Search Results - "Deep denoising autoencoder"

Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning by Kang, Gaoqiang, Gao, Shibin, Yu, Long, Zhang, Dongkai

“…The insulator is an important catenary component that maintains the insulation between the catenary and earth. Due to the long-term impact of railway vehicles…”
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An online learning framework for aero-engine sensor fault detection isolation and recovery by Wang, Kun, He, Ai, Liu, Jiashuai, Zhou, Qifan, Hu, Zhongzhi

“…Accurate and reliable sensor data are critical for the safe operation of modern aero-engine control systems. However, maintaining the accuracy and robustness…”
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A Deep Denoising Autoencoder Approach to Improving the Intelligibility of Vocoded Speech in Cochlear Implant Simulation by Lai, Ying-Hui, Chen, Fei, Wang, Syu-Siang, Lu, Xugang, Tsao, Yu, Lee, Chin-Hui

“…Objective: In a cochlear implant (CI) speech processor, noise reduction (NR) is a critical component for enabling CI users to attain improved speech perception…”
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A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection by 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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An evolutionary deep neural network for predicting morbidity of gastrointestinal infections by food contamination by Song, Qin, Zheng, Yu-Jun, Xue, Yu, Sheng, Wei-Guo, Zhao, Mei-Rong

“…A majority of gastrointestinal infectious diseases are caused by food contamination, and prediction of morbidity can be very useful for etiological factor…”
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Deep Learning-Based Noise Reduction Approach to Improve Speech Intelligibility for Cochlear Implant Recipients by Lai, Ying-Hui, Tsao, Yu, Lu, Xugang, Chen, Fei, Su, Yu-Ting, Chen, Kuang-Chao, Chen, Yu-Hsuan, Chen, Li-Ching, Po-Hung Li, Lieber, Lee, Chin-Hui

“…We investigate the clinical effectiveness of a novel deep learning-based noise reduction (NR) approach under noisy conditions with challenging noise types at…”
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A Pythagorean-Type Fuzzy Deep Denoising Autoencoder for Industrial Accident Early Warning by Zheng, Yu-Jun, Chen, Sheng-Yong, Xue, Yu, Xue, Jin-Yun

“…Early warning is crucial for preventing industrial accidents and mitigating damage, but current methods are often time-consuming, error-prone, and incompetent…”
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Predicting protein–protein interactions in microbes associated with cardiovascular diseases using deep denoising autoencoders and evolutionary information by Zhou, Senyu, Luo, Jian, Tang, Mei, Li, Chaojun, Li, Yang, He, Wenhua

“…Protein-protein interactions (PPIs) are critical for understanding the molecular mechanisms underlying various biological processes, particularly in microbes…”
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Dynamic dispatching system using a deep denoising autoencoder for semiconductor manufacturing by 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. In this study,…”
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CNN-LSTM-AM approach for outdoor wireless optical communication systems by Abdelsattar, Montaser, Amer, Eman S., Ziedan, Hamdy A., Salama, Wessam M.

“…This paper introduces the enhancement of Visible Light Communications (VLC) for V2V using artificial intelligence models. Different V2V scenarios are…”
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Whispered speech recognition using deep denoising autoencoder by 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. In this paper, the authors extended this…”
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Multi-objective learning based speech enhancement method to increase speech quality and intelligibility for hearing aid device users by Lai, Ying-Hui, Zheng, Wei-Zhong

“…Background noise is a critical issue for hearing aid device users; a common solution to address this problem is speech enhancement (SE). In recent times, a…”
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Bone-conducted speech enhancement using deep denoising autoencoder by 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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Calibration-Free 3D Indoor Positioning Algorithms Based on DNN and DIFF by Yang, Jingmin, Deng, Shanghui, Xu, Li, Zhang, Wenjie

“…The heterogeneity of wireless receiving devices, co-channel interference, and multi-path effect make the received signal strength indication (RSSI) of Wi-Fi…”
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Stealthy data integrity attack identification in smart grid networks utilizing deep denoising autoencoder by Kousar, Anila, Ahmed, Saeed, Altamimi, Abdullah, Kim, Su Min, Khan, Zafar A.

“…Smart grids arose as the largest cyber-physical systems with the integration of sophisticated control, computing, and state-of-the-art communications. Like all…”
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Intelligent back-to-back testing with denoising autoencoder-based fault detection and DBSCAN clustering by Abboush, Mohammad, Knieke, Christoph, Rausch, Andreas

“…Back-to-back (B2B) test has been introduced as a pivotal method for ensuring equivalence between model-level and implementation-level behaviour during the…”
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A Deep Learning Approach for Real-Time Intrusion Mitigation in Automotive Controller Area Networks by Kousar, Anila, Ahmed, Saeed, Khan, Zafar A.

“…The digital revolution has profoundly influenced the automotive industry, shifting the paradigm from conventional vehicles to smart cars (SCs). The SCs rely on…”
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Whispered Speech Recognition Using Deep Denoising Autoencoder and Inverse Filtering by Grozdic, Dorde T., Jovicic, Slobodan T.

“…Due to the profound differences between acoustic characteristics of neutral and whispered speech, the performance of traditional automatic speech recognition…”
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Bidirectional self-Attention Gated Recurrent Unit for Health Index Prediction of Rolling Bearings by Li, Jingwei, Li, Sai, Ding, Zhixia, Zheng, Aiai, Ye, Xuan

“…In rotating mechanical equipment, rolling bearings are commonly used mechanical components, the failure of which can lead to serious accidents and significant…”
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Self-Supervised Denoising Autoencoder with Linear Regression Decoder for Speech Enhancement by Zezario, Ryandhimas E., Hussain, Tassadaq, Lu, Xugang, Wang, Hsin-Min, Tsao, Yu

“…Nonlinear spectral mapping-based models based on supervised learning have successfully applied for speech enhancement. However, as supervised learning…”
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