Cita APA (7a ed.)
Tan, K., Liu, Z., & Jiang, R. (Oct 2025). Intelligent tool-wear prediction for ball nose tungsten carbide cutters in milling of stainless steel HRC52 using a genetic algorithm-enhanced bi-directional long short-term memory network. SN Applied Sciences. https://doi.org/10.1007/s42452-025-07007-z
Cita Chicago Style (17a ed.)
Tan, Kailai, Zhiqiang Liu, y Ruisong Jiang. "Intelligent Tool-wear Prediction for Ball Nose Tungsten Carbide Cutters in Milling of Stainless Steel HRC52 Using a Genetic Algorithm-enhanced Bi-directional Long Short-term Memory Network." SN Applied Sciences Oct 2025. https://doi.org/10.1007/s42452-025-07007-z.
Cita MLA (9a ed.)
Tan, Kailai, et al. "Intelligent Tool-wear Prediction for Ball Nose Tungsten Carbide Cutters in Milling of Stainless Steel HRC52 Using a Genetic Algorithm-enhanced Bi-directional Long Short-term Memory Network." SN Applied Sciences, Oct 2025, https://doi.org/10.1007/s42452-025-07007-z.
Precaución: Estas citas no son 100% exactas.