Predictive modeling and optimization of pin electrode based cold plasma using machine learning approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s41939-023-00321-2.pdf
Reference34 articles.
1. Abramzon N, Joaquin JC, Bray J, Brelles-Mariño G (2006) Biofilm destruction by RF high-pressure cold plasma jet. IEEE Trans Plasma Sci 34:1304. https://doi.org/10.1109/tps.2006.877515
2. Bhat SK, Deepak GD (2023) Predictive modelling and optimization of double ring electrode based cold plasma using artificial neural network. Int J Eng. https://www.ije.ir/article_177894.html[in press]
3. Chang J, Niu P-H, Chen C-W, Cheng Y-C (2023) Using deep convolutional neural networks to classify the discharge current of a cold atmospheric-pressure plasma jet. IEEE Trans Plasma Sci 51(311):2023. https://doi.org/10.1109/TPS.2022.3185029
4. Deepak GD (2022a) Biomedical applications of cold plasma. J Clin Diagn Res 16:01. https://doi.org/10.7860/JCDR/2022/53693.16177
5. Deepak GD (2022b) Review on recent advances in cold plasma technology. Eur Phys J Appl Phys 97:39. https://doi.org/10.1051/epjap/2022210275
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