Pushe Zhao

Accuracy improvement of 3D-profiling for HAR features using deep learning

Pushe Zhao, Wei Sun, Taku Ninomiya, 2020, Advanced Lithography.

A Directional-Edge-Based Real-Time Object Tracking System Employing Multiple Candidate-Location Generation

Hongbo Zhu, Pushe Zhao, Tadashi Shibata, 2013, IEEE Transactions on Circuits and Systems for Video Technology.

Advanced correlation-based anomaly detection method for predictive maintenance

Pushe Zhao, Junichi Tanaka, Tadashi Suzuki, 2017, 2017 IEEE International Conference on Prognostics and Health Management (ICPHM).

Equipment Sub-system Extraction and its Application in Predictive Maintenance

Pushe Zhao, Tadashi Suzuki, Masaru Kurihara, 2018, 2018 IEEE International Conference on Prognostics and Health Management (ICPHM).

A multiple-candidate-regeneration-based object tracking system with enhanced learning capability by nearest neighbor classifier

Hongbo Zhu, Pushe Zhao, Tadashi Shibata, 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

Generating Mathematical Model of Equipment and Its Applications in PHM

Pushe Zhao, Masaru Kurihara, Tojiro Noda, 2019, 2019 IEEE International Conference on Prognostics and Health Management (ICPHM).

Real-Time Object Tracking Algorithm Employing On-Line Support Vector Machine and Multiple Candidate Regeneration

Pushe Zhao, Tadashi Shibata, Renyuan Zhang, 2012, ICAISC.