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pro vyhledávání: '"OGAWA, DAISUKE"'
The efficient exploration of expansive material spaces remains a significant challenge in materials science. To address this issue, autonomous material search methods that combine machine learning with ab initio calculations have emerged as a promisi
Externí odkaz:
http://arxiv.org/abs/2411.18907
Autor:
Suzuki, Kenya, Moriwaki, Osamu, Hadama, Koichi, Yamaguchi, Keita, Taniguchi, Hiroki, Kisaka, Yoshiaki, Ogawa, Daisuke, Takeshita, Makoto, Camatel, Stefano, Ma, Yiran, Fukutoku, Mitsunori
Colorless, directionless, and contentionless reconfigurable optical add/drop multiplexing (CDC-ROADM) provides highly flexible physical layer network configuration. Such CDC-ROADM must operate in multiple wavelength bands which are being increasingly
Externí odkaz:
http://arxiv.org/abs/2209.10084
Autor:
Yamamoto, Shuto, Taniguchi, Hiroki, Kisaka, Yoshiaki, Camatel, Stefano, Ma, Yiran, Ogawa, Daisuke, Hadama, Koichi, Fukutoku, Mitsunori, Goh, Takashi, Suzuki, Kenya
While ultrahigh-baud-rate optical signals are effective for extending the transmission distance of large capacity signals, they also reduce the number of wavelengths that can be arranged in a band because of their wider bandwidth. This reduces the fl
Externí odkaz:
http://arxiv.org/abs/2106.02376
Publikováno v:
In Vacuum April 2024 222
Akademický článek
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Publikováno v:
In European Polymer Journal 5 January 2024 202
Autor:
Ogawa, Daisuke, Tamaki, Toru, Hirakawa, Tsubasa, Raytchev, Bisser, Kaneda, Kazufumi, Yoda, Ken
An efficient inverse reinforcement learning for generating trajectories is proposed based of 2D and 3D activity forecasting. We modify reward function with $L_p$ norm and propose convolution into value iteration steps, which is called convolutional v
Externí odkaz:
http://arxiv.org/abs/1912.05729
Publikováno v:
Advanced Robotics, Volume 33, 2019 - Issue 3-4: Special Issue on Systems Science of Bio-navigation, Pages 153-168
In this paper, we propose a method for semantic segmentation of pedestrian trajectories based on pedestrian behavior models, or agents. The agents model the dynamics of pedestrian movements in two-dimensional space using a linear dynamics model and c
Externí odkaz:
http://arxiv.org/abs/1912.05727
Autor:
Suzuki, Tomoya, Takei, Jun, Fukasawa, Nei, Suzuki, Kenta, Ogawa, Daisuke, Yamamoto, Yohei, Akasaki, Yasuharu, Murayama, Yuichi, Shimoda, Masayuki, Miyake, Keisuke, Tanaka, Toshihide
Publikováno v:
In World Neurosurgery July 2023 175:e1364-e1374
Akademický článek
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