[2] B S YILBAS, M K ANWAR. Design of a mobile thermal battery and analysis of thermal characteristics. Journal of Renewable and Sustainable Energy, 8, 024102(2016).
[4] L ANA, B RICARDO, P INÊS, et al. Non-destructive testing application of radiography and ultrasound for wire and arc additive manufacturing. Additive Manufacturing, 298-306(201821).
[5] S K DWIVEDI, M VISHWAKARMA, P A SONI. Advances and researches on non destructive testing: a review. Materials Today:Proceedings, 5, 3690-3698(2018).
[7] W STERKENS, D DIAZ-ROMERO, T GOEDEMÉ, et al. Detection and recognition of batteries on X-ray images of waste electrical and electronic equipment using deep learning. Resources, Conservation and Recycling, 168, 105246(2020).
[8] C RAHE, S T KELLY, M N RAD, et al. Nanoscale X-ray imaging of ageing in automotive lithiumion battery cells. Journal of power sources, 433, 126631.1-126631.9(2019).
[13] LU Yang. Research on license plate recognition algithm based on BP neural wk[D]. Heilongjiang: Ntheast Petroleum University, 2018.
[14] S TANG, F YU. Construction and verification of retinal vessel segmentation algorithm for color fundus image under BP neural network model. The Journal of Supercomputing, 77, 1-14(2021).