Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Inoue, Sozo"'
Autor:
Kaneko, Haru, Inoue, Sozo
In this paper, we propose a feature pioneering method using Large Language Models (LLMs). In the proposed method, we use Chat-GPT 1 to find new sensor locations and new features. Then we evaluate the machine learning model which uses the found featur
Externí odkaz:
http://arxiv.org/abs/2306.16017
Autor:
Nohara, Yasunobu, Kai, Eiko, Ghosh, Partha Pratim, Islam, Rafiqul, Ahmed, Ashir, Kuroda, Masahiro, Inoue, Sozo, Hiramatsu, Tatsuo, Kimura, Michio, Shimizu, Shuji, Kobayashi, Kunihisa, Baba, Yukino, Kashima, Hisashi, Tsuda, Koji, Sugiyama, Masashi, Blondel, Mathieu, Ueda, Naonori, Kitsuregawa, Masaru, Nakashima, Naoki
Publikováno v:
Journal of Medical Internet Research, Vol 17, Iss 1, p e2 (2015)
BackgroundThe prevalence of non-communicable diseases is increasing throughout the world, including developing countries. ObjectiveThe intent was to conduct a study of a preventive medical service in a developing country, combining eHealth checkups
Externí odkaz:
https://doaj.org/article/0e99dcb9aeb94c79a01c1ea0f42d4dec
Autor:
Nishio, Nobuhiko, Sumi, Yasuyuki, Kawahara, Yoshihiro, Inoue, Sozo, Murao, Kazuya, Terada, Tsutomu, Kaji, Katsuhiko, Iwasaki, Yohei, Ogawa, Nobuhiro, Kawaguchi, Nobuo
Article No.27
Externí odkaz:
http://hdl.handle.net/2237/15469
The understanding of sensor data has been greatly improved by advanced deep learning methods with big data. However, available sensor data in the real world are still limited, which is called the opportunistic sensor problem. This paper proposes a ne
Externí odkaz:
http://arxiv.org/abs/2007.10394
Autor:
Lago, Paula, Takeda, Shingo, Alia, Sayeda Shamma, Adachi, Kohei, Bennai, Brahim, Charpillet, Francois, Inoue, Sozo
Complex activity recognition can benefit from understanding the steps that compose them. Current datasets, however, are annotated with one label only, hindering research in this direction. In this paper, we describe a new dataset for sensor-based act
Externí odkaz:
http://arxiv.org/abs/2006.10681
In this study, we propose a method for single sensor-based activity recognition, trained with data from multiple sensors. There is no doubt that the performance of complex activity recognition systems increases when we use enough sensors with suffici
Externí odkaz:
http://arxiv.org/abs/2002.11284
Autor:
Garcia, Christina1 (AUTHOR) garcia.christina-alvarez442@mail.kyutech.jp, Inoue, Sozo1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jan2024, Vol. 24 Issue 2, p319. 26p.
Publikováno v:
In Procedia Computer Science 2022 196:684-691
Autor:
Fikry, Muhammad1,2 (AUTHOR) muh.fikry@unimal.ac.id, Inoue, Sozo1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jul2023, Vol. 23 Issue 14, p6510. 23p.
Publikováno v:
In Computer Methods and Programs in Biomedicine October 2021 210