Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Seunghyun Yoon"'
Publikováno v:
IEEE Access, Vol 11, Pp 104224-104233 (2023)
We propose a continual learning (CL) method (called CLiCK), a hybrid of an architecture-based approach that increments a model when it detects that the dataset characteristics have changed significantly, and a rehearsal-based approach that exploits a
Externí odkaz:
https://doaj.org/article/24d29b9e949443aa965b2e1afab4e2c6
Publikováno v:
IEEE Access, Vol 9, Pp 47815-47827 (2021)
Intrusion detection system (IDS) and deep packet inspection (DPI) are widely used to detect network attacks and anomalies, thereby enhancing cyber-security. Conventional traffic analyzers such as IDS have fixed locations and a limited capacity to per
Externí odkaz:
https://doaj.org/article/f3e76ea306964b1fa1270bf2c79ffa24
Autor:
Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim
Publikováno v:
IEEE Access, Vol 9, Pp 70700-70714 (2021)
The recent development of autonomous driving technologies has led to the proliferation of research on sensors and electronic equipment inside a vehicle. To deal with security concerns of in-vehicle networks, various deep learning (DL) and reinforceme
Externí odkaz:
https://doaj.org/article/aa6f5b36b0bd4411ad44230b1d8265b7
Publikováno v:
IEEE Access, Vol 9, Pp 36195-36206 (2021)
This paper tackles the problem of detecting incongruities between headlines and body text, where a news headline is irrelevant or even in opposition to the information in its body. Our model, called the graph-based hierarchical dual encoder (GHDE), u
Externí odkaz:
https://doaj.org/article/fa5d4191686642dd8091ff8e900f74fd
Publikováno v:
IEEE Access, Vol 8, Pp 15166-15177 (2020)
Firewalls are a fundamental element of network security systems with the ability to block network data traffic flows according to pre-defined rules. Software-defined networking (SDN) technology, which can provide flexibility, elasticity, and programm
Externí odkaz:
https://doaj.org/article/8e0c2d94503b4020a493b8f267b79177
Publikováno v:
IEEE Access, Vol 8, Pp 226515-226523 (2020)
Applying generative adversarial networks (GANs) to text-related tasks is challenging due to the discrete nature of language. One line of research resolves this issue by employing reinforcement learning (RL) and optimizing the next-word sampling polic
Externí odkaz:
https://doaj.org/article/d82f081423c34e1c918dfdddafac96dc
Publikováno v:
Frontiers in Psychology, Vol 10 (2020)
Environmental accessibility information measured by universal design guidelines does not exist in a form that can be effectively implemented as a geospatial database. Thus, this study explored the design process of a smart accessibility data model th
Externí odkaz:
https://doaj.org/article/e5514c2bbeb347a3a7f8916289bd9dc2
Akademický článek
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Akademický článek
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Autor:
Sunghwan Kim, Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim
Publikováno v:
IEEE Transactions on Network and Service Management. 19:4834-4846
Reinforcement learning (RL) is a promising approach for intelligent agents to protect a given system under highly hostile environments. RL allows the agent to adaptively make sequential defense decisions based on the perceived current state of system