Suchergebnisse - 1D convolutional autoencoder*

1D-CONVOLUTIONAL AUTOENCODER BASED HYPERSPECTRAL DATA COMPRESSION von Kuester, J., Gross, W., Middelmann, W.

“… In this paper, we introduce an approach to compress hyperspectral data based on a 1D-Convolutional Autoencoder …”
Volltext

1D Convolutional Autoencoder-Based PPG and GSR Signals for Real-Time Emotion Classification von Kang, Dong-Hyun, Kim, Deok-Hwan

“… classification method, a 1d convolutional neural network autoencoder model, and a lightweight model obtained using knowledge distillation …”
Volltext

Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM von Binbusayyis, Adel, Vaiyapuri, Thavavel

“… With the rapid advancement in network technologies, the need for cybersecurity has gained increasing momentum in recent years. As a primary defense mechanism, …”
Volltext

OCAE-based feature extraction and cluster analysis of high-energy-consuming plant loads von Zhou, Mengran, Kong, Weile, Hu, Feng, Zhu, Ziwei, Wu, Changzhen, Wang, Ling, Zhang, Qiqi, Zhou, Guangyao

“… This paper proposes an optimal convolutional autoencoder (OCAE) model designed for good feature extraction …”
Volltext

Denoising of Over-the-Horizon Propagation Loss Based on 1D Convolutional Autoencoder von Wu, Jiajing, Wei, Zhiqiang, Jia, Dongning, Zhang, Jinpeng, Yin, Bo, Ji, Hanjie

“… However, these systems are limited by signal noise. To address this issue, we construct a denoising model based on a one-dimensional convolutional autoencoder (1DCAE …”
Volltext

Automatic Baseline Correction of 1D Signals Using a Parameter-Free Deep Convolutional Autoencoder Algorithm von Górski, Łukasz, Jakubowska, Małgorzata

“… Our new procedure, based on the Convolutional Autoencoder (ConvAuto) model and combined with an automated implementation algorithm …”
Volltext

Automatic detection of epileptic seizure based on one dimensional cascaded convolutional autoencoder with adaptive window-thresholding von Aboyeji, Sunday Timothy, Wang, Xin, Chen, Yan, Ahmad, Ijaz, Li, Lin, Liu, Zhenzhen, Yao, Chen, Zhao, Guoru, Zhang, Yu, Li, Guanglin, Chen, Shixiong

“… To address this, our study introduces an unsupervised learning framework for ESD using a 1D-Cascaded Convolutional Autoencoder (1D-CasCAE …”
Weitere Angaben

High-precision detection of dibutyl hydroxytoluene in edible oil via convolutional autoencoder compressed Fourier-transform near-infrared spectroscopy von Deng, Jihong, Chen, Zhenyu, Jiang, Hui, Chen, Quansheng

“… In this study, a pioneering detection approach involving the use of a one-dimensional convolutional autoencoder (1D-CAE …”
Volltext

A New Method for DC Transmission Line Protection Based on Deep Self-Supervised Clustering von Shan, Jieshan, Wang, Xinglong, Li, Qiang, He, Tongbo, Zhang, Shihong, Yue, Dinghui

“… The method integrates a 1D convolutional autoencoder (1D-CAE) and the K-means clustering algorithm …”
Volltext

Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders von Dutt, Micheal, Redhu, Surender, Goodwin, Morten, Omlin, Christian W.

“… This work proposes a one-dimensional convolutional autoencoder (1D-CAE) based on a single-channel EEG signal for sleep stage identification …”
Volltext

Vibration-based structural anomaly detection in real-time with piezoelectric patches on a tension rod assembly von Rababah, Ahmad, Abdeljaber, Osama, Avci, Onur

“… •Supervised (1D-CNN, CNN-LSTM) and unsupervised (CAE, CAE-LSTM) models are employed.•A structural health index is computed using classification outputs or reconstruction errors …”
Volltext

Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography von Zreik, Majd, van Hamersvelt, Robbert W., Khalili, Nadieh, Wolterink, Jelmer M., Voskuil, Michiel, Viergever, Max A., Leiner, Tim, Isgum, Ivana

“… In patients with obstructive coronary artery disease, the functional significance of a coronary artery stenosis needs to be determined to guide treatment. This …”
Volltext

MCN portfolio: An efficient portfolio prediction and selection model using multiserial cascaded network with hybrid meta-heuristic optimization algorithm von Sharma, Meeta, Sharma, Pankaj Kumar, Vijayvergia, Hemant Kumar, Garg, Amit, Agarwal, Shyam Sundar, Saxena, Varun Prakash

“… For forecasting the benefits of companies, a Multi-serial Cascaded Network (MCNet) is employed which constitutes of Autoencoder, 1D Convolutional Neural Network (1DCNN …”
Volltext

Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder von Chaudhry, Shubham, Abdedou, Azzedine, Soulaïmani, Azzeddine

“… Conversely, the CAE-MLP model employs a 1D convolutional autoencoder to reduce the spatial dimension of a high-fidelity snapshot matrix derived from numerical simulations …”
Volltext

Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders von Abdedou, Azzedine, Soulaimani, Azzeddine

“… The method uses a 1D-convolutional autoencoder to reduce the spatial dimension of the unstructured meshes used by the flow solver …”
Volltext

Integrating single-cell multimodal epigenomic data using 1D convolutional neural networks von Gao, Chao, Welch, Joshua D

“… Results We developed ConvNet-VAEs, a novel framework that uses one-dimensional (1D) convolutional variational autoencoders (VAEs …”
Volltext

Convolutional neural networks for mapping of lake sediment core particle size using hyperspectral imaging von Ghanbari, Hamid, Antoniades, Dermot

“… •Using of convolutional autoencoders feature extraction method.•Combination of HSIs and deep learning methods to replace the measurements from laser granulometry …”
Volltext

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 …”
Volltext

Predictive maintenance for offshore oil wells by means of deep learning features extraction von Gatta, Federico, Giampaolo, Fabio, Chiaro, Diletta, Piccialli, Francesco

“… Nowadays, the great diffusion of the Internet of Things and the improvements in Artificial Intelligence techniques have given a rise in the development and …”
Volltext

Reconstruction of pile-up events using a one-dimensional convolutional autoencoder for the NEDA detector array von Deltoro, J. M., Jaworski, G., Goasduff, A., González, V., Gadea, A., Palacz, M., Valiente-Dobón, J. J., Nyberg, J., Casans, S., Navarro-Antón, A. E., Sanchis, E., de Angelis, G., Boujrad, A., Coudert, S., Dupasquier, T., Ertürk, S., Stezowski, O., Wadsworth, R.

“… ) using an one-dimensional convolutional autoencoder (1D-CAE). The datasets for training and testing the 1D-CAE are created from data acquired from the NEDA …”
Volltext