Search Results - "Convolutional Autoencoder Model"
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Deep convolutional autoencoder for urban land use classification using mobile device data
ISSN: 1365-8816, 1362-3087, 1365-8824Published: Abingdon Taylor & Francis 02.11.2022Published in International journal of geographical information science : IJGIS (02.11.2022)“…Mobile phone data can provide insightful location-based information on the interactions between individuals and the urban environment, e.g. urban land-use…”
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Se-GCaTCT: correlation based optimized self-guided cross-attention temporal convolutional transformer for depression detection with effective optimization strategy
ISSN: 1746-8094Published: Elsevier Ltd 01.02.2026Published in Biomedical signal processing and control (01.02.2026)“…Depression is a prevalent mental health issue that is more common than other mental health issues globally. Determining the cause of depression typically…”
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Comparative Study on Three Autoencoder‐Based Deep Learning Algorithms for Geochemical Anomaly Identification
ISSN: 2333-5084, 2333-5084Published: Hoboken John Wiley & Sons, Inc 01.11.2022Published in Earth and space science (Hoboken, N.J.) (01.11.2022)“…Deep autoencoder (AE) networks show a powerful ability for geochemical anomaly identification. Because of little contribution to the AE network, small…”
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DeepCov19Net: Automated COVID-19 Disease Detection with a Robust and Effective Technique Deep Learning Approach
ISSN: 0288-3635, 1882-7055Published: Tokyo Ohmsha 01.12.2022Published in New generation computing (01.12.2022)“…The new type of coronavirus disease, which has spread from Wuhan, China since the beginning of 2020 called COVID-19, has caused many deaths and cases in most…”
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DWSCNN Online Signature Verification Algorithm Based on CAE-MV Feature Dimensionality Reduction
ISSN: 2169-3536, 2169-3536Published: Piscataway IEEE 2024Published in IEEE access (2024)“…In recent years, with the rapid advancements in deep learning technologies, particularly deep neural networks, signature verification has seen significant…”
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14 - Deep autoencoder-based automated brain tumor detection from MRI data
ISBN: 0323914128, 0323911978, 9780323914123, 9780323911979Published: Elsevier Inc 2022Published in Artificial Intelligence-Based Brain-Computer Interface (2022)“…Brain tumor detection from magnetic resonance (MR) image samples is the core way for radiologists, specialists, and physicians. Artificial intelligence-based…”
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