Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Tomoya Koike"'
Autor:
Kun Qian, Zhihao Bao, Zhonghao Zhao, Tomoya Koike, Fengquan Dong, Maximilian Schmitt, Qunxi Dong, Jian Shen, Weipeng Jiang, Yajuan Jiang, Bo Dong, Zhenyu Dai, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Publikováno v:
Cyborg and Bionic Systems, Vol 5 (2024)
Leveraging the power of artificial intelligence to facilitate an automatic analysis and monitoring of heart sounds has increasingly attracted tremendous efforts in the past decade. Nevertheless, lacking on standard open-access database made it diffic
Externí odkaz:
https://doaj.org/article/131945e6d29347be828b5b8375bba358
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:11539-11548
Drowsiness detection is a crucial step for safe driving. A plethora of efforts has been invested on using pervasive sensor data (e.,g., video, physiology) empowered by machine learning to build an automatic drowsiness detection system. Nevertheless,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7124a31991d95bf53704bfbf84db819e
https://doi.org/10.1109/tits.2021.3105326
https://doi.org/10.1109/tits.2021.3105326
Autor:
Zhao Ren, Tomoya Koike, Kun Qian, Huaiyuan Zheng, Yoshiharu Yamamoto, Meishu Song, Wei Ji, Björn Schuller, Junjun Duan, Juan Liu, Shuo Liu, Zixing Zhang, Maximilian Schmitt, Jing Han, Zijiang Yang
Publikováno v:
IEEE Internet of Things Journal. 8:16035-16046
Computer audition (CA) has experienced a fast development in the past decades by leveraging advanced signal processing and machine learning techniques. In particular, for its noninvasive and ubiquitous character by nature, CA-based applications in he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2ca3004b699d1133bd1fc3fbe2c43f6
https://doi.org/10.1109/jiot.2021.3067605
https://doi.org/10.1109/jiot.2021.3067605
Autor:
Chie Takahashi-Muto, Rieko Tanaka-Yachi, Tomoya Koike, Kazutaka Sakiya, Mana Nagase, Yoshimni Yabe, Haruka Takeuchi, Chikako Kiyose
Publikováno v:
Journal of Oleo Science. 70:1317-1323
This study aimed to determine if there are anti-inflammatory and anti-obesity effects of sweet basil, an herb, in mice. Sweet basil was administered as a powder to male C57BL/6JJcl mice, which were divided into three groups: the (control [C], high-fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afd446b12d7e89919eed67b368f98335
https://doi.org/10.5650/jos.ess21139
https://doi.org/10.5650/jos.ess21139
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Human auscultation has been regarded as a cheap, convenient and efficient method for the diagnosis of cardiovascular diseases. Nevertheless, training professional auscultation skills needs tremendous efforts and is time-consuming. Computer audition (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe859f713ae4e8d603c0570bd4c95096
https://doi.org/10.1109/embc46164.2021.9629714
https://doi.org/10.1109/embc46164.2021.9629714
Autor:
Chikako, Kiyose, Haruka, Takeuchi, Yoshimni, Yabe, Tomoya, Koike, Kazutaka, Sakiya, Mana, Nagase, Rieko, Tanaka-Yachi, Chie, Takahashi-Muto
Publikováno v:
Journal of oleo science. 70(9)
This study aimed to determine if there are anti-inflammatory and anti-obesity effects of sweet basil, an herb, in mice. Sweet basil was administered as a powder to male C57BL/6JJcl mice, which were divided into three groups: the (control [C], high-fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7a8973b3b459c681664a39b21ab24013
https://pubmed.ncbi.nlm.nih.gov/34373411
https://pubmed.ncbi.nlm.nih.gov/34373411
Studying the animal models of human neuropsychiatric disorders can facilitate the understanding of mechanisms of symptoms both physiologically and genetically. Previous studies have shown that ultrasonic vocalisations (USVs) of mice might be efficien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::054c1c4681aebab30407ca54af987206
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91489
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91489
Over the last half decade, fast development of the Internet of Things and machine learning (ML) made it feasible to leverage the power of artificial intelligence to facilitate a variety of intelligent systems in smart home. Nevertheless, the studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d62458f463035ad0948ba8d4c94701ba
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/87696
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/87696
Autor:
Juan Liu, Zhao Ren, Shuo Liu, Kun Qian, Huaiyuan Zheng, Zixing Zhang, Yoshiharu Yamamoto, Björn Schuller, Meishu Song, Xiao Li, Zijiang Yang, Wei Ji, Tomoya Koike, Jing Han
Publikováno v:
INTERSPEECH
The COVID-19 outbreak was announced as a global pandemic by the World Health Organisation in March 2020 and has affected a growing number of people in the past few weeks In this context, advanced artificial intelligence techniques are brought to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36f56648d1db166f10b1d52f9f284b04
https://doi.org/10.21437/interspeech.2020-2223
https://doi.org/10.21437/interspeech.2020-2223
Publikováno v:
EMBC
Cardiovascular disease is one of the leading factors for death cause of human beings. In the past decade, heart sound classification has been increasingly studied for its feasibility to develop a non-invasive approach to monitor a subject's health st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bd45bc3ee2b58373ca08535ea0a0c6c
https://opus.bibliothek.uni-augsburg.de/opus4/files/91681/91681.pdf
https://opus.bibliothek.uni-augsburg.de/opus4/files/91681/91681.pdf