APA (7th ed.) Citation

R, M., S, A., F, W., & O, K. (2022). Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins. Sensors (Basel, Switzerland), 22(4), . https://doi.org/10.3390/s22041312

Chicago Style (17th ed.) Citation

R, Munjal, Arif S, Wendler F, and Kanoun O. "Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins." Sensors (Basel, Switzerland) 22, no. 4 (2022). https://doi.org/10.3390/s22041312.

MLA (9th ed.) Citation

R, Munjal, et al. "Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins." Sensors (Basel, Switzerland), vol. 22, no. 4, 2022, https://doi.org/10.3390/s22041312.