Výsledky vyhledávání - "Autoencoder application"

Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages Autor Hu, Dan, Zhang, Han, Wu, Zhengwang, Wang, Fan, Wang, Li, Smith, J. Keith, Lin, Weili, Li, Gang, Shen, Dinggang

“…Effective fusion of structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI) data has the potential to boost the accuracy…”
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Slow feature‐constrained decomposition autoencoder: Application to process anomaly detection and localization Autor Jia, Mingwei, Jiang, Lingwei, Hu, Junhao, Liu, Yi, Chen, Tao

“…Summary Detecting anomalies in manufacturing processes is crucial for ensuring safety. However, noise significantly undermines the reliability of data‐driven…”
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Autoencoder Application for Artwork Authentication Fingerprinting Using the Craquelure Network Autor Chirosca, Gianina, Radvan, Roxana, Pop, Matei, Chirosca, Alecsandru

“…This paper presents a deep learning-based system designed for generating, storing, and retrieving embeddings, specifically tailored for analyzing craquelure…”
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A Pansharpening Based on the Non-Subsampled Contourlet Transform and Convolutional Autoencoder: Application to QuickBird Imagery Autor Smadi, Ahmad Al, Yang, Shuyuan, Abugabah, Ahed, Alzubi, Ahmad Ali, Sanzogni, Louis

“…This paper presents a pansharpening technique based on the non-subsampled contourlet transform (NSCT) and convolutional autoencoder (CAE). NSCT is…”
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Autoencoder Application for Anomaly Detection in Power Consumption of Lighting Systems Autor Smialkowski, Tomasz, Czyzewski, Andrzej

“…Detecting energy consumption anomalies is a popular topic of industrial research, but there is a noticeable lack of research reported in the literature on…”
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A comprehensive survey on design and application of autoencoder in deep learning Autor Li, Pengzhi, Pei, Yan, Li, Jianqiang

“…Autoencoder is an unsupervised learning model, which can automatically learn data features from a large number of samples and can act as a dimensionality…”
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Sparse Denoising Autoencoder Application in Identification of Counterfeit Pharmaceutical Autor Yang, Hui-hua, Luo, Zhi-chao, Jiang, Shu-jie, Zhang, Xue-bo, Yin, Li-hui

“…Near-infrared(NIR)As a fast and non-destructive testing technology, spectroscopy techniques is very suitable for pharmaceutical discrimination. Autoencoder…”
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Autoencoders and their applications in machine learning: a survey Autor Berahmand, Kamal, Daneshfar, Fatemeh, Salehi, Elaheh Sadat, Li, Yuefeng, Xu, Yue

“…Autoencoders have become a hot researched topic in unsupervised learning due to their ability to learn data features and act as a dimensionality reduction…”
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A Stacked Autoencoder Application for Residential Load Curve Forecast and Peak Shaving Autor Wang, Xinan, Wang, Yishen, Shi, Di, Wang, Jianhui

“…For the last ten years, utilities have observed ongoing transitions on consumers' load curves. The previously flat load curves have more frequently turned into…”
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CNN Based Autoencoder Application in Breast Cancer Image Retrieval Autor Minarno, Agus Eko, Ghufron, Kharisma Muzaki, Sabrila, Trifebi Shina, Husniah, Lailatul, Sumadi, Fauzi Dwi Setiawan

“…Content Based Medical Image Retrieval (CBMIR) is considered as a common technique to retrieve relevant images by comparing the features contained in the query…”
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Moving forward in water distribution network leak identification through an innovative features engineering step Autor Damonti, Elvio, Bernasconi, Giancarlo

“…In Italy an average of 40% of the water in transit in Water Distribution Networks (WDNs) is lost, which represents a significant economic loss, and, because of…”
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Convolutional Autoencoder Application for Breast Cancer Classification Autor Naderan, Maryam, Zaychenko, Yuri

“…There are many related works for breast cancer detection using convolutional neural networks (CNN), and most of them rely only on feature extraction after the…”
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Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation Autor An, Seunghwan, Jong-June Jeon

“…The Gaussianity assumption has been consistently criticized as a main limitation of the Variational Autoencoder (VAE) despite its efficiency in computational…”
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Application of stack marginalised sparse denoising auto-encoder in fault diagnosis of rolling bearing Autor Zhang, Junling, Chen, Zhigang, Du, Xiaolei, Xu, Xu, Yu, Miao

“…When a fracturing vehicle is working, it generally needs to bear high loads, media corrosion and erosion. For this special working environment, this study…”
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A Stacked Autoencoder Application for Residential Load Curve Forecast and Peak Shaving Autor Wang, Xinan, Wang, Yishen, Shi, Di, Wang, Jianhui

“…For the last ten years, utilities have observed on-going transitions on consumers' load curves. The previously flat load curves have more frequently turned…”
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Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems Autor Chakraborty, Indrasis, Chakraborty, Rudrasis, Vrabie, Draguna

“…Fault detection problem for closed loop uncertain dynamical systems, is investigated in this paper, using different deep learning based methods. Traditional…”
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A new investment method with AutoEncoder: Applications to crypto currencies Autor Nakano, Masafumi, Takahashi, Akihiko

“…•We propose a new investment strategy free from the estimation of expected returns.•AutoEncoder extracts the factors which enable to prevent the large…”
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Dual-Masked Autoencoders: Application to Multi-labeled Pediatric Thoracic Diseases Autor Yoon, Taeyoung, Kang, Daesung

“…Pediatric thoracic diseases present significant health risks to children. While chest X-rays are commonly used for diagnosing thoracic diseases, interpreting…”
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Anomaly detection for structural formation analysis by autoencoders: application to soft matters Autor Terao, Takamichi

“…Machine-learning-based computational methods for structural analysis have been proposed to study colloidal systems. However, most of these methods are based on…”
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Optimizing Large Scale Problems With Metaheuristics in a Reduced Space Mapped by Autoencoders-Application to the Wind-Hydro Coordination Autor Miranda, Vladimiro, da Hora Martins, Joana, Palma, Vera

“…This paper explores a technique denoted LASCA to solve large scale optimization problems with metaheuristics by reducing the search space dimension with…”
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