Výsledky vyhledávání - "stack autoencoder"

Electricity theft detection based on stacked sparse denoising autoencoder Autor Huang, Yifan, Xu, Qifeng

“…Inspired by the powerful feature extraction and the data reconstruction ability of autoencoder, a stacked sparse denoising autoencoder is developed for…”
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SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG Autor Xing, Xiaofen, Li, Zhenqi, Xu, Tianyuan, Shu, Lin, Hu, Bin, Xu, Xiangmin

“…EEG-based automatic emotion recognition can help brain-inspired robots in improving their interactions with humans. This paper presents a novel framework for…”
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Damage characterization using CNN and SAE of broadband Lamb waves Autor Gao, Fei, Hua, Jiadong

“…•Deep learning based on broadband Lamb waves is proposed for SHM and NDT.•Damage localization and quantification are achieved in proposed method.•High-accuracy…”
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Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis Autor Liu, Zhao-Hua, Lu, Bi-Liang, Wei, Hua-Liang, Chen, Lei, Li, Xiao-Hua, Ratsch, Matthias

“…Fault diagnosis of rolling bearings is an essential process for improving the reliability and safety of the rotating machinery. It is always a major challenge…”
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Robust broad learning system with parametrized variational mode decomposition for schizophrenia diagnosis Autor Parija, Sebamai, Sahani, Mrutyunjaya, Rout, Susanta Kumar

“…Schizophrenia (SZ) is a significant mental disorder characterized by various neurophysiological and cognitive impairments. Early diagnosis remains challenging…”
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Precise single step and multistep short-term photovoltaic parameters forecasting based on reduced deep convolutional stack autoencoder and minimum variance multikernel random vector functional network Autor Sahani, Mrutyunjaya, Choudhury, Sasmita, Siddique, Marif Daula, Parida, Tanmoy, Dash, Pradipta Kishore, Panda, Sanjib Kumar

“…Accurate prediction of photovoltaic (PV) power can significantly alleviate energy crises. However, the inherent randomness and intermittency of PV power pose…”
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Real-Time Forecasting of Subsurface Inclusion Defects for Continuous Casting Slabs: A Data-Driven Comparative Study Autor Wei, Chihang, Song, Zhihuan

“…Subsurface inclusions are one of the most common defects that affect the inner quality of continuous casting slabs. This increases the defects in the final…”
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Short-Term Streamflow Forecasting Using the Feature-Enhanced Regression Model Autor Bai, Yun, Bezak, Nejc, Sapač, Klaudija, Klun, Mateja, Zhang, Jin

“…Reservoir inflow forecasting is extremely important for the management of a reservoir. In practice, accurate forecasting depends on the feature learning…”
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Research on the practical strategy of ideological and political education in colleges and universities based on thinking operation model Autor Lv, Jie, Chen, Liu

“…This paper focuses on the correlation analysis of the thinking operation model, learning motivation, and ideological and political education practices…”
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Classification method for imbalanced LiDAR point cloud based on stack autoencoder Autor Ren, Peng, Xia, Qunli

“…The existing classification methods of LiDAR point cloud are almost based on the assumption that each class is balanced, without considering the imbalanced…”
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Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals Autor Sahani, Mrutyunjaya, Rout, Susanta Kumar, Dash, Pradipta Kishor

“…In this paper, reduced deep convolutional stack autoencoder (RDCSAE) and improved kernel random vector functional link network (IKRVFLN) are combined to…”
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Anomaly detection of industrial multi-sensor signals based on enhanced spatiotemporal features Autor Jiang, Lin, Xu, Hang, Liu, Jinhai, Shen, Xiangkai, Lu, Senxiang, Shi, Zhan

“…To improve the validity of industrial multi-sensor signals, anomaly detection has become a significant part of industrial signal processing. In practical…”
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Damage assessments of composite under the environment with strong noise based on synchrosqueezing wavelet transform and stack autoencoder algorithm Autor Su, Chenhui, Jiang, Mingshun, Liang, Jianying, Tian, Aiqin, Sun, Lin, Zhang, Lei, Zhang, Faye, Sui, Qingmei

“…•Based on the synchrosqueezing wavelet transform, the strong noise of Lamb wave can be filtered out.•Based on SAE algorithm, damage location and quantitative…”
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An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP‐Based DRDoS Attack Detection Autor Sreenivasulu, V., Ravikumar, C. V.

“…Over the past decades, Session Initiation Protocol (SIP) has been commonly utilized in signaling protocol to control and signal multimedia communication…”
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Incorporating Heterogeneous Features into the Random Subspace Method for Bearing Fault Diagnosis Autor Chu, Yan, Ali, Syed Muhammad, Lu, Mingfeng, Zhang, Yanan

“…In bearing fault diagnosis, machine learning methods have been proven effective on the basis of the heterogeneous features extracted from multiple domains,…”
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Vehicle type classification using graph ant colony optimizer based stack autoencoder model Autor Rani, B. Kavitha, Rao, M. Varaprasad, Patra, Raj Kumar, Srinivas, K., Madhukar, G.

“…In the intelligent transport system, vehicle type classification technology plays a major role. With the growth of video processing and pattern recognition…”
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Indian classical musical instrument classification using Timbral features Autor Gulhane, Sushen Rameshpant, Shirbahadurkar, Suresh Damodar, Badhe, Sanjay Shrikrushna

“…Summary Musical instrument classification becomes effective when the music signal arrives with profound characteristics. This urged the researchers to develop…”
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Application of deep stack autoencoder network in ship weight estimation Autor CHEN Jian,TANG Junyao,ZHU Shengguang,ZHOU Zhaozhao

“…Aiming at the problems of large error and high cost of most traditional ship weight estimation methods,an algorithm based on deep learning is proposed.It…”
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A Hybrid Forecasting System Based on Comprehensive Feature Selection and Intelligent Optimization for Stock Price Index Forecasting Autor He, Xuecheng, Wang, Jujie

“…Accurate forecasts of stock indexes can not only provide reference information for investors to formulate relevant strategies but also provide effective…”
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Roundness and positioning deviation prediction in single point incremental forming using deep learning approaches Autor Akrichi, Sofien, Abbassi, Amira, Abid, Sabeur, Ben yahia, Noureddine

“…This article proposes a deep learning technique for the prevision of the geometric accuracy in single point incremental forming. Moreover, predicting geometric…”
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