Výsledky vyhľadávania - deep-denoising autoencoder~

Deep denoising autoencoder-assisted continuous scoring of peak quality in high-resolution LC−MS data Autor Ji, Hongchao, Tian, Jing

“… Here we put forward AutoMS, which employs a deep learning-based denoising autoencoder to grasp the common characteristics of chromatographic peaks, and predict noise-deducted peaks from the original peak profiles…”
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Predicting protein–protein interactions in microbes associated with cardiovascular diseases using deep denoising autoencoders and evolutionary information Autor Zhou, Senyu, Luo, Jian, Tang, Mei, Li, Chaojun, Li, Yang, He, Wenhua

“… In this study, we present a novel model, the deep denoising autoencoder for protein-protein interaction (DAEPPI…”
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Whispered speech recognition using deep denoising autoencoder Autor Grozdić, Đorđe T., Jovičić, Slobodan T., Subotić, Miško

“…Recently Deep Denoising Autoencoders (DDAE) have shown state-of-the-art performance on various machine learning tasks…”
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Convolutional deep denoising autoencoders for radio astronomical images Autor Gheller, C, Vazza, F

“…ABSTRACT We apply a Machine Learning technique known as Convolutional Denoising Autoencoder to denoise synthetic images of state-of-the-art radio telescopes, with the goal of detecting the faint…”
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A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation Autor Lai, Ying-Hui, Chen, Fei, Wang, Syu-Siang, Lu, Xugang, Tsao, Yu, Lee, Chin-Hui

“… Identifying an effective NR approach has long been a key topic in CI research. Method: Recently, a deep denoising autoencoder (DDAE…”
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Bone-conducted speech enhancement using deep denoising autoencoder Autor Liu, Hung-Ping, Tsao, Yu, Fuh, Chiou-Shann

“…Bone-conduction microphones (BCMs) capture speech signals based on the vibrations of the speaker's skull and exhibit better noise-resistance capabilities than…”
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A Pythagorean-Type Fuzzy Deep Denoising Autoencoder for Industrial Accident Early Warning Autor Zheng, Yu-Jun, Chen, Sheng-Yong, Xue, Yu, Xue, Jin-Yun

“… This paper presents a fuzzy deep neural network for early warning of industrial accidents, which equips the classical deep denoising autoencoder (DDAE…”
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Enhancing Sound-Based Anomaly Detection Using Deep Denoising Autoencoder Autor Kim, Seong-Mok, Soo Kim, Yong

“… This study proposes a method that uses a deep denoising autoencoder to filter out various levels of industrial noise from audio data and employs unsupervised learning models for rapid and accurate anomaly detection…”
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Dynamic dispatching system using a deep denoising autoencoder for semiconductor manufacturing Autor Lee, Sangmin, Kim, Hae Joong, Kim, Seoung Bum

“…Deep denoising autoencoders (DDAE), which are variants of the autoencoder, have shown outstanding performance in various machine learning tasks…”
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Whispered Speech Recognition Using Deep Denoising Autoencoder and Inverse Filtering Autor Grozdic, Dorde T., Jovicic, Slobodan T.

“…, addresses the problems of whispered speech recognition in mismatched conditions, and then proposes a new robust cepstral features and preprocessing approach based on deep denoising autoencoder (DDAE…”
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A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection Autor Scarpiniti, Michele, Sarv Ahrabi, Sima, Baccarelli, Enzo, Piazzo, Lorenzo, Momenzadeh, Alireza

“…Chest imaging can represent a powerful tool for detecting the Coronavirus disease 2019 (COVID-19). Among the available technologies, the chest Computed…”
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Random noise attenuation of ocean bottom seismometers based on a substep deep denoising autoencoder Autor Lin, Haoran, Xu, Jian, Xing, Lei, Li, Qianqian, Liu, Huaishan

“…‐layer denoising autoencoder. We input the t−x$t-x$ domain data into the denoising autoencoder, the encoder compresses the signal and noise and extracts the main…”
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DDANF: Deep denoising autoencoder normalizing flow for unsupervised multivariate time series anomaly detection Autor Zhao, Xigang, Liu, Peng, Mahmoudi, Saïd, Garg, Sahil, Kaddoum, Georges, Hassan, Mohammad Mehedi

“…In recent years, the proliferation of IoT technologies and the widespread adoption of wireless sensors across various critical infrastructures such as power…”
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Stealthy data integrity attack identification in smart grid networks utilizing deep denoising autoencoder Autor Kousar, Anila, Ahmed, Saeed, Altamimi, Abdullah, Kim, Su Min, Khan, Zafar A.

“… To this end, this paper proposes a deep denoising autoencoder (DAE)-based framework for dimensionality…”
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Environmental Noise Reduction based on Deep Denoising Autoencoder Autor Azmat, A., Ali, I., Ariyanti, W., Putra, M. G. L., Nadeem, T.

“… To cope with this challenge, an explicit denoising framework called Deep Denoising Autoencoder (DDAE…”
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Speech Enhancement for Hearing Impaired Based on Bandpass Filters and a Compound Deep Denoising Autoencoder Autor AL-Taai, Raghad Yaseen Lazim, Wu, Xiaojun

“…) multiple deep denoising autoencoder networks, with each working for a small specific enhancement task and learning to handle a subset of the whole…”
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Mitigating the Impacts of Covert Cyber Attacks in Smart Grids Via Reconstruction of Measurement Data Utilizing Deep Denoising Autoencoders Autor Ahmed, Saeed, Lee, YoungDoo, Hyun, Seung-Ho, Koo, Insoo

“…As one of the most diversified cyber-physical systems, the smart grid has become more decumbent to cyber vulnerabilities. An intelligently crafted, covert,…”
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DDSA: A Defense Against Adversarial Attacks Using Deep Denoising Sparse Autoencoder Autor Bakhti, Yassine, Fezza, Sid Ahmed, Hamidouche, Wassim, Deforges, Olivier

“… In this paper, we propose a novel defense solution based on a Deep Denoising Sparse Autoencoder (DDSA…”
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Evaluation Algorithm of Teaching Work Quality in Colleges and Universities Based on Deep Denoising Autoencoder Network Autor Liu, Yu

“… A novel combination of deep denoising autoencoder and support vector machine was proposed…”
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Robust feature extraction and uncertainty estimation based on attractor dynamics in cyclic deep denoising autoencoders Autor Hadjahmadi, Amir Hossein, Homayounpour, Mohammad Mehdi

“…Because the input and the output values of the deep denoising autoencoders (DDAs) have the same representation space, the output values of a DDA can be used as its input values, which leads to a repeatable cycle for DDA…”
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