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pro vyhledávání: '"Jun, Kyun"'
Most deep anomaly detection models are based on learning normality from datasets due to the difficulty of defining abnormality by its diverse and inconsistent nature. Therefore, it has been a common practice to learn normality under the assumption th
Externí odkaz:
http://arxiv.org/abs/2309.09436
Publikováno v:
Volume 167, March 2023, Pages 18-24
Active learning has been utilized as an efficient tool in building anomaly detection models by leveraging expert feedback. In an active learning framework, a model queries samples to be labeled by experts and re-trains the model with the labeled data
Externí odkaz:
http://arxiv.org/abs/2309.09465
Autor:
Su Eon Lee, Hanna Lee, Jang Hwan Kim, Jae Chul Park, Sooah Kyung, Hayoung Choi, Su Hyun Baek, Jun Hyun Park, Sohyun Park, Jeong-Min Kim, Hye-Jun Jo, Seung Hyeon Cho, Jiwoong Kim, Hojun Kim, Seung Ho Han, Jun Kyun Oh, Bong Hoon Kim
Publikováno v:
npj Flexible Electronics, Vol 8, Iss 1, Pp 1-10 (2024)
Abstract Recently, an investigation into preventive measures for coronavirus disease 2019 (COVID-19) has garnered considerable attention. Consequently, strategies for the proactive prevention of viral pathogens have also attracted significant interes
Externí odkaz:
https://doaj.org/article/3d3b86da323747e2b16f793a744cfe43
One-class classification has been a prevailing method in building deep anomaly detection models under the assumption that a dataset consisting of normal samples is available. In practice, however, abnormal samples are often mixed in a training datase
Externí odkaz:
http://arxiv.org/abs/2302.06048
Publikováno v:
IEEE Access, Vol 12, Pp 34973-34992 (2024)
To support dramatically increasing services from internet of thing (IoT) devices with the sporadic and fluctuated generation of short packet traffic, this paper investigates joint dynamic time division duplexing (TDD) and radio resource control (RRC)
Externí odkaz:
https://doaj.org/article/5cf93784fb1e46be8f24a473e5af1e6c
Autor:
Son, Jaehyoung, Cho, Seul Gi, Kim, Changkyu, Cho, Dae Hyun, Castaneda, Homero, Oh, Jun Kyun, Akbulut, Mustafa, Teizer, Winfried
Publikováno v:
In Surface & Coatings Technology 15 April 2024 481
Autor:
Zhou, Wentao, Liu, Shuhao, DeFlorio, William, Song, Sang Ha, Choi, Hayoung, Cisneros-Zevallos, Luis, Oh, Jun Kyun, Akbulut, Mustafa E.S.
Publikováno v:
In Journal of Food Engineering February 2024 363
Publikováno v:
In Future Generation Computer Systems February 2024 151:71-84
Autor:
Lee, Hanna1 (AUTHOR), Oh, Jun Kyun1 (AUTHOR) junkyunoh@dankook.ac.kr
Publikováno v:
Polymers (20734360). Jul2024, Vol. 16 Issue 14, p1983. 16p.
Wireless power transmission (WPT) is expected to play an important role in the Internet of Things services by providing the perpetual operation of IoT sensors. However, to prolong the IoT network's lifetime, the efficient resource allocation algorith
Externí odkaz:
http://arxiv.org/abs/2003.13255