Bellomo, M.; Giazitzis, S.; Badha, S.; Rosetti, F.; Dolara, A.; Ogliari, E.
Deep Learning Regression with Sequences of Different Length: An Application for State of Health Trajectory Prediction and Remaining Useful Life Estimation in Lithium-Ion Batteries. Batteries 2024, 10, 292.
https://doi.org/10.3390/batteries10080292
AMA Style
Bellomo M, Giazitzis S, Badha S, Rosetti F, Dolara A, Ogliari E.
Deep Learning Regression with Sequences of Different Length: An Application for State of Health Trajectory Prediction and Remaining Useful Life Estimation in Lithium-Ion Batteries. Batteries. 2024; 10(8):292.
https://doi.org/10.3390/batteries10080292
Chicago/Turabian Style
Bellomo, Michele, Spyridon Giazitzis, Susheel Badha, Filippo Rosetti, Alberto Dolara, and Emanuele Ogliari.
2024. "Deep Learning Regression with Sequences of Different Length: An Application for State of Health Trajectory Prediction and Remaining Useful Life Estimation in Lithium-Ion Batteries" Batteries 10, no. 8: 292.
https://doi.org/10.3390/batteries10080292
APA Style
Bellomo, M., Giazitzis, S., Badha, S., Rosetti, F., Dolara, A., & Ogliari, E.
(2024). Deep Learning Regression with Sequences of Different Length: An Application for State of Health Trajectory Prediction and Remaining Useful Life Estimation in Lithium-Ion Batteries. Batteries, 10(8), 292.
https://doi.org/10.3390/batteries10080292
