A deep-learning image registration method for pressure-sensitive paint measurements
2024 · Measurement Science and Technology · 7 citations
https://doi.org/10.1088/1361-6501/ad41fd
D
Di Peng
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Di Peng is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Fluid Dynamics and Turbulent Flows & Analytical Chemistry and Sensors & Heat Transfer Mechanisms. The author has an h-index of 28, co-authored 190 publications.
ORCID: 0000-0002-8116-5215Papers by this author
worksThree-dimensional surface temperature measurement using lifetime-based phosphor thermometry
2024 · Measurement Science and Technology · 3 citations
https://doi.org/10.1088/1361-6501/ad6346
Trajectory optimization of spacecraft autonomous far-distance rapid rendezvous based on deep reinforcement learning
2024 · Advances in Space Research · 3 citations
https://doi.org/10.1016/j.asr.2024.09.066
Dual-luminophore fast-responding pressure-sensitive paint for the simultaneous elimination of motion- and temperature-induced errors
2024 · Measurement Science and Technology · 2 citations
https://doi.org/10.1088/1361-6501/ad53f0
A novel neural network architecture dedicated for LIBS spectrum analysis with its application to steel pipe classification
2024 · Measurement Science and Technology · 1 citations
https://doi.org/10.1088/1361-6501/ad9166
Minimizing the angle of incidence errors in intensity ratio phosphor thermometry
2025 · Measurement Science and Technology · 1 citations
https://doi.org/10.1088/1361-6501/ade6a2
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