Výsledky vyhledávání - Autoencoder neural network

Network traffic classification using deep convolutional recurrent autoencoder neural networks for spatial–temporal features extraction Autor D’Angelo, Gianni, Palmieri, Francesco

“… For this purpose, a novel autoencoder-based deep neural network architecture…”
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Optimizing sEMG Gesture Recognition with Stacked Autoencoder Neural Network for Bionic Hand Autor Yadav, Mr. Amol Pandurang, Patil, Dr. Sandip.R.

“…This study presents a novel deep learning approach for surface electromyography (sEMG) gesture recognition using stacked autoencoder neural network…”
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Deep Autoencoder Neural Networks: A Comprehensive Review and New Perspectives: Deep Autoencoder Neural Networks Autor Mienye, Ibomoiye Domor, Swart, Theo G.

“…Autoencoders have become a fundamental technique in deep learning (DL), significantly enhancing representation learning across various domains, including image processing, anomaly detection, and generative modelling…”
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Cyber–physical anomaly detection for inverter-based microgrid using autoencoder neural network Autor Tabassum, Tambiara, Toker, Onur, Khalghani, Mohammad Reza

“…Contemporary cyber–physical systems have evolved into highly autonomous and distributed entities, enabled by cutting-edge control frameworks and advanced communication networks…”
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A One‐Class Autoencoder Neural Network Approach for Rapid Raman‐Based Pharmaceutical Quality Screening Autor Galeeva, Ekaterina V., Galeev, Roman R., Khokhlov, Alexander l., Saveliev, Anatoly A., Semanov, Dmitry A., Fomina, Irina. A., Chekanova, Yuliya. V., V.Somov, Dmitry

“…‐based neural network approach for the identification and screening of pharmaceutical products using their Raman spectra, trained exclusively on “positive” (authentic) spectra…”
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Research on Ship Radiated Noise Separation Method Based on Neural Network Autoencoder Combined With Time-Frequency Masking Autor Xia, Zhi, Zhang, Ziang, Shi, Jie, Zhao, Zihao

“… The proposed method integrates neural network autoencoders with time-frequency masking techniques…”
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A multi–modal unsupervised fault detection system based on power signals and thermal imaging via deep AutoEncoder neural network Autor Cordoni, Francesco, Bacchiega, Gianluca, Bondani, Giulio, Radu, Robert, Muradore, Riccardo

“… The considered dataset is highly unbalanced with the vast majority of samples being healthy. Thermal images are processed via a Deep Convolutional neural network…”
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Imputation of single-cell gene expression with an autoencoder neural network Autor Bahadur Badsha, Md, Li, Rui, Liu, Boxiang, Li, Yang I., Xian, Min, Banovich, Nicholas E., Qiuyan Fu, Audrey

“… Specifically, our LATE (Learning with AuToEncoder) method trains an autoencoder with random initial values of the parameters, whereas our TRANSLATE…”
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Combining autoencoder neural network and Bayesian inversion to estimate heterogeneous permeability distributions in enhanced geothermal reservoir: Model development and verification Autor Jiang, Zhenjiao, Zhang, Siyu, Turnadge, Chris, Xu, Tianfu

“…•Autoencoder neural network is developed for 3D parameter dimension reduction.•Neural network releases prior Gaussian assumption and shortens the burn-in period…”
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Estimation of Ground Vibration Intensity Induced by Mine Blasting using a State-of-the-Art Hybrid Autoencoder Neural Network and Support Vector Regression Model Autor Ke, Bo, Nguyen, Hoang, Bui, Xuan-Nam, Costache, Romulus

“… In this research, a novel intelligent model was proposed to predict GVI based on the hybridization of autoencoder neural networks (AutoencoderNN…”
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A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network Autor Wang, Lei, You, Zhu-Hong, Chen, Xing, Xia, Shi-Xiong, Liu, Feng, Yan, Xin, Zhou, Yong, Song, Ke-Jian

“… In this article, we propose a new computational method for predicting DTIs from drug molecular structure and protein sequence by using the stacked autoencoder of deep learning, which can adequately…”
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Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders Autor Liu, Han, Zhou, Jianzhong, Zheng, Yang, Jiang, Wei, Zhang, Yuncheng

“… Recurrent Neural Networks (RNN) is a type of artificial neural network which can deal with multiple time sequence data…”
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CAD-Skin: A Hybrid Convolutional Neural Network–Autoencoder Framework for Precise Detection and Classification of Skin Lesions and Cancer Autor Khan, Abdullah, Sajid, Muhammad Zaheer, Khan, Nauman Ali, Youssef, Ayman, Abbas, Qaisar

“… neural networks and autoencoders to improve the classification efficiency of skin cancer…”
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Abnormal Network Traffic Detection Method Combining Mahalanobis Distance and Autoencoder Autor LI Beibei, PENG Li, DAI Feifei

“… distribution.To address the problem, a method combining Mahalanobis distance and autoencoder is proposed to detect abnormal network…”
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Geostatistical Inversion for Subsurface Characterization Using Stein Variational Gradient Descent With Autoencoder Neural Network: An Application to Geologic Carbon Sequestration Autor Liu, Mingliang, Grana, Dario, Mukerji, Tapan

“…) neural network for re‐parameterizing reservoir models, aiming to accurately preserve geologic characteristics of reservoir models derived from prior knowledge…”
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Predicting protein-protein interactions from protein sequences by a stacked sparse autoencoder deep neural network Autor Wang, Yan-Bin, You, Zhu-Hong, Li, Xiao, Jiang, Tong-Hai, Chen, Xing, Zhou, Xi, Wang, Lei

“…). Then, these extracted features were reconstructed using the stacked autoencoder. Finally, a novel…”
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Calibrating Network Traffic with One-Dimensional Convolutional Neural Network with Autoencoder and Independent Recurrent Neural Network for Mobile Malware Detection Autor Wei, Songjie, Zhang, Zedong, Li, Shasha, Jiang, Pengfei

“… behavior modeling method based on one-dimensional convolutional neural network with autoencoder and independent recurrent neural network (1DCAE-IndRNN…”
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Hyperspectral Unmixing Using a Neural Network Autoencoder Autor Palsson, Burkni, Sigurdsson, Jakob, Sveinsson, Johannes R., Ulfarsson, Magnus O.

“…In this paper, we present a deep learning based method for blind hyperspectral unmixing in the form of a neural network autoencoder…”
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Improved DDoS Detection Utilizing Deep Neural Networks and Feedforward Neural Networks as Autoencoder Autor Yaser, Ahmed Latif, Mousa, Hamdy M., Hussein, Mahmoud

“…Software-defined networking (SDN) is an innovative network paradigm, offering substantial control of network operation through a network’s architecture…”
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EXTENDING THE LEE–CARTER MODEL WITH VARIATIONAL AUTOENCODER: A FUSION OF NEURAL NETWORK AND BAYESIAN APPROACH Autor Miyata, Akihiro, Matsuyama, Naoki

“…In this study, we propose a nonlinear Bayesian extension of the Lee–Carter (LC) model using a single-stage procedure with a dimensionality reduction neural network (NN…”
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