Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Seungwoo Jeong"'
Autor:
Seungwoo Jeong, Vadim Schütz, Fatih Demir, Matthias Preusche, Pitter Huesgen, Laurent Bigler, Filip Kovacic, Katharina Gutbrod, Peter Dörmann, Margot Schulz
Publikováno v:
Plants, Vol 13, Iss 20, p 2897 (2024)
The continuous release of glucosinolates into the soil by Brassicaceae root exudation is a prerequisite to maintaining toxic levels of breakdown products such as isothiocyanates (ITCs). ITCs influence plant and microbial diversity in ecosystems, whil
Externí odkaz:
https://doaj.org/article/8d31e9cd7849478ab1c5d5dec14008de
Autor:
Diana Hofmann, Björn Thiele, Meike Siebers, Mehdi Rahmati, Vadim Schütz, Seungwoo Jeong, Jiaxin Cui, Laurent Bigler, Federico Held, Bei Wu, Nikolina Babic, Filip Kovacic, Joachim Hamacher, Georg Hölzl, Peter Dörmann, Margot Schulz
Publikováno v:
Plants, Vol 12, Iss 15, p 2815 (2023)
Toxic breakdown products of young Camelina sativa (L.) Crantz, glucosinolates can eliminate microorganisms in the soil. Since microorganisms are essential for phosphate cycling, only insensitive microorganisms with phosphate-solubilizing activity can
Externí odkaz:
https://doaj.org/article/23642ac34f704d609ee2a164b5f538d2
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8084 (2022)
A traffic management system can be used to control multiple automated mobile robots (AMRs) effectively. This paper proposes traffic management for multiple AMRs based on a layered cost map in ROS 2 for multiple purposes. Using the layered cost map, t
Externí odkaz:
https://doaj.org/article/0cd1ceba05d94a80b178aaeed2095d39
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
Brain–computer interfaces (BCIs) utilizing machine learning techniques are an emerging technology that enables a communication pathway between a user and an external system, such as a computer. Owing to its practicality, electroencephalography (EEG
Externí odkaz:
https://doaj.org/article/52dcf19fccfd4e9698841b76a2c0aefa
Publikováno v:
2023 11th International Winter Conference on Brain-Computer Interface (BCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c48744af967f0ad43aefb6033f233e70
https://doi.org/10.1109/bci57258.2023.10078451
https://doi.org/10.1109/bci57258.2023.10078451
Autor:
Seungwoo Jeong, Eunjin Jeon, Seungpyo Noh, Jinsool Lee, Hyungjin Kim, Seonguk Kim, Heung-Il Suk
Publikováno v:
2023 11th International Winter Conference on Brain-Computer Interface (BCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b2cfb755a9dccbabd847bd5e9544496
https://doi.org/10.1109/bci57258.2023.10078644
https://doi.org/10.1109/bci57258.2023.10078644
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fd3083537c75a1dbb93fd038485dc36
https://doi.org/10.2139/ssrn.4461370
https://doi.org/10.2139/ssrn.4461370
Autor:
Margot Schulz, Diana Hofmann, Björn Thiele, Mehdi Rahmati, Meike Siebers, Vadim Schütz, Seungwoo Jeong, Laurent Bigler, Federico Held, Bei Wu, Nikolina Babic, Filip Kovacic, Joachim Hamacher, Georg Hölzl, Peter Dörmann
BACKGROUND and AIMS Glucosinolates and isothiocyanates of young Camelina sativa (L.) Crantz can eliminate microbial species in the soil. It was aimed to demonstrate that only isothiocyanate insensitive microorganisms with phosphate solubilizing activ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb9f4cd42e7bdcde524221b7c9fa25df
https://doi.org/10.21203/rs.3.rs-2247394/v1
https://doi.org/10.21203/rs.3.rs-2247394/v1
Publikováno v:
2022 IEEE International Conference on Data Mining (ICDM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::686290b9ea4f2fae0523f4a278906304
https://doi.org/10.1109/icdm54844.2022.00031
https://doi.org/10.1109/icdm54844.2022.00031
Publikováno v:
IEEE Computational Intelligence Magazine. 16:31-45
Recent advances in deep learning have had a methodological and practical impact on brain-computer interface research. Among the various deep network architectures, convolutional neural networks have been well suited for spatio-spectral-temporal elect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e04d666dea7bd3fb460930fb8668fd16
https://doi.org/10.1109/mci.2021.3061875
https://doi.org/10.1109/mci.2021.3061875