Automated Diesel Spray Classification Using Convolution Neural Networks
Keywords:
CNN, proposed model, Diesel spray diagnosticsAbstract
The characterization of diesel sprays serves as an essential operation for maximizing engine performance and minimizing exhaust emissions together with enhancing fuel injection system capability. The evaluation of spray characteristics depends on manual or batch
operational image processing systems that prove time-consuming and susceptible to human mistakes. This work demonstrates a CNN-based automatic system for classifying diesel spray images.
References
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