Order Article Reprints

Munjal R, Arif S, Wendler F, 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. 2022; 22(4):1312. https://doi.org/10.3390/s22041312

Munjal, Rohan, Sohaib Arif, Frank Wendler, and Olfa Kanoun. 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 22, no. 4: 1312. https://doi.org/10.3390/s22041312

Munjal, R., Arif, S., Wendler, F., & Kanoun, O. (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, 22(4), 1312. https://doi.org/10.3390/s22041312