Výsledky vyhledávání - "LSTM Autoencoder"

Estimation of Fugl–Meyer Assessment Upper-Extremity Sub-Scores Using a Mixup-Augmented LSTM Autoencoder and Wearable Sensor Data Autor Liu, Minghao, Lu, Hsuan-Yu, Tong, Shuk-Fan, Liang, Dezhi, Sun, Haoyuan, Xing, Tian, Shi, Xiangqian, Yu, Hongliu, Tong, Raymond Kai-Yu

“…Stroke is a leading cause of long-term disability worldwide, necessitating efficient motor function assessment to guide personalized rehabilitation. The…”
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Compression of EEG signals with the LSTM-autoencoder via domain adaptation approach Autor Liu, Yongfei, Yang, Fan, Wu, Binbin

“…) framework based on LSTM-autoencoder. Our experiments encompassed the following: (1) A comparison between LSTM-autoencoder, GRU-autoencoder…”
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Detecting Web Attacks From HTTP Weblogs Using Variational LSTM Autoencoder Deviation Network Autor Jagat, Rikhi Ram, Sisodia, Dilip Singh, Singh, Pradeep

“… Hence, this study proposes an anomaly detection-based Variational LSTM Autoencoder Deviation Network (VLADEN…”
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An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data Autor Homayouni, Hajar, Ghosh, Sudipto, Ray, Indrakshi, Gondalia, Shlok, Duggan, Jerry, Kahn, Michael G.

“…) generate explanations of these violations in a form comprehensible to domain experts. We propose IDEAL, which is an LSTM-Autoencoder based approach that detects…”
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Anomaly Detection in COVID-19 Time-Series Data Autor Homayouni, Hajar, Ray, Indrakshi, Ghosh, Sudipto, Gondalia, Shlok, Kahn, Michael G.

“…Anomaly detection and explanation in big volumes of real-world medical data, such as those pertaining to COVID-19, pose some challenges. First, we are dealing…”
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DeepSEAS: Smartphone-based Early Ailment Sensing Using Coupled LSTM AutoEncoders Autor Murthy, Shreesha Narasimha, Asani, Florina, Srikanthan, Srinarayan, Agu, Emmanuel

“… coughing and sneezing) a day early while they are still asymptomatic. DeepSEAS works by analyzing a subject's…”
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Robust LSTM-Autoencoders for Face De-Occlusion in the Wild Autor Zhao, Fang, Feng, Jiashi, Zhao, Jian, Yang, Wenhan, Yan, Shuicheng

“… In this paper, we propose a robust LSTM-Autoencoders (RLA) model to effectively restore partially occluded faces even in the…”
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A Bayesian Augmented-Learning framework for spectral uncertainty quantification of incomplete records of stochastic processes Autor Chen, Yu, Patelli, Edoardo, Edwards, Benjamin, Beer, Michael

“…A novel Bayesian Augmented-Learning framework, quantifying the uncertainty of spectral representations of stochastic processes in the presence of missing data,…”
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Solar Irradiation Prediction Hybrid Framework Using Regularized Convolutional BiLSTM-Based Autoencoder Approach Autor Chiranjeevi, Madderla, Karlamangal, Skandha, Moger, Tukaram, Jena, Debashisha

“…: feature encoding and dimensionality reduction using an LSTM autoencoder, followed by a regularized…”
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Autoencoder-Based Detection of Insulin Pump Faults in Type 1 Diabetes Treatment Autor Idi, Elena, Prendin, Francesco, Sparacino, Giovanni, Favero, Simone Del

“…Individuals with type 1 diabetes (T1D) require lifelong insulin replacement to compensate for deficient endogenous insulin secretion, which would otherwise…”
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Detecting Driver Drowsiness as an Anomaly Using LSTM Autoencoders Autor Tüfekci, Gülin, Alper Kayabaşi, Erdem Akagündüz, Ulusoy, İlkay

“…In this paper, an LSTM autoencoder-based architecture is utilized for drowsiness detection with ResNet-34 as feature extractor…”
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A comparative study on wearables and single-camera video for upper-limb out-of-the-lab activity recognition with different deep learning architectures Autor Zarzuela, Mario Martínez, González-Ortega, David, Antón-Rodríguez, Míriam, Díaz-Pernas, Francisco Javier, Müller, Henning, Simón-Martínez, Cristina

“…The use of a wide range of computer vision solutions, and more recently high-end Inertial Measurement Units (IMU) have become increasingly popular for…”
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A Long Short-Term Memory Autoencoder Approach for EEG Motor Imagery Classification Autor Elessawy, Raghda H., Eldawlatly, Seif, Abbas, Hazem M.

“…Motor imagery represents one Brain-Computer Interface (BCI) paradigm that has been utilized in developing applications to assist subjects with motor disability…”
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LSTM Based Hybrid Neural Network for PMU Data Forecasting and Anomaly Detection Autor Garza, Luis F., Mandal, Paras

“…The electric power grid is subject to several vulnerabilities, which have an adverse impact on the reliability of the system…”
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