Výsledky vyhľadávania - "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

“…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…”
Získať plný text

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…”
Získať plný text

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…”
Získať plný text

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…”
Získať plný text

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…”
Získať plný text

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…”
Získať plný text

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…”
Získať plný text

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…”
Získať plný text

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…”
Získať plný text

LSTM-Autoencoder Network for the Detection of Seismic Electric Signals Autor 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…”
Získať plný text

Developing health indicators and RUL prognostics for systems with few failure instances and varying operating conditions using a LSTM autoencoder Autor de Pater, Ingeborg, Mitici, Mihaela

“… There are thus very few labelled data samples available. We therefore propose a Long Short-Term Memory (LSTM…”
Získať plný text

LSTM-Autoencoder Based Anomaly Detection Using Vibration Data of Wind Turbines Autor 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…”
Získať plný text

GCN-Based LSTM Autoencoder with Self-Attention for Bearing Fault Diagnosis Autor 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…”
Získať plný text

LSTM-Autoencoder for Vibration Anomaly Detection in Vertical Carousel Storage and Retrieval System (VCSRS) Autor 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…”
Získať plný text

Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe Autor 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…”
Získať plný text

A novel LSTM-autoencoder and enhanced transformer-based detection method for shield machine cutterhead clogging Autor 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,…”
Získať plný text

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…”
Získať plný text

A novel unsupervised deep learning approach for vibration-based damage diagnosis using a multi-head self-attention LSTM autoencoder Autor 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…”
Získať plný text

An LSTM-autoencoder based online side channel monitoring approach for cyber-physical attack detection in additive manufacturing Autor 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…”
Získať plný text

Wind Turbine Blade Breakage Monitoring With Mogrifier LSTM Autoencoder Autor 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…”
Získať plný text