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pro vyhledávání: '"Thanh, Tho Quan"'
Large Language Models (LLMs) have recently advanced many applications on software engineering tasks, particularly the potential for code generation. Among contemporary challenges, code generated by LLMs often suffers from inaccuracies and hallucinati
Externí odkaz:
http://arxiv.org/abs/2408.15658
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 10, Iss 2 (2023)
Transforming data into appropriate formats is crucial because it can speed up the training process and enhance the performance of classification algorithms. It is, however, challenging due to the complicated process, resource-intensive and preserved
Externí odkaz:
https://doaj.org/article/2982e23fae67493891e115c3f9e59e5b
Publikováno v:
Online Information Review. 44:1027-1055
PurposeThis paper proposes an approach to identify categorical influencers (i.e. influencers is the person who is active in the targeted categories) in social media channels. Categorical influencers are important for media marketing but to automatica
Publikováno v:
Expert Systems. 38
Akademický článek
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Publikováno v:
Expert Systems. 36
Publikováno v:
APSEC (2)
Binary code analysis has attracted much attention. The difficulty lies in constructing a Control Flow Graph (CFG), which is dynamically generated and modified, such as mutations. Typical examples are handling dynamic jump instructions, in which desti
Publikováno v:
IEEE Transactions on Industrial Informatics. 2:155-164
Customer service support is an important operation for most multinational manufacturing companies. With the advancement of internet technologies, customer services nowadays are supported through web-based systems. More recently, rapid development of
Publikováno v:
Control Engineering and Electronics Engineering.
Autor:
Étienne André, Phuong-Nam Mai, Bao-Trung Pham-Duy, Huu-Vu Nguyen, Dinh-Thuan Le, Laure Petrucci, Van-Tinh Nguyen, Thanh-Tho Quan, Yang Liu
Publikováno v:
Automated Technology for Verification and Analysis ISBN: 9783319119359
ATVA
ATVA
This paper introduces PeCAn, a tool supporting compositional verification of Petri nets. Beyond classical features (such as on-the-fly analysis and synchronisation between multiple Petri nets), PeCAn generates Symbolic Observation Graphs (SOG), and u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed468b02162e60856262d26718d035ff
https://doi.org/10.1007/978-3-319-11936-6_18
https://doi.org/10.1007/978-3-319-11936-6_18