Výsledky vyhledávání - "Asymmetrical autoencoder"

A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression Autor Zhu, Xin, Yang, Daoguang, Pan, Hongyi, Karimi, Hamid Reza, Ozevin, Didem, Cetin, Ahmet Enis

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Efficient Bearing Sensor Data Compression via an Asymmetrical Autoencoder with a Lifting Wavelet Transform Layer Autor Zhu, Xin, Cetin, Ahmet Enis

“… In this paper, a novel asymmetrical autoencoder with a lifting wavelet transform (LWT) layer is developed to compress bearing sensor data…”
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Deep learning based asymmetrical autoencoder for PAPR reduction of CP-OFDM systems Autor Abdullah, Ezmin, Dimyati, Kaharudin, Muhamad, Wan Norsyafizan W., Izzati Shuhaimi, Nurain, Mohamad, Roslina, Hidayat, Nabil M.

“…[Display omitted] Adoption of Orthogonal Frequency Division Multiplexing (OFDM) in 5th Generation New Radio (5G NR) as a multicarrier modulation technique…”
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A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression Autor Zhu, Xin, Yang, Daoguang, Pan, Hongyi, Karimi, Hamid Reza, Ozevin, Didem, Cetin, Ahmet Enis

“… In this paper, we present a signal-adaptive asymmetrical autoencoder with a transform domain layer to compress sensor signals…”
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scAAGA: Single cell data analysis framework using asymmetric autoencoder with gene attention Autor Meng, Rui, Yin, Shuaidong, Sun, Jianqiang, Hu, Huan, Zhao, Qi

“… In this work, we propose a novel scRNA-seq analysis framework called scAAGA. Specifically, we utilize an asymmetric autoencoder with a gene attention module to learn…”
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SVD-AE: An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection Autor Yao, Yueyue, Ma, Jianghong, Feng, Shanshan, Ye, Yunming

“… An asymmetric autoencoder architecture is proposed, where two encoders are used to capture features in time and variable dimensions and a shared decoder is used to generate reconstructions based…”
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Deep Convolutional Asymmetric Autoencoder-Based Spatial-Spectral Clustering Network for Hyperspectral Image Autor Liu, Baisen, Kong, Weili, Wang, Yan

“… In this paper, we propose a novel deep convolutional asymmetric autoencoder-based spatial-spectral clustering network (DCAAES2C-Net…”
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Virtual restoration of ancient mold-damaged paintings based on spectral-guided asymmetric autoencoder for hyperspectral images Autor Wang, Sa, Cen, Yi, Qu, Liang, Diao, Yuru, Li, Guanghua, Chen, Yao

“… This paper proposed the Spectral-Guided Restoration Asymmetric Autoencoder (MoldSGR-AsyAutoencoder…”
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Efficient Deep Learning-Based Lossy Image Compression Via Asymmetric Autoencoder and Pruning Autor Kim, Jun-Hyuk, Choi, Jun-Ho, Chang, Jaehyuk, Lee, Jong-Seok

“… In this paper, we propose efficient lossy image compression methods based on asymmetric autoencoder and decoder pruning…”
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Asymmetric-Based Residual Shrinkage Encoder Bearing Health Index Construction and Remaining Life Prediction Autor Zhang, Baobao, Zhang, Jianjie, Yu, Peibo, Cao, Jianhui, Peng, Yihang

“…Predicting the remaining useful life (RUL) of bearings is crucial for maintaining the reliability and availability of mechanical systems. Constructing health…”
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Domain Adaptation in Beam Management using Asymmetric Autoencoder and Transfer Learning Autor Hoque, Mafuzal, Elsayed, Medhat, Erol-Kantarci, Melike

“…In 5G millimeter wave (mmWave) networks, beam management is crucial for establishing optimal transmitter-receiver beam pairs between the base station (gNB) and…”
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Time Series Anomaly Detection Based on Asymmetric Autoencoder and Gaussian Mixture Model Autor Liu, Weiwei, Liu, Cong, Niu, Xuefen, Xu, Changming

“…Time series data are widely used in domains such as finance, industry, transportation, and healthcare. Anomaly detection in multivariate time series is a…”
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IMPLEMENTATION OF ASYMMETRIC AUTOENCODER FOR EMBEDDED DEVICES

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An Improved End-to-End Autoencoder Based on Reinforcement Learning by Using Decision Tree for Optical Transceivers Autor Zhang, Qianwu, Wang, Zicong, Duan, Shuaihang, Cao, Bingyao, Wu, Yating, Chen, Jian, Zhang, Hongbo, Wang, Min

“… Transmitters and receivers are considered as an asymmetrical autoencoder combining a deep neural network and the Adaboost algorithm…”
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A hybrid-driven remaining useful life prediction method combining asymmetric dual-channel autoencoder and nonlinear Wiener process Autor Duan, Yuhang, Liu, Zhen, Li, Honghui, Zhang, Chun, Zhang, Ning

“…Remaining Useful Life (RUL) prediction is an essential aspect of Prognostics and Health Management (PHM), facilitating the assessment of mechanical components’…”
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OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework Autor Ching, Cheng-Wei, Gupta, Chirag, Huang, Zi, Hu, Liting

“…Compressed data aggregation (CDA) over wireless sensor networks (WSNs) is task-specific and subject to environmental changes. However, the existing compressed…”
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Asymmetric Supervised Deep Autoencoder for Depth Image based 3D Model Retrieval Autor Siddiqua, Ayesha, Fan, Guoliang

“…In this paper, we propose a new asymmetric supervised deep autoencoder approach to retrieve 3D shapes based on depth images. The asymmetric supervised…”
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Asymmetric Anomaly Detection for Human-Robot Interaction Autor Lv, Hao, Yi, Pengfei, Liu, Rui, Hou, YingKun, Zhou, Dongsheng, Zhang, Qiang, Wei, Xiaopeng

“…Security in human-robot interaction is the focus of research in this field. Rapid detection of abnormal events that may cause danger in the interaction process…”
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Exploring Asymmetric Autoencoder Architectures for Computationally-Efficient Neural Image Compression Autor Augusto, Leonardo, Arguilar, Vitor, Da Silveira, Thiago L. T., Grellert, Mateus

“… This work optimizes a reference NIC model. We reduce computational costs by designing asymmetric autoencoders with efficient decoders…”
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Asymmetric Autoencoders: An NN alternative for resource-constrained devices in IoT networks Autor Gilbert, Mateus S., de Campos, Marcello L.R., Campista, Miguel Elias M.

“…Local computation and communication are known challenges for energy-constrained devices that can become even more complex if we consider data acquisition with…”
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