Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Donghwan Shin"'
Autor:
Hosung Jeon, Jung Wook Yang, Donghwan Shin, Donggyu Min, Byung Joo Kim, Kyunghun Min, Hokyoung Son
Publikováno v:
The Plant Pathology Journal, Vol 40, Iss 2, Pp 106-114 (2024)
Fusarium head blight (FHB), predominantly caused by Fusarium graminearum and F. asiaticum, is a significant fungal disease impacting small-grain cereals. The absence of highly resistant cultivars underscores the need for vigilant FHB surveillance to
Externí odkaz:
https://doaj.org/article/c8156e2f1fbb4f8a818a8eec404bdc30
Autor:
Donghwan Shin, Sanggyu Kang
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 3767-3779 (2022)
Ion transport membrane (ITM) reactor has been regarded as a promising novel technology for syngas production. To commercialize this technology, overall system designs and operating conditions should be optimized.In this study, a mathematical analysis
Externí odkaz:
https://doaj.org/article/2e9123c961804d4290d24ec049d131a7
Publikováno v:
Fundamental Approaches to Software Engineering ISBN: 9783031308253
info:eu-repo/grantAgreement/EC/H2020/957254
info:eu-repo/grantAgreement/EC/H2020/957254
This short paper takes initial steps towards developing a novel approach, called log slicing, that aims to answer a practical question in the field of log analysis: Can we automatically identify log messages related to a specific message (e.g., an er
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::924b7327768bfa2183431de96dbd032e
https://doi.org/10.1007/978-3-031-30826-0_14
https://doi.org/10.1007/978-3-031-30826-0_14
Publikováno v:
info:eu-repo/grantAgreement/EC/H2020/694277
With the recent advances of Deep Neural Networks (DNNs) in real-world applications, such as Automated Driving Systems (ADS) for self-driving cars, ensuring the reliability and safety of such DNN- enabled Systems emerges as a fundamental topic in soft
Autor:
Eung-Jun Jeon, Donghwan Shin
Publikováno v:
Culture, Meida, and Entertainment Laws. 14:149-182
Publikováno v:
ISSTA
Regression testing is arguably one of the most important activities in software testing. However, its cost-effectiveness and usefulness can be largely impaired by complex system test cases that are poorly designed (e.g., test cases containing multipl
Publikováno v:
ISSTA
ISSTA 2021: Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis
info:eu-repo/grantAgreement/EC/H2020/694277
Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis
ISSTA 2021: Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis
info:eu-repo/grantAgreement/EC/H2020/694277
Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis
Automatically detecting the positions of key-points (e.g., facial key-points or finger key-points) in an image is an essential problem in many applications, such as driver's gaze detection and drowsiness detection in automated driving systems. With t
Autor:
Sanggyu Kang, Donghwan Shin
Publikováno v:
Journal of Membrane Science. 586:292-305
The ion transport membrane (ITM) reactor has been developed as a potential novel syngas production technology that includes both air separation and fuel conversion. To successfully commercialize the ITM reactor, it is necessary to optimize its operat
Publikováno v:
Empirical software engineering. 26(5)
We distinguish two general modes of testing for Deep Neural Networks (DNNs): Offline testing where DNNs are tested as individual units based on test datasets obtained without involving the DNNs under test, and online testing where DNNs are embedded i
Behavioral software models play a key role in many software engineering tasks; unfortunately, these models either are not available during software development or, if available, quickly become outdated as implementations evolve. Model inference techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ef3783f3d5d0c5697ba3980493e9205