Zobrazeno 1 - 10
of 33
pro vyhledávání: '"HIROTADA HONDA"'
Publikováno v:
2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).
Autor:
Hirotada Honda
Publikováno v:
IEICE Communications Express. 10:137-143
Autor:
Hirotada Honda
Publikováno v:
SIAM Journal on Applied Dynamical Systems. 20:1320-1347
We propose a framework of a reservoir with an inertial manifold, which is a finite-dimensional object that attracts all trajectories. In addition, based on the theoretical results concerning infini...
Autor:
Hirotada Honda
Publikováno v:
Japan Journal of Industrial and Applied Mathematics. 37:621-656
In this study, we discuss the sensitivity of a quantum PageRank. By utilizing the finite-dimensional perturbation theory, we estimate the change of the quantum PageRank under a small analytical perturbation on the Google matrix. In addition, we will
Autor:
Hirotada Honda, Takashi Sano, Shugo Nakamura, Mitsuaki Ueno, Hiroki Hanazawa, Nguyen Manh Duc Tuan
Publikováno v:
JSIAM Letters (Online); 2023, Vol. 15, p101-104, 4p
Autor:
Hiroshi Saito, Hirotada Honda
Publikováno v:
IEEE/ACM Transactions on Networking. 27:1084-1097
This paper proposes an algorithm for disaster avoidance control against heavy rainfall. According to weather information, the algorithm reconfigures a logical network (slice), including the migration of virtual machines (VMs), to avoid disasters. It
Autor:
Hirotada Honda, Hiroshi Saito
Publikováno v:
IEEE Transactions on Control of Network Systems. 6:94-103
We geometrically analyze the problem of estimating parameters related to the shape and size of a 2-D target object on the plane by using randomly distributed distance sensors whose locations are unknown. Based on the analysis using geometric probabil
Autor:
Hirotada Honda
Publikováno v:
Networks & Heterogeneous Media. 14:633-657
This paper is concerned with a target-detection model using bio-nanomachines in the human body that is actively being discussed in the field of molecular communication networks. Although the model was originally proposed as spatially one-dimensional,
Autor:
Hirotada Honda
Publikováno v:
ICAIIC
Reservoir computing based on machine learning has garnered significant attention in the field of research regrading time series prediction. Active discussions that were recently held on the theoretical background aided the reservoir to realize some d
Autor:
Hirotada Honda
Publikováno v:
International Journal of Apllied Mathematics. 33