| 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 | 61 | 2021 |
| 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 |
| Physical mechanism of tri-electrode plasma actuator with direct-current high voltage H Nishida, K Nakai, T Matsuno AIAA journal 55 (6), 1852-1861, 2017 | 30 | 2017 |
| 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 | 24 | 2021 |
| 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 |
| 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 and Sciences 129 (1), 1-30, 2021 | 19 | 2021 |
| 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 |
| 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 |
| Validity of three-fluid plasma modeling for alternating-current dielectric-barrier-discharge plasma actuator K Nakai, A Nakano, H Nishida AIAA journal 59 (4), 1313-1327, 2021 | 16 | 2021 |
| 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 | 15 | 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, ... arXiv preprint arXiv:2206.09231, 2022 | 14 | 2022 |
| Data-driven sparse sampling for reconstruction of acoustic-wave characteristics used in aeroacoustic beamforming S Kaneko, Y Ozawa, K Nakai, Y Saito, T Nonomura, K Asai, H Ura Applied Sciences 11 (9), 4216, 2021 | 14 | 2021 |
| Effect of chemical reactions on electrohydrodynamic force generation process in dielectric barrier discharge K Nakai, A Komuro, H Nishida Physics of Plasmas 27 (6), 063518, 2020 | 14 | 2020 |
| 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 |
| Single-pixel correlation applied to background-oriented schlieren measurement H Sugisaki, C Lee, Y Ozawa, K Nakai, Y Saito, T Nonomura, K Asai, ... Experiments in Fluids 63 (1), 36, 2022 | 9 | 2022 |
| Randomized Group-Greedy Method for Large-Scale Sensor Selection Problems T Nagata, K Yamada, K Nakai, Y Saito, T Nonomura IEEE Sensors Journal, 2023 | 7 | 2023 |
| 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 |
| Experimental Study on the Working Characteristics of Tri-Electrode Plasma Actuator Utilizing a Combination of Corona and Barrier Discharges A Hatamoto, K Nakai, H Nishida Actuators 11 (11), 322, 2022 | 4 | 2022 |
| Evaluation of Optimization Algorithms and Noise Robustness of Sparsity-Promoting Dynamic Mode Decomposition Y Iwasaki, T Nonomura, K Nakai, T Nagata, Y Saito, K Asai IEEE Access 10, 80748-80763, 2022 | 4 | 2022 |
