Search Results - "LSTM autoencoder"

Estimation of Fugl–Meyer Assessment Upper-Extremity Sub-Scores Using a Mixup-Augmented LSTM Autoencoder and Wearable Sensor Data by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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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