems影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0263073<br><br> <br><br>书目名称Data Science and Algorithms in Systems网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0263073<br><br> <br><br>书目名称Data Science and Algorithms in Systems网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0263073<br><br> <br><br>书目名称Data Science and Algorithms in Systems被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0263073<br><br> <br><br>书目名称Data Science and Algorithms in Systems被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0263073<br><br> <br><br>书目名称Data Science and Algorithms in Systems年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0263073<br><br> <br><br>书目名称Data Science and Algorithms in Systems年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0263073<br><br> <br><br>书目名称Data Science and Algorithms in Systems读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0263073<br><br> <br><br>书目名称Data Science and Algorithms in Systems读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0263073<br><br> <br><br>DAMN 发表于 2025-3-21 21:40:43
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Emery Brusset,Cedric de Coning,Bryn Hughes during the modeling phase. Finally, we present a conceptually linked municipality data ontology in Web Ontology Language (OWL), supported by the y Protégé ontology management tool, that models the public services domain, thus allowing the standardization and interoperability of respective municipalities’ departments.Intractable 发表于 2025-3-22 14:19:21
Conceptual Linked Data Model for South African Municipalities Public Services Domain, during the modeling phase. Finally, we present a conceptually linked municipality data ontology in Web Ontology Language (OWL), supported by the y Protégé ontology management tool, that models the public services domain, thus allowing the standardization and interoperability of respective municipalities’ departments.Intractable 发表于 2025-3-22 19:08:05
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Daniel Kossmann,Donald Kossmannis proving difficult. The purpose of this article is to conduct a literature study of classification algorithms to predict, prevent, and detect mental health disorders. Some of the algorithms studied include Random Forest, SVM, and Deep Learning.