Suchergebnisse - "Stack denoising autoencoder"

BePCon: A Photoplethysmography-based Quality-aware Continuous Beat-to-Beat Blood Pressure Measurement Technique Using Deep Learning von Roy, Monalisa Singha, Gupta, Rajarshi, Sharma, Kaushik Das

“… Research on noninvasive blood pressure (NIBP) measurement using electrocardiogram (ECG)/ photoplethysmogram (PPG) and their combinations have been most popular …”
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Long baseline underwater source localization based on deep K-Means++ clustering in complex underwater environments von Dai, Yawen, Yang, Lei, Cao, Yifei

“… Long baseline localization relies on trilateration, with the least squares method being utilized to determine the unique position of underwater sources …”
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An Intelligent Fault Diagnosis Method for Reciprocating Compressors Based on LMD and SDAE von Liu, Yang, Duan, Lixiang, Yuan, Zhuang, Wang, Ning, Zhao, Jianping

“… The effective fault diagnosis in the prognostic and health management of reciprocating compressors has been a research hotspot for a long time. The vibration …”
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On-Device Reliability Assessment and Prediction of Missing Photoplethysmographic Data Using Deep Neural Networks von Singha Roy, Monalisa, Roy, Biplab, Gupta, Rajarshi, Das Sharma, Kaushik

“… Photoplethysmographic (PPG) measurements from ambulatory subjects may suffer from unreliability due to body movements and missing data segments due to …”
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A Hybrid Three-Staged, Short-Term Wind-Power Prediction Method Based on SDAE-SVR Deep Learning and BA Optimization von Duan, Ruiqin, Peng, Xiaosheng, Li, Cong, Yang, Zimin, Jiang, Yan, Li, Xiufeng, Liu, Shuangquan

“… Wind power prediction (WPP) is necessary to the safe operation and economic dispatch of power systems. In order to improve the prediction accuracy of WPP, in …”
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Stack Denoising Autoencoder and State-Space Model Based Bearing RUL Prediction Method von Yang, Lei, Xu, Cuiwentong, Duan, Rongkai, Liao, Yuhe

“… Rolling element bearing is a critical component in a machinery, so its remaining useful life (RUL) prediction becomes a research hotspot in recent years …”
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