A lightweight deep learning-based method for health diagnosis of internal combustion engines on an internet of vehicles platform.

MLA

Dou, Quanli, et al. “A Lightweight Deep Learning-Based Method for Health Diagnosis of Internal Combustion Engines on an Internet of Vehicles Platform.” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering (Sage Publications, Ltd.), vol. 238, no. 14, Dec. 2024, pp. 4443–57. EBSCOhost, https://doi.org/10.1177/09544070231198905.

APA

Dou, Q., Luo, H., Zhang, Z., Song, Y., Chu, S., & Mao, Z. (2024). A lightweight deep learning-based method for health diagnosis of internal combustion engines on an internet of vehicles platform. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering (Sage Publications, Ltd.), 238(14), 4443–4457. https://doi.org/10.1177/09544070231198905

Chicago

Dou, Quanli, Hanbin Luo, Zhenjing Zhang, Yedong Song, Shilong Chu, and Zhiwei Mao. 2024. “A Lightweight Deep Learning-Based Method for Health Diagnosis of Internal Combustion Engines on an Internet of Vehicles Platform.” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering (Sage Publications, Ltd.) 238 (14): 4443–57. doi:10.1177/09544070231198905.