資源タイプ: journal_article キーワード: temperature series principal component analysis
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Deep learning framework for analyzing birefringence imaging by incorporating optical polarization overlap in stress-induced ferroelectric SrTiO.pdf
Deep learning framework for analyzing birefringence imaging by incorporating optical polarization overlap in stress-induced ferroelectric SrTiO
論文
著者
Hirotaka Manaka ; Shoutarou Katayama ; Soichiro Honda ; Yoko Miura
キーワード
LSTM, temperature series principal component analysis, 3D convolutional autoencoder, temperature series forest, stress-induced ferroelectricity, SrTiO3
刊行年月日
2025-12-31
更新時刻
2025-10-21 16:05:44 +0900