Výsledky vyhledávání - "1D convolutional autoencoder"

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

“… In this paper, we introduce an approach to compress hyperspectral data based on a 1D-Convolutional Autoencoder…”
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1D Convolutional Autoencoder-Based PPG and GSR Signals for Real-Time Emotion Classification Autor Kang, Dong-Hyun, Kim, Deok-Hwan

“…To apply emotion recognition and classification technology to the field of human-robot interaction, it is necessary to implement fast data processing and model…”
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Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM Autor 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,…”
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OCAE-based feature extraction and cluster analysis of high-energy-consuming plant loads Autor Zhou, Mengran, Kong, Weile, Hu, Feng, Zhu, Ziwei, Wu, Changzhen, Wang, Ling, Zhang, Qiqi, Zhou, Guangyao

“…•Proposes a DL model that has better load feature extraction than 1D-CAE.•Proposes a DL model joint k-means load clustering method with excellent…”
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Denoising of Over-the-Horizon Propagation Loss Based on 1D Convolutional Autoencoder Autor Wu, Jiajing, Wei, Zhiqiang, Jia, Dongning, Zhang, Jinpeng, Yin, Bo, Ji, Hanjie

“…Over-the-horizon radar systems have attracted widespread attention because they target at resolving the challenges of marine communication over long distance…”
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A New Method for DC Transmission Line Protection Based on Deep Self-Supervised Clustering Autor 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…”
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Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders Autor Dutt, Micheal, Redhu, Surender, Goodwin, Morten, Omlin, Christian W.

“…Automatic sleep stage classification can play a vital role when measuring sleep quality and diagnosing different sleep-related ailments. Several automated…”
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Convolutional neural networks for mapping of lake sediment core particle size using hyperspectral imaging Autor Ghanbari, Hamid, Antoniades, Dermot

“…•Application of remote sensing techniques in inland water environmental studies.•Laboratory-based hyperspectral imaging of nine lake sediment cores across…”
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Automated cell-type classification combining dilated convolutional neural networks with label-free acoustic sensing Autor Jeon, Hyeon-Ju, Lim, Hae Gyun, Shung, K. Kirk, Lee, O-Joun, Kim, Min Gon

“…This study aimed to automatically classify live cells based on their cell type by analyzing the patterns of backscattered signals of cells with minimal effect…”
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Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders Autor 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…”
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Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder Autor 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…”
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EmoDescriptor: A hybrid feature for emotional classification in dance movements Autor Bai, Junxuan, Dai, Rong, Dai, Ju, Pan, Junjun

“…Similar to language and music, dance performances provide an effective way to express human emotions. With the abundance of the motion capture data,…”
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Compression method for solar polarization spectra collected from Hinode SOT/SP observations Autor Batmunkh, J., Iida, Y., Oba, T., Iijima, H.

“…) and 1D-convolutional autoencoder (CAE) models, developed for use on the Hinode SOT/SP data…”
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Frequency informed convolutional autoencoder for in situ anomaly detection in wire arc additive manufacturing Autor Mattera, Giulio, Vozza, Mario, Polden, Joseph, Nele, Luigi, Pan, Zengxi

“…) based on deep learning, namely 1D-Convolutional AutoEncoder. By integrating…”
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Multivariate time-series cyberattack detection in the distributed secondary control of AC microgrids with convolutional neural network autoencoder ensemble Autor Roshanzadeh, Behshad, Choi, Jeewon, Bidram, Ali, Martínez-Ramón, Manel

“…). The paper utilizes a 1D Convolutional Autoencoder (CAE) for cyberattack detection on a microgrid’s distributed secondary frequency control…”
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Mastitis Classification in Dairy Cows Using Weakly Supervised Representation Learning Autor Cho, Soo-Hyun, Lee, Mingyung, Lee, Wang-Hee, Seo, Seongwon, Lee, Dae-Hyun

“…Detecting mastitis on time in dairy cows is crucial for maintaining milk production and preventing significant economic losses, and machine learning has…”
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Cardiac-Related Signals Extraction in EIT using Generative Adversarial Networks Autor Cai, Yuxuan, Zhang, Ke, Li, Maokun, Yang, Fan, Xu, Shenheng

“… A signal extraction network and a discriminator are trained jointly in a competitive manner, where the signal extraction network uses a 1D convolutional autoencoder architecture to extract CRS from EIT signals…”
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Toward Accurate Odor Identification and Effective Feature Learning With an AI-Empowered Electronic Nose Autor Ye, Zhenyi, Li, Yaonian, Jin, Ruth, Li, Qiliang

“…The development of Internet of Thing technology and robotics can be significantly promoted to a higher level with a precise digital sense of odors. However,…”
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Process Monitoring of One-Shot Drilling of Al/CFRP Aeronautical Stacks Using the 1DCAE-GMM Framework Autor Mattera, Giulio, Marchesano, Maria Grazia, Caggiano, Alessandra, Guizzi, Guido, Nele, Luigi

“…This study explores advanced process monitoring for one-shot drilling of aeronautical stacks made of aluminium 2024 and carbon fibre-reinforced polymer (CFRP)…”
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BORCAE: Bayesian Optimized Residual Convolutional Autoencoder for Efficient Feedback Compression in RIS-Assisted Time-Varying IoT Networks Autor Bhardwaj, Vikash Kumar, Singh, Abhishek, Sharma, Shourya, Shukla, Mahendra K., Pandey, Om Jee

“… In this work, we propose Bayesian Optimized Residual Convolutional AutoEncoder (BORCAE), a lightweight and noise-resilient feedback compression framework based on a 1D Convolutional Autoencoder with residual connections…”
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