Titlebook: Microbiome in Inflammatory Lung Diseases; Gaurav Gupta,Brian G. Oliver,Ronan MacLoughlin Book 2022 The Editor(s) (if applicable) and The A

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書目名稱Microbiome in Inflammatory Lung Diseases網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Microbiome in Inflammatory Lung Diseases被引頻次學(xué)科排名




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NEG

Shivkanya Fuloria,Vetriselvan Subramaniyan,Mahendran Sekar,Yuan Seng Wu,Srikumar Chakravarthi,Rusli factor 5 shorter than traditional requirements in the same domain. Stakeholders understood them and identified missing demands. Suppliers could write excellent proposals with a modest effort. The requirements were a good basis for writing test cases and resolving conflicts during development. The d

Hectic

Kuldeepak Sharma,Mateja Erdani Kreft,Mateja ?kufca Sterle,Darko Vasice individual words, which are then matched automatically to 26 reusable semantic rules. The rules were discovered by classifying 335 unique information type phrases extracted from 50 mobile privacy policies. The method was evaluated on 109 unique information types extracted from six privacy policies

Gullible

Mediocre

Khalid Saad Alharbi,Sattam Khulaif Alenezi,Sulaiman Mohammed Alnasser factor 5 shorter than traditional requirements in the same domain. Stakeholders understood them and identified missing demands. Suppliers could write excellent proposals with a modest effort. The requirements were a good basis for writing test cases and resolving conflicts during development. The d

心胸開闊

C. Sarath Chandran,Anitha Jose Subin,Alan Raj,K. K. Swathy,Indu Raghunathosystem elements that grant them privileges or lack thereof, and consequences that reverberate positively or negatively towards them. We contribute towards stakeholder analysis activities by presenting our power relationships framework, which can be integrated into the requirements process as a tech

冥想后

Shibi Muralidar,Gayathri Gopal,Senthil Visaga Ambi with 14,983 sentences from 53 requirements documents originating from 18 different domains and shed light on the form and complexity of causality in requirements. Based on our findings, we develop a tool-supported approach for causality detection (CiRA, standing for Causality in Requirement Artifac

一起平行

fabricate

Shvetank Bhatt,K. Sreedhara R. Pai,C. R. Patil,S. N. Manjula,S. Mohana Lakshmients into a graph and does not require any external knowledge bases or other resources. . To improve the performance, we take a detailed look at five common datasets and adapt the graph structure and semantic search algorithm. Depending on the selected configuration, the predictive power strongly va

Endometrium