Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Sang-Hyeon Bae"'
Autor:
Sumaira Manzoor, Eun-Jin Kim, Sung-Hyeon Joo, Sang-Hyeon Bae, Gun-Gyo In, Kyeong-Jin Joo, Jun-Hyeon Choi, Tae-Yong Kuc
Publikováno v:
IEEE Access, Vol 10, Pp 77898-77921 (2022)
Deep learning based models on the edge devices have received considerable attention as a promising means to handle a variety of AI applications. However, deploying the deep learning models in the production environment with efficient inference on the
Externí odkaz:
https://doaj.org/article/b9ece7e93f7449c9a76760d6abe80c71
Publikováno v:
Sensors, Vol 22, Iss 23, p 9094 (2022)
Autonomous driving and its real-world implementation have been among the most actively studied topics in the past few years. In recent years, this growth has been accelerated by the development of advanced deep learning-based data processing technolo
Externí odkaz:
https://doaj.org/article/74cc792ab4954b569bb01ae72eaae586
Autor:
Sumaira Manzoor, Sung-Hyeon Joo, Eun-Jin Kim, Sang-Hyeon Bae, Gun-Gyo In, Jeong-Won Pyo, Tae-Yong Kuc
Publikováno v:
Sensors, Vol 21, Iss 21, p 7120 (2021)
3D visual recognition is a prerequisite for most autonomous robotic systems operating in the real world. It empowers robots to perform a variety of tasks, such as tracking, understanding the environment, and human–robot interaction. Autonomous robo
Externí odkaz:
https://doaj.org/article/6bdb6e1ff3e244708b4bddff5ffee102
Autor:
Sumaira Manzoor, Yuri Goncalves Rocha, Sung-Hyeon Joo, Sang-Hyeon Bae, Eun-Jin Kim, Kyeong-Jin Joo, Tae-Yong Kuc
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4324 (2021)
Knowledge representation in autonomous robots with social roles has steadily gained importance through their supportive task assistance in domestic, hospital, and industrial activities. For active assistance, these robots must process semantic knowle
Externí odkaz:
https://doaj.org/article/552c46b75040457298801a69d80d50b9
Autor:
Sung-Hyeon Joo, Sumaira Manzoor, Yuri Goncalves Rocha, Sang-Hyeon Bae, Kwang-Hee Lee, Tae-Yong Kuc, Minsung Kim
Publikováno v:
Applied Sciences, Vol 10, Iss 9, p 3219 (2020)
Humans have an innate ability of environment modeling, perception, and planning while simultaneously performing tasks. However, it is still a challenging problem in the study of robotic cognition. We address this issue by proposing a neuro-inspired c
Externí odkaz:
https://doaj.org/article/e3623ecb51c84605a61ddb507a8a0800
Publikováno v:
2022 19th International Conference on Ubiquitous Robots (UR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1678253250f84e919c72e32c41d064dd
https://doi.org/10.1109/ur55393.2022.9826258
https://doi.org/10.1109/ur55393.2022.9826258
Publikováno v:
2022 19th International Conference on Ubiquitous Robots (UR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::670549760abc76470049cf2f5f7c1c09
https://doi.org/10.1109/ur55393.2022.9826250
https://doi.org/10.1109/ur55393.2022.9826250
Autor:
Sang Hyeon Bae, Young-Soo Kim, Tae-Won Yang, Dohyung Kim, Ga-In Kim, Oh-Young Kwon, Seokwon Jung, Min Su Kim
Publikováno v:
Korean Journal of Clinical Laboratory Science, Vol 52, Iss 3, Pp 194-201 (2020)
Latency and amplitude are the measurement parameters of mismatch negativity (MMN). The values of the parameters vary sensitively with the stimulus paradigm. A paradigm using the frequency difference of sounds for the MMN study is well known. This stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::831e0c8fcc2e461f83229a7ff09c3be5
https://doaj.org/article/a94188a5a7a1432586895c53a99fcdd5
https://doaj.org/article/a94188a5a7a1432586895c53a99fcdd5
Publikováno v:
Journal of Image and Graphics. 10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::917fd102c3bb96fda62ce1437407f520
https://doi.org/10.18178/joig.10.3.102-108
https://doi.org/10.18178/joig.10.3.102-108
Autor:
Eun-Jin Kim, Jeongwon Pyo, Sang-Hyeon Bae, Sumaira Manzoor, Gun-Gyo In, Tae-Yong Kuc, Sung-Hyeon Joo
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 7120, p 7120 (2021)
Sensors, Vol 21, Iss 7120, p 7120 (2021)
3D visual recognition is a prerequisite for most autonomous robotic systems operating in the real world. It empowers robots to perform a variety of tasks, such as tracking, understanding the environment, and human–robot interaction. Autonomous robo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa49e4001f139030048b28b206bae156
http://europepmc.org/articles/PMC8587961
http://europepmc.org/articles/PMC8587961