Zobrazeno 1 - 10
of 15
pro vyhledávání: '"JaeSeok Ki"'
Autor:
Jae-Min Kwon, Hosaeng Choi, JaeSeok Ki, Sang Yun Park, Sang Hyeon Park, Young Jin Kim, Hanju Cho, Soojin Kim, Hyun Sic Chae, Kun-Su Lee, Minho Woo, Taegu Lee, Dosub Lee, Jinseop Park, Taehyun Tak, Tongnyeol Rhee, Kimin Kim, Hyunsun Han
Publikováno v:
Fusion Engineering and Design. 184:113281
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::298bc7dd9c653003528bc33c1d4e3d4e
https://doi.org/10.1016/j.fusengdes.2022.113281
https://doi.org/10.1016/j.fusengdes.2022.113281
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 19, Iss 1, Pp 1-25 (2022)
Abstract Background Service robots are defined as reprogrammable, sensor-based mechatronic devices that perform useful services in an autonomous or semi-autonomous way to human activities in an everyday environment. As the number of elderly people gr
Externí odkaz:
https://doaj.org/article/f3d08c2fe8d242089856d1457501ae24
Autor:
Jaekak Yoo, Jae Won Choi, Eunha Kim, Eun-Jung Park, Ahruem Baek, Jaeseok Kim, Mun Seok Jeong, Youngwoo Cho, Tae Geol Lee, Min Beom Heo
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035063 (2024)
This study investigated the applicability of the area of spheroids and hypoxic regions for efficient evaluation of drug efficacy using machine learning (ML). We initially developed a high-throughput detection method to obtain the area of spheroids an
Externí odkaz:
https://doaj.org/article/de0d0ff4b5484959a7c3458ca496173a
Autor:
Jae Won Choi, In Young Kim, Minjeong Kwak, Jaeseok Kim, Sohee Yoon, Hyun Jun Jang, Tae Geol Lee, Min Beom Heo
Publikováno v:
Micro & Nano Letters, Vol 17, Iss 3, Pp 59-67 (2022)
Abstract Nanomaterials such as silica (SiO2) nanoparticles (NPs) are used in various fields owing to their unique properties, especially in biomedical applications. It has been reported that these particles induce different kinds of toxicity in vario
Externí odkaz:
https://doaj.org/article/45b087d6dfab48c79a98decdb8b5293b
Publikováno v:
Robotics, Vol 12, Iss 2, p 41 (2023)
Vision-based pose detection and grasping complex-shaped and thin objects are challenging tasks. We propose an architecture that integrates the Generative Grasping Convolutional Neural Network (GG-CNN) with depth recognition to identify a suitable gra
Externí odkaz:
https://doaj.org/article/2c4e365ef91f498582a3392db547d5f9
Publikováno v:
IEEE Access, Vol 9, Pp 8278-8285 (2021)
With the recent development of GPUs, the depth of convolutional neural networks (CNNs) has increased, and its structure has become complex. Hence, it is challenging to deploy them into a hardware device owing to its immense computational cost and mem
Externí odkaz:
https://doaj.org/article/fa982078516b49fcb66a5b2494b02e6f
Publikováno v:
Sensors, Vol 22, Iss 23, p 9544 (2022)
As the elderly population grows, there is a need for caregivers, which may become unsustainable for society. In this situation, the demand for automated help increases. One of the solutions is service robotics, in which robots have automation and sho
Externí odkaz:
https://doaj.org/article/5a1b480850d04cf9834b4580f9cf49dc
Autor:
Ruud Peters, Ingrid Elbers, Anna Undas, Eelco Sijtsma, Sophie Briffa, Pauline Carnell-Morris, Agnieszka Siupa, Tae-Hyun Yoon, Loïc Burr, David Schmid, Jutta Tentschert, Yves Hachenberger, Harald Jungnickel, Andreas Luch, Florian Meier, Jovana Kocic, Jaeseok Kim, Byong Chon Park, Barry Hardy, Colin Johnston, Kerstin Jurkschat, Jörg Radnik, Vasile-Dan Hodoroaba, Iseult Lynch, Eugenia Valsami-Jones
Publikováno v:
Molecules, Vol 27, Iss 15, p 4849 (2022)
Due to miscommunication a number of potential co-authors were not listed in the original publication [...]
Externí odkaz:
https://doaj.org/article/367809f040b44de08f100b29a2dd6b62
Publikováno v:
Nanomaterials, Vol 12, Iss 6, p 993 (2022)
Nanomaterial toxicity tests using normal and cancer cells may yield markedly different results. Here, nanomaterial toxicity between cancer and primary human cells was compared to determine the basic cell line selection criteria for nanomaterial toxic
Externí odkaz:
https://doaj.org/article/5a907d5f8c3c47099a3fc3355eec873b
Autor:
Ruud Peters, Ingrid Elbers, Anna Undas, Eelco Sijtsma, Sophie Briffa, Pauline Carnell-Morris, Agnieszka Siupa, Tae-Hyun Yoon, Loïc Burr, David Schmid, Jutta Tentschert, Yves Hachenberger, Harald Jungnickel, Andreas Luch, Florian Meier, Jovana Kocic, Jaeseok Kim, Byong Chon Park, Barry Hardy, Colin Johnston, Kerstin Jurkschat, Jörg Radnik, Vasile-Dan Hodoroaba, Iseult Lynch, Eugenia Valsami-Jones
Publikováno v:
Molecules, Vol 26, Iss 17, p 5315 (2021)
ACEnano is an EU-funded project which aims at developing, optimising and validating methods for the detection and characterisation of nanomaterials (NMs) in increasingly complex matrices to improve confidence in the results and support their use in r
Externí odkaz:
https://doaj.org/article/b1b9166fb08d40349632d50ac906557c