Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Masaki, Onishi"'
Publikováno v:
Journal of Infection and Public Health, Vol 17, Iss , Pp 8-10 (2024)
Mass gathering events in Japan have gradually mitigated their novel coronavirus disease (COVID-19) control regulations, along with a minimum infection risk. The Japan Professional Football League (J.League) conducted pilot surveys on holding events w
Externí odkaz:
https://doaj.org/article/d9d9bdc88fab477a8e3e56e2cf599106
Publikováno v:
IEEE Access, Vol 10, Pp 124114-124129 (2022)
We investigate the benefits of introducing meeting points (MPs) into on-demand shared mobility services (OSMS). OSMS generally provide door-to-door transportation between passengers’ origins and destinations. In addition, services using specific pi
Externí odkaz:
https://doaj.org/article/9826223ff48d4a55a936ec54ea8e4042
Publikováno v:
IEEE Access, Vol 9, Pp 38718-38730 (2021)
Sound source localization and separation are essential functions for robot audition to comprehend acoustic environments. The widely-used multiple signal classification (MUSIC) can precisely estimate the directions of arrival (DoAs) of multiple sound
Externí odkaz:
https://doaj.org/article/c46a8e69a6bb4fe7b99ff16855a5a28c
Publikováno v:
IEEE Access, Vol 9, Pp 129385-129393 (2021)
This paper presents a scrambling inversion attack using a generative adversarial network (SIA-GAN). This method aims to evaluate the privacy protection level achieved by image scrambling method. For privacy-preserving machine learning, scrambled imag
Externí odkaz:
https://doaj.org/article/ca8782c928c44c2fae6f85893f3c0bb7
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4225 (2022)
We developed a robust object-level change detection method that could capture distinct scene changes in an image pair with viewpoint differences. To achieve this, we designed a network that could detect object-level changes in an image pair. In contr
Externí odkaz:
https://doaj.org/article/d2b926d0af5b47429f3e9e0c65726cd0
Publikováno v:
IEEE Signal Processing Letters. 30:384-388
Publikováno v:
Optimization Letters. 17:283-297
Black-box optimization (BBO) algorithms are widely employed by practitioners to address computationally expensive real-world problems such as automatic tuning of machine learning models and evacuation route planning. The Nelder–Mead (NM) method is
Publikováno v:
Journal of Infection and Public Health.
Publikováno v:
Journal of Artificial Intelligence Research. 73:1209-1250
Practitioners often encounter challenging real-world problems that involve a simultaneous optimization of multiple objectives in a complex search space. To address these problems, we propose a practical multiobjective Bayesian optimization algorithm.
Publikováno v:
Journal of Information Processing. 30:42-51