Prognostic and RUL Estimations of SAC105, SAC305,and SnPb Solders under Different Drop and Shock Loads using Long Short-Term Memory (LSTM) Deep Learning Technique

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Prognostic and RUL Estimations of SAC105, SAC305,and SnPb Solders under Different Drop and Shock Loads using Long Short-Term Memory (LSTM) Deep Learning Technique
Συγγραφείς: Lall, Pradeep, Thomas, Tony, Blecker, Ken
Πηγή: 2021 20th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm) Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm), 2021 20th IEEE Intersociety Conference on. :644-658 Jun, 2021
Relation: 2021 20th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm)
Βάση Δεδομένων: IEEE Xplore Digital Library