| 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 | 60 | 2021 |
| 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 Sasaki, ... IEEE Sensors Letters 4 (7), 1-4, 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 | 32 | 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 | 31 | 2021 |
| 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 | 17* | 2022 |
| 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 | 16 | 2022 |
| Proof-of-concept study of sparse processing particle image velocimetry for real time flow observation N Kanda, C Abe, S Goto, K Yamada, K Nakai, Y Saito, K Asai, ... Experiments in Fluids 63 (9), 143, 2022 | 16 | 2022 |
| Seismic wavefield reconstruction based on compressed sensing using data-driven reduced-order model T Nagata, K Nakai, K Yamada, Y Saito, T Nonomura, M Kano, S Ito, ... Geophysical Journal International 233 (1), 33-50, 2023 | 14 | 2023 |
| Nondominated-solution-based multi-objective greedy sensor selection for optimal design of experiments K Nakai, Y Sasaki, T Nagata, K Yamada, Y Saito, T Nonomura IEEE Transactions on Signal Processing 70, 5694-5707, 2022 | 14 | 2022 |
| Randomized group-greedy method for data-driven sensor selection T Nagata, K Yamada, K Nakai, Y Saito, T Nonomura arXiv preprint arXiv:2205.04161, 2022 | 10 | 2022 |
| Observation site selection for physical model parameter estimation towards process-driven seismic wavefield reconstruction K Nakai, T Nagata, K Yamada, Y Saito, T Nonomura, M Kano, S Ito, ... Geophysical Journal International 234 (3), 1786-1805, 2023 | 6 | 2023 |
| Randomized group-greedy method for large-scale sensor selection problems T Nagata, K Yamada, K Nakai, Y Saito, T Nonomura IEEE Sensors Journal, 2023 | 6 | 2023 |
| Sensor selection by greedy method for linear dynamical systems: comparative study on Fisher-information-matrix, observability-Gramian and Kalman-filter-based indices S Takahashi, Y Sasaki, T Nagata, K Yamada, K Nakai, Y Saito, ... IEEE Access, 2023 | 4 | 2023 |
| Efficient sensor node selection for observability Gramian optimization K Yamada, Y Sasaki, T Nagata, K Nakai, D Tsubakino, T Nonomura Sensors 23 (13), 5961, 2023 | 4 | 2023 |
| Sensor Selection with Cost Function using Nondominated-Solution-based Multi-objective Greedy Method Y Saito, K Nakai, T Nagata, K Yamada, T Nonomura, K Sakaki, Y Nunome IEEE Sensors Journal, 2023 | 2 | 2023 |
| Determinant factors of performance in token test for japanese aphasics K Yamada International Journal of Psychology 27 (3-4), 393-393, 1992 | 1 | 1992 |
| Improved estimation of yaw angle and surface pressure distribution of Ahmed model with optimized sparse sensors by Bayesian framework based on pressure-sensitive paint data R Inoba, K Uchida, Y Iwasaki, K Yamada, A Jebli, T Nagata, Y Ozawa, ... Experimental Thermal and Fluid Science, 111210, 2024 | | 2024 |
| Actuator selection based on singular vector method in linearized Ginzburg-Landau model M Watanabe, Y Sasaki, K Yamada, T Nagata, T Nonomura Bulletin of the American Physical Society, 2023 | | 2023 |
