Suchergebnisse - TCN–Autoencoder

Multi-output TCN autoencoder for long-term pollution forecasting for multiple sites von Samal, K. Krishna Rani, Panda, Ankit Kumar, Babu, Korra Sathya, Das, Santos Kumar

“… •PM2.5 and PM10 are two major contributors to air pollution.•R-MIMO strategy can improve the long-term pollutant forecasting performance.•Multi-output learning …”
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Process data based estimation of tool wear on punching machines using TCN-Autoencoder from raw time-series information von Asahi, Shota, Karadogan, Celalettin, Tamura, Satoshi, Hayamizu, Satoru, Liewald, Mathias

“… In this paper, we propose a method to estimate wear state of punches using Temporal Convolutional Network Autoencoder (TCN-Autoencoder …”
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Anomaly Detection of Gas Pipeline Operational Data Using TCN-Autoencoder and LSTM-Autoencoder Models von Gde Pradnyana, Anak Agung, Ihsan, Aditya Firman, Hasmawati

“… Anomalies in gas pipeline systems, such as undetected small leaks, are often the primary triggers of major failures that impact operational safety and the …”
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Advancements in Gas Turbine Fault Detection: A Machine Learning Approach Based on the Temporal Convolutional Network–Autoencoder Model von Fahmi, Al-Tekreeti Watban Khalid, Reza Kashyzadeh, Kazem, Ghorbani, Siamak

“… For this purpose, an advanced Temporal Convolutional Network (TCN)–Autoencoder model was presented to detect anomalies in vibration data …”
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Integrating Prior Knowledge Using Transformer for Gene Regulatory Network Inference von Weng, Guangzheng, Martin, Patrick, Kim, Hyobin, Won, Kyoung Jae

“… ) embeddings from publicly accessible biological data and a temporal convolutional network (TCN) autoencoder to capture regulatory patterns from single …”
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Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks von Kamrud, Alexander, Borghetti, Brett, Schubert Kabban, Christine, Miller, Michael

“… Tasks which require sustained attention over a lengthy period of time have been a focal point of cognitive fatigue research for decades, with these tasks …”
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A novel similarity-based remaining useful life prediction method under multiple failure modes with variable sensors von Xie, Kaixuan, Zhang, Qiang, Yang, Peixuan, Liu, Qiong

“… •An attention-based TCN autoencoder(ATCAE) is proposed to construct HI and failure features …”
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Dynamical Inference and Representations in Complex Biological Systems von Calderon, Josuan

“… This thesis introduces a comprehensive analytical framework that combines Temporal Autoencoders for Causal Inference (TACI) with a new pipeline for discovering …”
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Industrial sensor time series prediction based on CBDAE and TCN-Transformer von Tao, Xu, Xinyuan, Nan, Xin, Cai, Pu, Zhao

“… °Co-CBDAE-TCN-Transformer, which combines an improved Contrast Blind Denoising AutoEncoder (CBDAE …”
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