Search Results - "LSTM autoencoder"

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

“…Anomaly detection for indoor air quality (IAQ) data has become an important area of research as the quality of air is closely related to human health and…”
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Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder by 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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Spam review detection using LSTM autoencoder: an unsupervised approach by 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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Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems by 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 by 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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Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management by 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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Multi-label LSTM autoencoder for non-intrusive appliance load monitoring by Verma, Sagar, Singh, Shikha, Majumdar, Angshul

“…•Proposed a new approach to NILM.•LSTM autoencoder fuses dynamic and static modeling paradigms…”
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ECG-NET: A deep LSTM autoencoder for detecting anomalous ECG by 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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Arrhythmia classification of LSTM autoencoder based on time series anomaly detection by 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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LSTM-Autoencoder Network for the Detection of Seismic Electric Signals by Xue, Jiyan, Huang, Qinghua, Wu, Sihong, Nagao, Toshiyasu

“…Seismic electric signals (SESs) are essential short-term precursors of earthquakes. Accurate and efficient detection of SESs is significant to short-term…”
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Developing health indicators and RUL prognostics for systems with few failure instances and varying operating conditions using a LSTM autoencoder by de Pater, Ingeborg, Mitici, Mihaela

“… There are thus very few labelled data samples available. We therefore propose a Long Short-Term Memory (LSTM…”
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LSTM-Autoencoder Based Anomaly Detection Using Vibration Data of Wind Turbines by Lee, Younjeong, Park, Chanho, Kim, Namji, Ahn, Jisu, Jeong, Jongpil

“…The problem of energy depletion has brought wind energy under consideration to replace oil- or chemical-based energy. However, the breakdown of wind turbines…”
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GCN-Based LSTM Autoencoder with Self-Attention for Bearing Fault Diagnosis by Lee, Daehee, Choo, Hyunseung, Jeong, Jongpil

“…The manufacturing industry has been operating within a constantly evolving technological environment, underscoring the importance of maintaining the efficiency…”
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LSTM-Autoencoder for Vibration Anomaly Detection in Vertical Carousel Storage and Retrieval System (VCSRS) by Do, Jae Seok, Kareem, Akeem Bayo, Hur, Jang-Wook

“…Industry 5.0, also known as the “smart factory”, is an evolution of manufacturing technology that utilizes advanced data analytics and machine learning…”
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Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe by Ibrahim, Mohamed R., Haworth, James, Lipani, Aldo, Aslam, Nilufer, Cheng, Tao, Christie, Nicola

“… We introduce a novel variational-LSTM Autoencoder model to predict the spread of coronavirus for each country across the globe…”
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A novel LSTM-autoencoder and enhanced transformer-based detection method for shield machine cutterhead clogging by Qin, ChengJin, Wu, RuiHong, Huang, GuoQiang, Tao, JianFeng, Liu, ChengLiang

“…Shield tunneling machines are paramount underground engineering equipment and play a key role in tunnel construction. During the shield construction process,…”
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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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A novel unsupervised deep learning approach for vibration-based damage diagnosis using a multi-head self-attention LSTM autoencoder by Ghazimoghadam, Shayan, Hosseinzadeh, S.A.A.

“…•End-to-end unsupervised deep learning algorithm for structural damage diagnosis.•Proposed model excels in comparative evaluation against other unsupervised…”
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An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing by Shi, Zhangyue, Mamun, Abdullah Al, Kan, Chen, Tian, Wenmeng, Liu, Chenang

“…Additive manufacturing (AM) has gained increasing popularity in a large variety of mission-critical fields, such as aerospace, medical, and transportation. The…”
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Wind Turbine Blade Breakage Monitoring With Mogrifier LSTM Autoencoder by Wu, Ping, Wang, Yixuan, Zhang, Xujie, Gao, Jinfeng, Wang, Lin, Liu, Yichao

“…Wind turbines (WTs) often work in harsh environmental conditions. The risk of blade breakage by hitting the tower has increased because of the decreased…”
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