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Semantic Web Service Search: A Brief Survey
2015
Künstliche Intelligenz
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In this paper, we briefly survey the state of the art of semantic web service search. ...
In this paper, we briefly survey the state of the art of semantic web service search. ...
Specialized search engines for semantic services are S3E [15] and Sousuo [35] . ...
doi:10.1007/s13218-015-0415-7
fatcat:hsbam7mzwveormqqtl46jtfwhy
Service Discovery
[chapter]
2014
Encyclopedia of Social Network Analysis and Mining
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Cross-references WSDL, Web Service Composition, OWL (Web Ontology Language), RDF ...
Specialized search engines. Examples of search engines for semantic services are S3E (Giantsiou et al., 2009 ) and Sousuo (Klusch & Xing, 2007) . ...
Alternatively, the S3E engine is encoding the profiles of crawled semantic services in RDF. ...
doi:10.1007/978-1-4614-6170-8_121
fatcat:mbf4w3k5n5grvdblwt2pfyll4u
Semantic web service search: a brief survey
2016
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In this paper, we briefly survey the state of the art of semantic web service search. ...
In this paper, we briefly survey the state of the art of semantic web service search. ...
Specialized search engines for semantic services are S3E [15] and Sousuo [35] . ...
doi:10.5167/uzh-134977
fatcat:yspetak33ngahnof4ajrafea34
KAT: A Flexible XML-based Knowledge Authoring Environment
2005
JAMIA Journal of the American Medical Informatics Association
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The flexible nature of the application allows the immediate authoring of new types of documents once an appropriate XML schema and accompanying Web form have been developed and stored in a shared repository ...
The need for a knowledge acquisition tool stems largely from the desire for medical practitioners to be able to write their own content for use within clinical applications. ...
Correspondence and reprints: Nathan Hulse, PhDC, Intermountain Health Care, S3E, 4646 Lake Park Blvd., Salt Lake City, UT 84120-8212; e-mail: <nathan.hulse@ihc.com>. ...
doi:10.1197/jamia.m1701
pmid:15802477
pmcid:PMC1174887
fatcat:b7kbh77lpjguxlw5p6uq2rx5re
A Machine-Learning-Driven Evolutionary Approach for Testing Web Application Firewalls
2018
IEEE Transactions on Reliability
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Initially, ML-Driven automatically generates a diverse set of attacks and submit them to the system being protected by the target WAF. ...
In this paper, we focus on testing WAFs for SQL injection attacks, but the general principles and strategy we propose can be adapted to other contexts. ...
Based on our experience, we found that test engineers prefer to test copies of the actual WAF configuration and services. ...
doi:10.1109/tr.2018.2805763
fatcat:5iua3xo3rffxxpxfaeaf7pccae
Developing a macroscopic model based on fuzzy cognitive map for road traffic flow simulation
2021
Infocommunications journal
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Even though applications of FCM in risk analysis have been presented in various engineering fields, this research aims at modeling road traffic flow based on macroscopic characteristics through FCM. ...
The proposed FCM model is developed based on 58 selected freeway segments as the "concepts" of the FCM; moreover, a new inference rule for employing in FCM reasoning process along with its algorithms have ...
of SC techniques such as approximate computing and randomized search can be properly employed [17] , [18] . ...
doi:10.36244/icj.2021.3.2
fatcat:fulqk4jbgvabtntyisrxgjb2sm
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy ...
Finally, the author acknowledges funding from EPSRC grant EP/N035437/1 and EPSRC Studentship 1917382.
Competing Interests The author declares no competing interests. ...
doi:10.5281/zenodo.4399748
fatcat:63ggmnviczg6vlnqugbnrexsgy
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
This version of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of ...
Finally, the author acknowledges funding from EPSRC grant EP/N035437/1 and EPSRC Studentship 1917382.
Competing Interests The author declares no competing interests. ...
doi:10.5281/zenodo.4598227
fatcat:hm2ksetmsvf37adjjefmmbakvq
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
This version of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of ...
Finally, the author acknowledges funding from EPSRC grant EP/N035437/1 and EPSRC Studentship 1917382.
Competing Interests The author declares no competing interests. ...
doi:10.5281/zenodo.4591029
fatcat:zn2hvfyupvdwlnvsscdgswayci
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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The file type is application/pdf.
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy ...
Finally, the author acknowledges funding from EPSRC grant EP/N035437/1 and EPSRC Studentship 1917382.
Competing Interests The author declares no competing interests. ...
doi:10.5281/zenodo.4413249
fatcat:35qbhenysfhvza2roihx52afuy
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy ...
Finally, the author acknowledges funding from EPSRC grant EP/N035437/1 and EPSRC Studentship 1917382.
Competing Interests The author declares no competing interests. ...
doi:10.5281/zenodo.4429792
fatcat:qs6yuapx4vdbdmwna7ix7nnwty
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 accepted arXiv:2101.01178v4 fatcat:sgzeils4lzgp5ibelyrlvmh3o4Other Versions
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
This copy of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of Philosophy ...
Finally, the author acknowledges funding from EPSRC grant EP/N035437/1 and EPSRC Studentship 1917382.
Competing Interests The author declares no competing interests. ...
doi:10.5281/zenodo.4415407
fatcat:6dejwzzpmfegnfuktrld6zgpiq
Thursday sessions
2011
2011 Frontiers in Education Conference (FIE)
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However, current engineering thermodynamics textbooks are grounded in historical developments of the steam engine in Europe and subsequent fossil fuel technologies. ...
The mini-workshop will demonstrate the use of the modules in core engineering courses. Participants will individually design a plan for implementing a module of their choice in one of their courses. ...
We present an evaluation of the usability of a customized semantic environment and show how it interacts with a semantic wiki-based approach. ...
doi:10.1109/fie.2011.6143155
fatcat:imkz5klofbe3bl42dkrhm5h6du
Personal data's ever-expanding scope in smart environments and possible path(s) for regulating emerging digital technologies
2021
International Data Protecion Law
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At the policy level, one can think of the shift from the narrower version of biographical information that existed in a number of national statutes to the broader, current notion of personal data as enshrined ...
Hence data protection law as 'the law of everything'. She relies upon two sets of assumptions. The first one is legal and based on the EU official interpretation of the notion of personal data. ...
' engineering science. 112 This owes to a number of factors such as the absence of commonly agreed upon levels of desired quality and associated error bars. 113 Such shortcomings might end up having ...
doi:10.1093/idpl/ipaa023
fatcat:3kpcderc5becdeu6xfsc44qyp4
WormCat: An Online Tool for Annotation and Visualization of Caenorhabditis elegans Genome-Scale Data
2019
Genetics
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The emergence of large gene expression datasets has revealed the need for improved tools to identify enriched gene categories and visualize enrichment patterns. ...
Using WormCat, we identified sterol metabolism as a category that was not enriched in the single or double combinations, but emerged in a triple combination along with the lifespan shortening. ...
Acknowledgments We wish to thank members of the Walker and Walhout laboratories for helpful discussion. Funding to A.K.W. ...
doi:10.1534/genetics.119.302919
pmid:31810987
pmcid:PMC7017019
fatcat:pwuh2uvmqvbdfeoxibebq5dfdu
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