| Computerized ultrasonic imaging inspection: From shallow to deep learning J Ye, S Ito, N Toyama Sensors 18 (11), 3820, 2018 | 118 | 2018 |
| Urban sound event classification based on local and global features aggregation J Ye, T Kobayashi, M Murakawa Applied Acoustics 117, 246-256, 2017 | 82 | 2017 |
| Acoustic feature extraction by statistics based local binary pattern for environmental sound classification T Kobayashi, J Ye 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 54 | 2014 |
| Acoustic scene classification based on sound textures and events J Ye, T Kobayashi, M Murakawa, T Higuchi Proceedings of the 23rd ACM international conference on Multimedia, 1291-1294, 2015 | 41 | 2015 |
| Benchmarking deep learning models for automatic ultrasonic imaging inspection J Ye, N Toyama IEEE Access 9, 36986-36994, 2021 | 39 | 2021 |
| Audio-based sports highlight detection by fourier local auto-correlations. J Ye, T Kobayashi, T Higuchi INTERSPEECH, 2198-2201, 2010 | 33 | 2010 |
| Statistical impact-echo analysis based on grassmann manifold learning: Its preliminary results for concrete condition assessment J Ye, M Iwata, K Takumi, M Murakawa, H Tetsuya, Y Kubota, T Yui, K Mori EWSHM-7th European workshop on structural health monitoring, 2014 | 32 | 2014 |
| Non-contact ultrasonic inspection of impact damage in composite laminates by visualization of Lamb wave propagation N Toyama, J Ye, W Kokuyama, S Yashiro Applied Sciences 9 (1), 46, 2018 | 23 | 2018 |
| Automatic defect detection for ultrasonic wave propagation imaging method using spatio-temporal convolution neural networks J Ye, N Toyama Structural Health Monitoring 21 (6), 2750-2767, 2022 | 22 | 2022 |
| Acoustic scene classification using efficient summary statistics and multiple spectro-temporal descriptor fusion J Ye, T Kobayashi, N Toyama, H Tsuda, M Murakawa Applied Sciences 8 (8), 1363, 2018 | 20 | 2018 |
| Robust acoustic feature extraction for sound classification based on noise reduction J Ye, T Kobayashi, M Murakawa, T Higuchi 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 20 | 2014 |
| Kernel discriminant analysis for environmental sound recognition based on acoustic subspace J Ye, T Kobayashi, M Murakawa, T Higuchi 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 19 | 2013 |
| Drone-based displacement measurement of infrastructures utilizing phase information S Ri, J Ye, N Toyama, N Ogura Nature Communications 15 (1), 395, 2024 | 17 | 2024 |
| Computerized hammer sounding interpretation for concrete assessment with online machine learning J Ye, T Kobayashi, M Iwata, H Tsuda, M Murakawa Sensors 18 (3), 833, 2018 | 17 | 2018 |
| Audio data mining for anthropogenic disaster identification: An automatic taxonomy approach J Ye, T Kobayashi, X Wang, H Tsuda, M Murakawa IEEE Transactions on Emerging Topics in Computing 8 (1), 126-136, 2017 | 13 | 2017 |
| An efficient in-situ debris flow monitoring system over a wireless accelerometer network J Ye, Y Kurashima, T Kobayashi, H Tsuda, T Takahara, W Sakurai Remote Sensing 11 (13), 1512, 2019 | 10 | 2019 |
| Potential for improving the local realization of coordinated universal time with a convolutional neural network T Tanabe, J Ye, T Suzuyama, T Kobayashi, Y Yamaguchi, M Yasuda Review of Scientific Instruments 90 (12), 2019 | 8 | 2019 |
| Noise robust hammering echo analysis for concrete structure assessment under mismatch conditions: A sparse coding approach J Ye, T Kobayashi, M Iwata, M Murakawa 2017 IEEE Sensors Applications Symposium (SAS), 1-6, 2017 | 8 | 2017 |
| Audio-based indoor health monitoring system using flac features J Ye, T Kobayashi, T Higuchi 2010 International Conference on Emerging Security Technologies, 90-95, 2010 | 8 | 2010 |
| Point defect detection and strain mapping in Si single crystal by two-dimensional multiplication moire method Q Wang, S Ri, P Xia, J Ye, N Toyama Nanoscale 13 (40), 16900-16908, 2021 | 7 | 2021 |
takumi kobayashiNational Institute of Advanced Industrial Science and TechnologyDirección de correo verificada de aist.go.jp
