Výsledky vyhledávání - "Stacked variational autoencoder"
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SVDTI: Stacked variational autoencoder with SMILES-based drug representations for identifying drug-target interaction
ISSN: 0925-2312Vydáno: Elsevier B.V 14.01.2026Vydáno v Neurocomputing (Amsterdam) (14.01.2026)“… approaches to predict potential DTIs efficiently. In this paper, we introduce a novel method, which employs a stacked variational autoencoder (SVAE…”
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Text feature extraction based on stacked variational autoencoder
ISSN: 0141-9331, 1872-9436Vydáno: Kidlington Elsevier B.V 01.07.2020Vydáno v Microprocessors and microsystems (01.07.2020)“…This paper presents a text feature extraction model based on stacked variational autoencoder (SVAE…”
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Semi-supervised Deep Learning in Motor Imagery-Based Brain-Computer Interfaces with Stacked Variational Autoencoder
ISSN: 1742-6588, 1742-6596Vydáno: Bristol IOP Publishing 01.09.2020Vydáno v Journal of physics. Conference series (01.09.2020)“… To address this problem, we propose a semi-supervised deep learning method based on the stacked variational autoencoder (SVAE…”
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SVAD: Stacked Variational Autoencoder Deep Neural Network-Based Dimensionality Reduction and Classification of Small Sample Size and High Dimensional Data
ISSN: 2661-8907, 2662-995X, 2661-8907Vydáno: Singapore Springer Nature Singapore 12.10.2024Vydáno v SN computer science (12.10.2024)“…The “curse of dimensionality” is a major concern in the field of computational biology, especially when there are many fewer samples then to the number of…”
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A novel 3D indoor localization method integrating deep spatial feature augmentation and attention-based denoising
ISSN: 2045-2322, 2045-2322Vydáno: London Nature Publishing Group UK 26.09.2025Vydáno v Scientific reports (26.09.2025)“… Specifically, a stacked variational autoencoder…”
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SVAE‐GRU‐based degradation generation and prediction for small samples
ISSN: 0748-8017, 1099-1638Vydáno: Bognor Regis Wiley Subscription Services, Inc 01.11.2023Vydáno v Quality and reliability engineering international (01.11.2023)“… New degradation data are generated by combining the Stacked Variational Autoencoder (SVAE…”
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Stacked Variational Autoencoder in the Classification of Cardiac Arrhythmia using ECG Signals with 2D-ECG Images
Vydáno: IEEE 22.09.2022Vydáno v 2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET) (22.09.2022)“… Prompt diagnosis of arrhythmia can reduce the mortality rate. In this paper, we have investigated the application of a Stacked Variational Autoencoder (SVAE…”
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Soft Sensor Based on Fusion Modeling with the Balanced Spatio-temporal Feature Network
ISSN: 1934-1768Vydáno: Technical Committee on Control Theory, Chinese Association of Automation 28.07.2025Vydáno v Chinese Control Conference (28.07.2025)“… or even submerged.In this paper, a stacked variational autoencoder based on balanced spatio-temporal feature network(BST- SVAE…”
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Digital Twin-Driven Trust Management in Open RAN-Based Spatial Crowdsourcing Drone Services
ISSN: 2473-2400, 2473-2400Vydáno: Piscataway IEEE 01.09.2024Vydáno v IEEE transactions on green communications and networking (01.09.2024)“…We introduce "TMIoDT," a pioneering framework aimed at bolstering communication security in the Internet of Drone Things (IoDT) integrated with Open Radio…”
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SVAE-WGAN-Based Soft Sensor Data Supplement Method for Process Industry
ISSN: 1530-437X, 1558-1748Vydáno: New York IEEE 01.01.2022Vydáno v IEEE sensors journal (01.01.2022)“… Firstly, deep features are extracted with the stacking of the variational autoencoder (SVAE). Secondly, a generation model is constructed with the combination of stacked variational autoencoder…”
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Industrial quality prediction via FVAE-WGAN: A data-driven approach
ISSN: 1004-9541Vydáno: 01.11.2025Vydáno v Chinese journal of chemical engineering (01.11.2025)Získat plný text
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Deep Variation Autoencoder with Topic Information for Text Similarity
Vydáno: IEEE 01.07.2018Vydáno v 2018 3rd International Conference on Computational Intelligence and Applications (ICCIA) (01.07.2018)“… Considering that the similarity of context information reflects the similarity of text pairs in most cases, we integrate the topic information into a stacked variational autoencoder in process…”
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