Výsledky vyhledávání - "Reduced deep convolutional stack autoencoder"

Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals Autor Sahani, Mrutyunjaya, Rout, Susanta Kumar, Dash, Pradipta Kishor

“…In this paper, reduced deep convolutional stack autoencoder (RDCSAE) and improved kernel random vector functional link network (IKRVFLN…”
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Precise single step and multistep short-term photovoltaic parameters forecasting based on reduced deep convolutional stack autoencoder and minimum variance multikernel random vector functional network Autor Sahani, Mrutyunjaya, Choudhury, Sasmita, Siddique, Marif Daula, Parida, Tanmoy, Dash, Pradipta Kishore, Panda, Sanjib Kumar

“… To address this, we have developed a novel hybrid model: a reduced deep convolutional stack autoencoder with a minimum variance multikernel random vector functional link network (RDCSAE-MVMRVFLN…”
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RDCSAE-RKRVFLN: A unified deep learning framework for robust and accurate DOA estimation Autor Raiguru, Priyadarshini, Swain, Bhanja Kishor, Rout, Susanta Kumar, Sahani, Mrutyunjaya, Mishra, Rabindra Kishore

“…This paper introduces an innovative unified deep learning (DL) model, “reduced deep convolutional stack autoencoder (RDCSAE…”
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