Výsledky vyhledávání - LSTM autoencoder

LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data Autor Wei, Yuanyuan, Jang-Jaccard, Julian, Xu, Wen, Sabrina, Fariza, Camtepe, Seyit, Boulic, Mikael

“…, often referred to as long-term dependencies). We propose a hybrid deep learning model that combines LSTM with Autoencoder for anomaly detection tasks in IAQ to address this issue…”
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Improved network anomaly detection system using optimized autoencoder − LSTM Autor Narmadha, S., Balaji, N.V.

“…Intrusion detection (ID) gives security in network traffic or system activities monitors to detect suspicious activities, behavior, potential attacks, or…”
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Spam review detection using LSTM autoencoder: an unsupervised approach Autor Saumya, Sunil, Singh, Jyoti Prakash

“…The review of online products or services is becoming a major factor in the user’s purchasing decisions. The popularity and influence of online reviews attract…”
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Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Autor Nguyen, H.D., Tran, K.P., Thomassey, S., Hamad, M.

“…•A LSTM Autoencoder network-based method combined with a one-class support vector machine…”
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Forecasting Foreign Exchange Volatility Using Deep Learning Autoencoder-LSTM Techniques Autor Jung, Gunho, Choi, Sun-Yong

“…Since the breakdown of the Bretton Woods system in the early 1970s, the foreign exchange (FX) market has become an important focus of both academic and…”
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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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Speech signals-based Parkinson’s disease diagnosis using hybrid autoencoder-LSTM models Autor Tekindor, Ayşe Nur, Akman Aydın, Eda

“… in the patient’s speech, they can be detected by acoustic analysis. In this study, a decision support system was proposed for the diagnosis of PD utilizing the feature extraction power of autoencoder…”
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LSTM-Autoencoder Based Incremental Learning for Industrial Internet of Things Autor Takele, Atallo Kassaw, Villany, Balazs

“… This paper introduces an incremental learning approach based on Long-Short Term Memory (LSTM) autoencoders, by sparsening the weight matrix and taking samples from previously trained sub-datasets…”
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A Novel Approach on Deep Learning—Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs’ Effect over COVID-19 Pandemic Autor Jang, Yong-Ju, Kim, Min-Seung, Lee, Chan-Ho, Choi, Ji-Hye, Lee, Jeong-Hee, Lee, Sun-Hong, Sung, Tae-Eung

“…Following the outbreak of the COVID-19 pandemic, the continued emergence of major variant viruses has caused enormous damage worldwide by generating social and…”
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Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder Autor Wu, Ji-Yan, Wu, Min, Chen, Zhenghua, Li, Xiao-Li, Yan, Ruqiang

“… To improve the RUL prediction accuracy with various degradation trends, this article proposes an algorithm dubbed degradation-aware long short-term memory (LSTM) autoencoder (AE) (DELTA…”
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Detection of price bubbles in Istanbul housing market using LSTM autoencoders: a district-based approach: Detection of price bubbles in Istanbul housing market using LSTM autoencoders Autor Ayan, Ebubekir, Eken, Süleyman

“…Since the early 2000s, there has been a long-term price increase trend in the Istanbul housing market, and this situation also has led to price bubble…”
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Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems Autor Ashraf, Javed, Bakhshi, Asim D., Moustafa, Nour, Khurshid, Hasnat, Javed, Abdullah, Beheshti, Amin

“…Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are vulnerable to security and safety issues that threaten the lives of the…”
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Multitask Air-Quality Prediction Based on LSTM-Autoencoder Model Autor Xu, Xinghan, Yoneda, Minoru

“… In response to this problem, this article proposes a long short-term memory (LSTM) autoencoder multitask learning model to predict <inline-formula> <tex-math notation="LaTeX">{\textrm {PM}}_{2.5} </tex-math></inline-formula…”
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Health indicator construction for degradation assessment by embedded LSTM–CNN​ autoencoder and growing self-organized map Autor Chen, Zhipeng, Zhu, Haiping, Wu, Jun, Fan, Liangzhi

“… To solve these problems, this paper proposes an embedded LSTM–CNN​ autoencoder to extract trend features that contain both local characteristics and degradation trend information from vibration data…”
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Data-Driven Day-Ahead PV Estimation Using Autoencoder-LSTM and Persistence Model Autor Zhang, Yue, Qin, Chuan, Srivastava, Anurag K., Jin, Chenrui, Sharma, Ratnesh K.

“…Inherent variability in photovoltaic (PV) and associated impacts on power systems is a challenging problem for both the PV owners and the grid operators…”
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Multi-label LSTM autoencoder for non-intrusive appliance load monitoring Autor Verma, Sagar, Singh, Shikha, Majumdar, Angshul

“…•Proposed a new approach to NILM.•LSTM autoencoder fuses dynamic and static modeling paradigms…”
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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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ECG-NET: A deep LSTM autoencoder for detecting anomalous ECG Autor Roy, Moumita, Majumder, Sukanta, Halder, Anindya, Biswas, Utpal

“… This paper proposes a novel and robust approach for representation learning of ECG sequences using a LSTM autoencoder for anomaly detection…”
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Unsupervised anomaly detection with LSTM autoencoders using statistical data-filtering Autor Maleki, Sepehr, Maleki, Sasan, Jennings, Nicholas R.

“… This enables the labelling of the data on the fly. Non-anomalous data is passed to train a deep Long Short-Term Memory (LSTM…”
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Arrhythmia classification of LSTM autoencoder based on time series anomaly detection Autor Liu, Pengfei, Sun, Xiaoming, Han, Yang, He, Zhishuai, Zhang, Weifeng, Wu, Chenxu

“…•This method does not need to manually set the model input parameters.•This method avoids the problems of gradient disappearance and is more stable.•The model…”
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