Zobrazeno 1 - 10
of 471
pro vyhledávání: '"Hyung-Il Kim"'
Efficient deep reinforcement learning under task variations via knowledge transfer for drone control
Autor:
Sooyoung Jang, Hyung-Il Kim
Publikováno v:
ICT Express, Vol 10, Iss 3, Pp 576-582 (2024)
Despite the growing interest in using deep reinforcement learning (DRL) for drone control, several challenges remain to be addressed, including issues with generalization across task variations and agent training (which requires significant computati
Externí odkaz:
https://doaj.org/article/7ba408129a0445ffb70b0ebc96198b0b
Publikováno v:
ETRI Journal, Vol 45, Iss 5, Pp 795-810 (2023)
Unmanned aerial vehicles (UAV) and ground vehicles (UGV) require advanced video analytics for various tasks, such as moving object detection and segmentation; this has led to increasing demands for these methods. We propose a zero-shot video object s
Externí odkaz:
https://doaj.org/article/416c9f460e004621b38e81f0bd480aff
Autor:
Sooyoung Jang, Hyung-Il Kim
Publikováno v:
ICT Express, Vol 9, Iss 1, Pp 51-56 (2023)
Deep reinforcement learning (DRL) technology has been actively studied with the recent advances in deep learning. As a result, the researchers are continuously improving performance and expanding the applications. However, recent literature reports t
Externí odkaz:
https://doaj.org/article/dcda335362b444eba71c1e3b84b0eeca
Autor:
Hyung Il Kim1, Tae Hun Lee2 ion2674@naver.com
Publikováno v:
Signa Vitae. Jan2024, Vol. 20 Issue 1, p63-70. 8p.
Autor:
Hyung Il Kim, Jinhyeon Kim, Hyori Kim, Hyeri Lee, Yong Sik Yoon, Sung Wook Hwang, Sang Hyoung Park, Dong-Hoon Yang, Byong Duk Ye, Jeong-Sik Byeon, Suk-Kyun Yang, Sun Young Kim, Seung-Jae Myung
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract For the sensitive diagnosis of colorectal cancer lesions, advanced molecular imaging techniques using cancer-specific targets have emerged. However, issues regarding the clearance of unbound probes and immunogenicity remain unresolved. To ov
Externí odkaz:
https://doaj.org/article/07439de36e144e6a9651897241ee385b
Autor:
Kyoung-Moon Han, You Kyung Kim, Sowoon Seo, Jun Hyoung Kim, Ji Hyun Lee, Hyung Il Kim, Sooyeul Cho
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 5967 (2023)
Even though synthetic colorants can cause side effects such as allergies and pigmentation, they have not been sufficiently researched. Herein, high-performance liquid chromatography, liquid chromatography-tandem mass spectrometry, and liquid chromato
Externí odkaz:
https://doaj.org/article/0d011ce131164fe6bac094544b2f3423
Autor:
Kyoung-Chul Cha1, Hyung Il Kim2, Yoon Suk Lee1, Hye Sim Kim3, Woo Jin Jung1, Young Il Roh1, Sung Oh Hwang1 shwang@yonsei.ac.kr
Publikováno v:
Signa Vitae. Mar2023, Vol. 19 Issue 2, p66-73. 8p.
Publikováno v:
IEEE Access, Vol 9, Pp 163054-163064 (2021)
Video classification researches have recently attracted attention in the fields of temporal modeling and efficient 3D convolutional architectures. However, the temporal modeling methods are not efficient, and there is little interest in how to deal w
Externí odkaz:
https://doaj.org/article/8924e77e5452400eb3d47717df34df8f
Publikováno v:
SAGE Open Medicine, Vol 10 (2022)
Objectives: C-reactive protein is well known as an inflammatory indicator in injury, infection, and cancer. However, little is known about its role in poisoning. C-reactive protein levels first increase and then decrease within several days during po
Externí odkaz:
https://doaj.org/article/e2ca23ae44cc4f7c93d57b194e27e147
Autor:
Sooyoung Jang, Hyung-Il Kim
Publikováno v:
Sensors, Vol 22, Iss 15, p 5845 (2022)
Effective exploration is one of the critical factors affecting performance in deep reinforcement learning. Agents acquire data to learn the optimal policy through exploration, and if it is not guaranteed, the data quality deteriorates, which leads to
Externí odkaz:
https://doaj.org/article/4a5931f0a87e49218d6a991285c879f3