Suchergebnisse - stack sparse autoencoder deep learning model (SSAE)
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Microscopic segmentation and classification of COVID‐19 infection with ensemble convolutional neural network
ISSN: 1059-910X, 1097-0029, 1097-0029Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.01.2022Veröffentlicht in Microscopy research and technique (01.01.2022)“… In Phase III, segmented images are passed to the stack sparse autoencoder (SSAE …”
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Revolutionizing Software Defect Prediction Through Deep Learning
Veröffentlicht: IEEE 08.08.2024Veröffentlicht in 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT) (08.08.2024)“… ) techniques, specifically focusing on Convolutional Neural Networks (CNN) and Stack Sparse Autoencoders (SSAE …”
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Deep Neural Network Based on A Stacked Autoencoder For 3D-Finger Knuckle Recognition
Veröffentlicht: IEEE 20.03.2023Veröffentlicht in 2023 International Conference on Information Technology, Applied Mathematics and Statistics (ICITAMS) (20.03.2023)“… This paper offers an effective deep learning technique, stacked sparse autoencoders (SSAEs), to identify the individual through a 3d finger knuckle …”
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Design of peer-to-peer energy trading in transactive energy management for charge estimation of lithium-ion battery on hybrid electric vehicles
ISSN: 0378-7796, 1873-2046Veröffentlicht: Amsterdam Elsevier B.V 01.06.2022Veröffentlicht in Electric power systems research (01.06.2022)“… •To develop optimal machine learning based SOC estimation (OML-SOCE) model for HEVs in TEM.•SSAE are optimally adjusted by the use of SSA in such a way that the prediction performance can be considerably improved …”
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