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Takato Saito
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2020 – today
- 2022
- [c16]Akihiro Nakamura, Takato Saito, Daizo Ikeda, Ken Ohta, Hiroshi Mineno, Masafumi Nishimura:
Automatic Detection of Crushing Completion Timing of Food. LifeTech 2022: 516-518 - 2021
- [j4]Akihiro Nakamura, Takato Saito, Daizo Ikeda, Ken Ohta, Hiroshi Mineno, Masafumi Nishimura:
Automatic Detection of Chewing and Swallowing. Sensors 21(10): 3378 (2021) - [c15]Akihiro Nakamura, Takato Saito, Daizo Ikeda, Ken Ohta, Hiroshi Mineno, Masafumi Nishimura:
Automatic Detection of Chewing and Swallowing Using Attention-Based Fusion. GCCE 2021: 373-375 - [c14]Akihiro Nakamura, Takato Saito, Daizo Ikeda, Ken Ohta, Hiroshi Mineno, Masafumi Nishimura:
Automatic Detection of Chewing and Swallowing Using Multichannel Sound Information. LifeTech 2021: 173-175 - 2020
- [j3]Yu Abiko, Takato Saito, Daizo Ikeda, Ken Ohta, Tadanori Mizuno, Hiroshi Mineno:
Flexible Resource Block Allocation to Multiple Slices for Radio Access Network Slicing Using Deep Reinforcement Learning. IEEE Access 8: 68183-68198 (2020) - [c13]Akihiro Nakamura, Takato Saito, Daizo Ikeda, Ken Ohta, Hiroshi Mineno, Masafumi Nishimura:
A Data Augmentation Technique for Automatic Detection of Chewing Side and Swallowing. APSIPA 2020: 578-583 - [c12]Akihiro Nakamura, Ken Ohta, Takato Saito, Hiroshi Mineno, Daizo Ikeda, Masafumi Nishimura:
Automatic Detection of Chewing and Swallowing Using Hybrid CTC/Attention. GCCE 2020: 810-812 - [c11]Yu Abiko, Takato Saito, Daizo Ikeda, Ken Ohta, Tadanori Mizuno, Hiroshi Mineno:
Radio Resource Allocation Method for Network Slicing using Deep Reinforcement Learning. ICOIN 2020: 420-425 - [c10]Akihiro Nakamura, Hiroshi Mineno, Masafumi Nishimura, Takato Saito, Daizo Ikeda, Ken Ohta:
Automatic Detection of the Chewing Side Using Two-channel Recordings under the Ear. LifeTech 2020: 82-83
2010 – 2019
- 2019
- [j2]Daisuke Mochizuki, Yu Abiko, Takato Saito, Daizo Ikeda, Hiroshi Mineno:
Delay-Tolerance-Based Mobile Data Offloading Using Deep Reinforcement Learning. Sensors 19(7): 1674 (2019) - [c9]Yu Abiko, Daisuke Mochizuki, Takato Saito, Daizo Ikeda, Tadanori Mizuno, Hiroshi Mineno:
Proposal of Allocating Radio Resources to Multiple Slices in 5G using Deep Reinforcement Learning. GCCE 2019: 1-2 - [c8]Muhammad Mehedi Billah, Taiju Abe, Akihiro Nakamura, Hiroshi Mineno, Masafumi Nishimura, Takato Saito, Daizo Ikeda:
Estimation of Number of Chewing Strokes and Swallowing Events by Using LSTM-CTC and Throat Microphone. GCCE 2019: 920-921 - 2018
- [c7]Daisuke Mochizuki, Yu Abiko, Hiroshi Mineno, Takato Saito, Daizo Ikeda, Masaji Katagiri:
Deep Reinforcement Learning-Based Method of Mobile Data Offloading. ICMU 2018: 1-6 - 2017
- [c6]Yutaro Yamada, Takato Saito, Satoshi Kawasaki, Daizo Ikeda, Masaji Katagiri, Masafumi Nishimura, Hiroshi Mineno:
A Deep-Learning-Based Method of Estimating Water Intake. COMPSAC (2) 2017: 96-101 - [c5]Yutaro Yamada, Masafumi Nishimura, Hiroshi Mineno, Takato Saito, Satoshi Kawasaki, Daizo Ikeda, Masaji Katagiri:
Deep learning-based water-intake estimation method using second half of swallowing sound. GCCE 2017: 1-2 - 2014
- [j1]Masanobu Saito, Kentaro Kiuchi, Shogo Shimizu, Takayuki Yokota, Yusuke Fujino, Takato Saito, Yoji Kuroda:
Pre-Driving Needless System for Autonomous Mobile Robots Navigation in Real World Robot Challenge 2013. J. Robotics Mechatronics 26(2): 185-195 (2014) - [c4]Takato Saito, Kentaro Kiuchi, Yoji Kuroda:
Mobile robot localization system in frequent GPS-denied situations. ICRA 2014: 3944-3949 - 2013
- [c3]Takato Saito, Yoji Kuroda:
Mobile robot localization using multiple observations based on place recognition and GPS. ICRA 2013: 1548-1553 - [c2]Takato Saito, Yoji Kuroda:
Mobile robot localization by GPS and sequential appearance-based place recognition. SII 2013: 25-30 - 2012
- [c1]Takato Saito, Yoji Kuroda:
Localization independent of location based on place recognition and GPS observations. SII 2012: 43-48
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