Suchergebnisse - 1D conventional autoencoder~

ECG Anomaly Detection with LSTM-Autoencoder for Heartbeat Analysis von Farady, Isack, Patel, Vraj, Kuo, Chia-Chen, Lin, Chih-Yang

“… Traditional methods often lack interpretability, posing limitations in ECG signal analysis. In this study, we propose an LSTM-based autoencoder to detect anomalies in 1D ECG signals, taking inspiration from 2D image anomaly detection techniques …”
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A dynamic-inner convolutional autoencoder for process monitoring von Zhang, Shuyuan, Qiu, Tong

“… •1-dimensional CNN is adopted as the layer structure of autoencoder for extracting temporal features of process variables …”
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One-dimensional deep convolutional autoencoder active infrared thermography: Enhanced visualization of internal defects in FRP composites von Zhang, Yubin, Xu, Changhang, Liu, Pengqian, Xie, Jing, Han, Yage, Liu, Rui, Chen, Lina

“… To address this issue, this study proposes a novel method called one-dimensional deep convolutional autoencoder active infrared thermography (1D-DCAE-AIRT …”
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Enhancing corrosion detection in pulsed eddy current testing systems through autoencoder-based unsupervised learning von Le, Minhhuy, Pham, Phuong Huy, Trung, Le Quang, Hoang, Sy Phuong, Le, Duc Minh, Pham, Quang Vuong, Luong, Van Su

“… This autoencoder integrates Long Short-Term Memory and 1D convolutional layers, acquiring the underlying features of normal PECT …”
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Intelligent zero-velocity detection with autoencoder fusion for enhanced foot-mounted human tracking von Liu, Yu, Zhou, Jun, Song, Ruimin, Chen, Yanping, Huang, Jiangfeng, Liu, Jiaxin, Chen, Guangping, Zhou, Qiao, Lin, Feifan

“… The Strapdown Inertial Navigation Systems (SINS) based on single-foot constitute a critical research direction for pedestrian autonomous positioning, though the position accuracy remains limited by conventional fixed threshold zero-velocity …”
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A convolutional autoencoder-based approach with batch normalization for energy disaggregation von Chen, Huan, Wang, Yue-Hsien, Fan, Chun-Hung

“… The 1D-CNN autoencoder is used to extract the temporal features, and the BN is used to re-adjust the output distribution of each layer …”
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The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization von Xu, Feng, Li, Zhiyong, Wen, Bo, Huang, Youhui, Wang, Yaojun

“… Conventional pattern recognition methods directly use 1D poststack data or 2D prestack data for the statistical pattern recognition of fault and fracture network, thereby ignoring the spatial …”
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A Hybrid Deep Physics Neural Network Model for Unsupervised Autoencoder to Perform Data Conditioning von Madasu, Srinath, Rangarajan, Keshava P.

“… ) model are used to simultaneously build a data conditioning autoencoder (DPNNAE) based on DPNN for enhancing the signal strength, compared to a conventional autoencoder (AE …”
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Design of Identification System Based on Machine Tools’ Sounds Using Neural Networks von Nagata, Fusaomi, Morimoto, Tomoaki, Watanabe, Keigo, Habib, Maki K.

“… Recently, deep learning models such as convolutional neural networks (CNNs), convolutional autoencoders (CAEs …”
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Generative models for molecular discovery: Recent advances and challenges von Bilodeau, Camille, Jin, Wengong, Jaakkola, Tommi, Barzilay, Regina, Jensen, Klavs F.

“… Development of new products often relies on the discovery of novel molecules. While conventional molecular design involves using human expertise to propose …”
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Percussion-based concrete fiber content recognition using homologous heterogeneous data fusion and denoising deep learning network von Gao, Weihang, Chen, Lin, Zhang, Caiyan, Lu, Xilin, Lu, Wensheng

“… •The integrated 1D-DAECNN can achieve concrete fiber content recognition under high noise conditions …”
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Deep representation learning for Nuclear Magnetic Resonance spectral clustering von Hu, Wentao, Shao, Zichen, Xu, Yanchao, Yu, Linzhu, Chang, Zhihao

“… To address these challenges, we propose a novel framework that combines an attention mechanism with a bidirectional long short-term memory autoencoder …”
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Non-destructive estimation for Kyoho grape shelf-life using Vis/NIR hyperspectral imaging and deep learning algorithm von Xu, Min, Sun, Jun, Cheng, Jiehong, Yao, Kunshan, Shi, Lei, Zhou, Xin

“… •PCA and LPP were studied and compared to obtain conventional features for classification …”
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Machine learning based workflow for (micro)plastic spectral reconstruction and classification von Liu, Yanlong, Zhao, Ziwei, Hu, Chunyang, Zhang, Huaqi, Zhou, Lei, Zheng, Yian

“… To enhance the quality of MPs spectra, two reconstruction models named autoencoders (AE) and V-like convolutional neural networks (VCNN) were employed …”
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Derivation of Kinetic Parameters and Lignocellulosic Composition From Thermogram of Biomass Pyrolysis Using Convolutional Neural Network von Kim, Heeyoon, Jo, Hyunbin, Ryu, Changkook

“… Furthermore, to enhance prediction accuracy, a denoising autoencoder (DAE) was crafted to eliminate noise from experimental data effectively. The 1D …”
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Pattern-Aware BiLSTM Framework for Imputation of Missing Data in Solar Photovoltaic Generation von Jang, Minseok, Joo, Sung-Kwan

“… ) model for solar generation imputation to address this challenge. In contrast to conventional convolution-based approaches such as the …”
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Deep learning approach-based prediction of transfer functions in structure-acoustic coupling models von Yu, Linqi, Qu, Yongqiang, Ku, Bon-Heon, Zhang, Meng, Hong, Chin-Suk, Lee, Jung Sub, Yousif, Mustafa Z., Lim, Hee-Chang

“… This study proposes a novel deep learning framework including an autoencoder and a convolutional neural network to predict transfer functions in the structure-acoustic-coupled model …”
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Feedback Convolution Based Autoencoder for Dimensionality Reduction in Hyperspectral Images von Pande, Shivam, Banerjee, Biplab

“… Therefore, we introduce a 1D-convolutional autoencoder based on feedback connections for hyperspec-tral dimensionality …”
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Vibration-based Anomaly Detection on Weather Radar Rotating Machinery using One Dimensional Convolutional Autoencoder von Styanidis, Aristotelis, Loufakis, Michail, Symeonidis, Panagiotis, Ioannidis, Dimosthenis, Tzovaras, Dimitrios, Kourmpetis, Ioannis

“… This paper presents a one dimensional convolutional autoencoder (1D-CAE) for vibration anomaly detection within weather radar systems, aiming to reduce the frequency of manual inspections and maintenance …”
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Three-Dimensional Urban Airflow Prediction Method Based on Space-Filling Curve Autoencoder von Wu, Pin, Weng, Longjie, Wang, Yubo, Feng, Weibing

“… The model uses the space-filling curve method to establish the mapping from 3d unstructured mesh to 1d sequence, and then extracts features from the mapped flow field snapshots by convolutional …”
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