Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Cheolwoo You"'
Publikováno v:
IEEE Access, Vol 12, Pp 39261-39269 (2024)
Federated learning (FL) has been intensively investigated in terms of communication efficiency, privacy, and fairness. However, efficient annotation, which is a pain point in real-world FL applications, is less studied. In this project, we propose to
Externí odkaz:
https://doaj.org/article/af529c8129734ccc9f69b7cc8310662d
Publikováno v:
IEEE Access, Vol 11, Pp 36097-36105 (2023)
Federated learning is a distributed machine learning framework that enables a large number of devices to cooperatively train a model without data sharing. However, because federated learning trains a model using non-independent and identically distri
Externí odkaz:
https://doaj.org/article/6e2c444fe0024ab6af3ecdd3380bdd36
Publikováno v:
IEEE Access, Vol 10, Pp 127094-127116 (2022)
Due to recent technological developments such as online navigation, augmented reality (AR), virtual reality (VR), and digital twins, and the high demand from users for various location-based services (LBS), research on location estimation techniques
Externí odkaz:
https://doaj.org/article/22136d6a434e4765ad9d493a62d0f8a7
Autor:
Sangwoo Park, Cheolwoo You
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5507 (2023)
In the semiconductor industry, achieving a high production yield is a very important issue. Wafer bin maps (WBMs) provide critical information for identifying anomalies in the manufacturing process. A WBM forms a certain defect pattern according to t
Externí odkaz:
https://doaj.org/article/cf5453feec3d4abc996109883882d220
Publikováno v:
Sensors, Vol 22, Iss 24, p 9776 (2022)
Federated learning is a type of distributed machine learning in which models learn by using large-scale decentralized data between servers and devices. In a short-range wireless communication environment, it can be difficult to apply federated learni
Externí odkaz:
https://doaj.org/article/0c7a2aa02e7c4ed29299a6d8b3f7fe56
Autor:
Jiseung Youn, Joohan Park, Joohyun Oh, Soohyeong Kim, Seyoung Ahn, Sunghyun Cho, Sangwoo Park, Cheolwoo You
Publikováno v:
Sensors, Vol 22, Iss 20, p 7959 (2022)
With the growing interest in the Internet of Things (IoT), research on massive machine-type communication (mMTC) services is being actively promoted. Because mMTC services are required to serve a large number of devices simultaneously, a lack of reso
Externí odkaz:
https://doaj.org/article/ff08104770f1490783fed238be7b050e
Publikováno v:
Sensors, Vol 13, Iss 10, Pp 13382-13401 (2013)
Mobile wireless multimedia sensor networks (WMSNs), which consist of mobile sink or sensor nodes and use rich sensing information, require much faster and more reliable wireless links than static wireless sensor networks (WSNs). This paper proposes a
Externí odkaz:
https://doaj.org/article/e7d2250fa86042d68b5a421745fcf895
Autor:
Cheolwoo You
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 48:409-412
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edff222abc1e9b8969e962bc44a4f1a2
https://doi.org/10.7840/kics.2023.48.4.409
https://doi.org/10.7840/kics.2023.48.4.409
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 48:350-358
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57a4e4ab3de1e708528eb1f264e767eb
https://doi.org/10.7840/kics.2023.48.3.350
https://doi.org/10.7840/kics.2023.48.3.350
Publikováno v:
The Journal of Korean Institute of Communications and Information Sciences. 47:198-205
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e47900584f356afd8d2363441c31dc07
https://doi.org/10.7840/kics.2022.47.1.198
https://doi.org/10.7840/kics.2022.47.1.198