Tymoshchuk, D.; Yasniy, O.; Didych, I.; Maruschak, P.; Lutsyk, N.
Recurrent Neural Networks with Integrated Gradients Explanation for Predicting the Hysteresis Behavior of Shape Memory Alloys. Sensors 2026, 26, 110.
https://doi.org/10.3390/s26010110
AMA Style
Tymoshchuk D, Yasniy O, Didych I, Maruschak P, Lutsyk N.
Recurrent Neural Networks with Integrated Gradients Explanation for Predicting the Hysteresis Behavior of Shape Memory Alloys. Sensors. 2026; 26(1):110.
https://doi.org/10.3390/s26010110
Chicago/Turabian Style
Tymoshchuk, Dmytro, Oleh Yasniy, Iryna Didych, Pavlo Maruschak, and Nadiia Lutsyk.
2026. "Recurrent Neural Networks with Integrated Gradients Explanation for Predicting the Hysteresis Behavior of Shape Memory Alloys" Sensors 26, no. 1: 110.
https://doi.org/10.3390/s26010110
APA Style
Tymoshchuk, D., Yasniy, O., Didych, I., Maruschak, P., & Lutsyk, N.
(2026). Recurrent Neural Networks with Integrated Gradients Explanation for Predicting the Hysteresis Behavior of Shape Memory Alloys. Sensors, 26(1), 110.
https://doi.org/10.3390/s26010110