Search Results - "autoencoder convolutional neural network"
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BEARING FAULT DETECTION BY USING AUTOENCODER CONVOLUTIONAL NEURAL NETWORK
ISSN: 1607-3274, 2313-688XPublished: 29.06.2025Published in Radìoelektronika, informatika, upravlìnnâ (29.06.2025)“… The object of study is the process of non-destructive diagnosis of bearings. The subject of study is methods of selecting hyperparameters and other optimization…”
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Journal Article -
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Multimodal NASH prognosis using 3D imaging flow cytometry and artificial intelligence to characterize liver cells
ISSN: 2045-2322, 2045-2322Published: London Nature Publishing Group UK 01.07.2022Published in Scientific reports (01.07.2022)“… regression with disease progression. By developing a customized autoencoder convolutional neural network (CNN…”
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Solar Irradiation Prediction Hybrid Framework Using Regularized Convolutional BiLSTM-Based Autoencoder Approach
ISSN: 2169-3536, 2169-3536Published: Piscataway IEEE 2023Published in IEEE access (2023)“…) autoencoder, convolutional neural network (CNN), and the Bi-directional Long Short Term Memory (BiLSTM…”
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Autoencoder-Based Neural Network Model for Anomaly Detection in Wireless Body Area Networks
ISSN: 2624-831X, 2624-831XPublished: Montreal MDPI AG 01.12.2024Published in IoT (01.12.2024)“…) at hospitals or elderly care facilities. However, the collected data are subject to anomalies caused by faulty sensor readings, malicious attacks, or severe health degradation situations that healthcare professionals should investigate further…”
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Using Autoencoders to Denoise Cross-Session Non-Stationarity in EEG-Based Motor-Imagery Brain-Computer Interfaces
Published: IEEE 23.11.2022Published in 2022 IEEE 16th International Scientific Conference on Informatics (Informatics) (23.11.2022)“… Here, we use an autoencoder convolutional neural network to identify a low dimensional representation of the EEG signals from the first day (or days…”
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Conference Proceeding -
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Transfer Learning Approaches in Classification of Mental Disorders Using Neuroimaging
ISBN: 9798380257688Published: ProQuest Dissertations & Theses 01.01.2022“…Resting-state functional magnetic resonance imaging (rs-fMRI) data is widely used to characterize brain function in health and disease. Specifically, brain…”
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Dissertation

