Articles with public access mandates - Kumi NakaiLearn more
Available somewhere: 9
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
Mandates: US National Oceanic and Atmospheric Administration
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
Mandates: Japan Science and Technology Agency
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
Mandates: Japan Science and Technology Agency
Randomized Group-Greedy Method for Large-Scale Sensor Selection Problems
T Nagata, K Yamada, K Nakai, Y Saito, T Nonomura
IEEE Sensors Journal, 2023
Mandates: Japan Science and Technology Agency
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
Mandates: Japan Science and Technology Agency
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
Mandates: Japan Science and Technology Agency
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
Mandates: Japan Science and Technology Agency
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
Mandates: Japan Science and Technology Agency
Reservoir computing reduced-order model based on particle image velocimetry data of post-stall flow
Y Iwasaki, T Nagata, Y Sasaki, K Nakai, M Inubushi, T Nonomura
AIP Advances 13 (6), 2023
Mandates: Japan Science and Technology Agency
Publication and funding information is determined automatically by a computer program