Cite
Prognostics and RUL Estimations of SAC305, SAC105 and SnAg Solders Under Temperature and Vibration Using Long Short-Term Memory (LSTM) Deep Learning
MLA
Pradeep Lall, et al. “Prognostics and RUL Estimations of SAC305, SAC105 and SnAg Solders Under Temperature and Vibration Using Long Short-Term Memory (LSTM) Deep Learning.” ASME 2021 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems, Oct. 2021. EBSCOhost, https://doi.org/10.1115/ipack2021-74066.
APA
Pradeep Lall, Ken Blecker, & Tony Thomas. (2021). Prognostics and RUL Estimations of SAC305, SAC105 and SnAg Solders Under Temperature and Vibration Using Long Short-Term Memory (LSTM) Deep Learning. ASME 2021 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems. https://doi.org/10.1115/ipack2021-74066
Chicago
Pradeep Lall, Ken Blecker, and Tony Thomas. 2021. “Prognostics and RUL Estimations of SAC305, SAC105 and SnAg Solders Under Temperature and Vibration Using Long Short-Term Memory (LSTM) Deep Learning.” ASME 2021 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems, October. doi:10.1115/ipack2021-74066.