Results 271 to 280 of about 143,911 (316)

ECG Signal Compression and Reconstruction Based on CNN-LSTM-Attention Model. [PDF]

Sensors (Basel)
Liu W, Chen D, Zhang Z, Cao Y, Liu Y, Gui Z, Liu L.   +6 more
europepmc   +1 more source

Weibull Variational Autoencoder for Remaining Useful Life Prediction

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu, Yoojin Jang, Kwanghui Shin, Jinsoo Jeong, Yong Soo Kim   +4 more
wiley   +1 more source

A Surface Thermal Sensing Framework for Internal Winding Temperature Estimation in Oil-Immersed Converter Transformers. [PDF]

Sensors (Basel)
Han S, Wang Z, Tang Y, Huang L, Jiang H, Li X.   +5 more
europepmc   +1 more source

AI models of unstable flow exhibit hallucination. [PDF]

Sci Rep
Wibawa R, Jha B.
europepmc   +1 more source

Vanilla LSTM Predictive Maintenance Model for Scientific Research Facilities. [PDF]

Sensors (Basel)
Nkadimeng E, Gololo M, Karmoude M, Stodart N, Kumar M, Mellado B.   +5 more
europepmc   +1 more source

Dynamic Prediction of 3-Month Recurrence After First-Ever Ischemic Stroke Using a Two-Stream Attention-LSTM Model - Henan Province, China, 2025. [PDF]

China CDC Wkly
Zhou Q, Zhao M, Wanyan T, Sun C.
europepmc   +1 more source

Bimodal spectroscopy integrating multi-wavelength time-resolved photoacoustic spectroscopy and near-infrared spectroscopy with deep learning for quantitative detection of serum biochemical indicators. [PDF]

Photoacoustics
Ren Z, Chen C, Liang G, Zhang H, Shi W, Zhang J, Xiao G, Zhu X, Nie W.   +8 more
europepmc   +1 more source

Clinically interpretable deep learning for breast cancer missense variant pathogenicity prediction. [PDF]

Front Bioinform
Ahmad RM, AlDhaheri N, Mohamad MS, Ali BR.   +3 more
europepmc   +1 more source

Field Data Forecasting Using LSTM and Bi-LSTM Approaches [PDF]

Applied Sciences (Switzerland), 2021
Water, an essential resource for crop production, is becoming increasingly scarce, while cropland continues to expand due to the world’s population growth. Proper irrigation scheduling has been shown to help farmers improve crop yield and quality, resulting in more sustainable water consumption.
Abdelaziz Bouras, Pradorn Sureephong, Abdelhak Belhi   +2 more
exaly   +4 more sources

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Host–Parasite: Graph LSTM-in-LSTM for Group Activity Recognition

IEEE Transactions on Neural Networks and Learning Systems, 2021
This article aims to tackle the problem of group activity recognition in the multiple-person scene. To model the group activity with multiple persons, most long short-term memory (LSTM)-based methods first learn the person-level action representations by several LSTMs and then integrate all the person-level action representations into the following ...
Xiangbo Shu, Liyan Zhang 0001, Yunlian Sun, Jinhui Tang 0001   +3 more
openaire   +2 more sources