| Mission to earth–moon lagrange point by a 6u cubesat: Equuleus R Funase, S Ikari, K Miyoshi, Y Kawabata, S Nakajima, S Nomura, ... IEEE Aerospace and Electronic Systems Magazine 35 (3), 30-44, 2020 | 70 | 2020 |
| Determinant-based fast greedy sensor selection algorithm Y Saito, T Nonomura, K Yamada, K Nakai, T Nagata, K Asai, Y Sasaki, ... IEEE Access 9, 68535-68551, 2021 | 66 | 2021 |
| Verification firings of end-burning type hybrid rockets H Nagata, H Teraki, Y Saito, R Kanai, H Yasukochi, M Wakita, T Totani Journal of propulsion and power 33 (6), 1473-1477, 2017 | 51 | 2017 |
| Fuel regression characteristics of a novel axial-injection end-burning hybrid rocket Y Saito, T Yokoi, H Yasukochi, K Soeda, T Totani, M Wakita, H Nagata Journal of Propulsion and Power 34 (1), 247-259, 2018 | 48* | 2018 |
| Method for determining nozzle-throat-erosion history in hybrid rockets L Kamps, Y Saito, R Kawabata, M Wakita, T Totani, Y Takahashi, ... Journal of propulsion and power 33 (6), 1369-1377, 2017 | 41 | 2017 |
| Fast greedy optimization of sensor selection in measurement with correlated noise K Yamada, Y Saito, K Nankai, T Nonomura, K Asai, D Tsubakino Mechanical Systems and Signal Processing 158, 107619, 2021 | 40 | 2021 |
| Data-driven Vector-measurement-sensor Selection based on Greedy Algorithm Y Saito, T Nonomura, K Nankai, K Yamada, K Asai, Y Tsubakino, ... IEEE Sensors Letters 4, 2020 | 34 | 2020 |
| Data-driven sparse sensor selection based on A-optimal design of experiment with ADMM T Nagata, T Nonomura, K Nakai, K Yamada, Y Saito, S Ono IEEE Sensors Journal 21 (13), 15248-15257, 2021 | 33 | 2021 |
| Effect of objective function on data-driven greedy sparse sensor optimization K Nakai, K Yamada, T Nagata, Y Saito, T Nonomura IEEE Access 9, 46731-46743, 2021 | 32 | 2021 |
| Investigation of graphite nozzle erosion in hybrid rockets using oxygen/high-density polyethylene L Kamps, S Hirai, K Sakurai, T Viscor, Y Saito, R Guan, H Isochi, N Adachi, ... Journal of propulsion and power 36 (3), 423-434, 2020 | 32* | 2020 |
| High pressure fuel regression characteristics of axial-injection end-burning hybrid rockets Y Saito, M Kimino, A Tsuji, Y Okutani, K Soeda, H Nagata Journal of Propulsion and Power 35 (2), 328-341, 2019 | 29* | 2019 |
| Comprehensive Data Reduction for N2O/HDPE Hybrid Rocket Motor Performance Evaluation L Kamps, K Sakurai, Y Saito, H Nagata Aerospace 6 (4), 45, 2019 | 25 | 2019 |
| Feasibility study on real-time observation of flow velocity field using sparse processing particle image velocimetry N Kanda, K Nakai, Y Saito, T Nonomura, K Asai Transactions of the Japan Society for Aeronautical and Space Sciences 64 (4 …, 2021 | 24 | 2021 |
| Randomized subspace newton convex method applied to data-driven sensor selection problem T Nonomura, S Ono, K Nakai, Y Saito IEEE Signal Processing Letters 28, 284-288, 2021 | 23 | 2021 |
| The accuracy of reconstruction techniques for determining hybrid rocket fuel regression rate Y Saito, LT Kamps, K Komizu, D Bianchi, F Nasuti, H Nagata 2018 Joint Propulsion Conference, 4923, 2018 | 20 | 2018 |
| Data-Driven Determinant-Based Greedy Under/Oversampling Vector Sensor Placement. Y Saito, K Yamada, N Kanda, K Nakai, T Nagata, T Nonomura, K Asai CMES-Computer Modeling in Engineering & Sciences 129 (1), 2021 | 19 | 2021 |
| Greedy sensor selection for weighted linear least squares estimation under correlated noise K Yamada, Y Saito, T Nonomura, K Asai IEEE Access 10, 79356-79364, 2022 | 18* | 2022 |
| Randomized group-greedy method for large-scale sensor selection problems T Nagata, K Yamada, K Nakai, Y Saito, T Nonomura IEEE Sensors Journal 23 (9), 9536-9548, 2023 | 17 | 2023 |
| Data-driven sensor selection method based on proximal optimization for high-dimensional data with correlated measurement noise T Nagata, K Yamada, T Nonomura, K Nakai, Y Saito, S Ono IEEE Transactions on Signal Processing 70, 5251-5264, 2022 | 17 | 2022 |
| Optimization of sparse sensor placement for estimation of wind direction and surface pressure distribution using time-averaged pressure-sensitive paint data on automobile model R Inoba, K Uchida, Y Iwasaki, T Nagata, Y Ozawa, Y Saito, T Nonomura, ... Journal of Wind Engineering and Industrial Aerodynamics 227, 105043, 2022 | 17 | 2022 |
Taku NonomuraDepartment of Aerospace Engineering, Graduate School of Engineering, Nagoya University在 mae.nagoya-u.ac.jp 的电子邮件经过验证
