Výsledky vyhledávání - stacked denoising autoencoder model*

Accurate estimation of state of charge and state of health of electric vehicle power batteries based on dynamic channel pruning informer-stacked denoising autoencoder model Autor Peng, Ziran, Wang, Shunhao, Zhang, Shengchun, Meng, Shuangwu

“… Many estimation methods overlook the necessity of data cleaning; therefore, this paper proposes stacked denoising autoencoder…”
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Prediction of psychophysiological perception of driver in road tunnel using particle swarm optimization improved stacked denoising autoencoder model Autor Qin, Can, Liang, Bo, Niu, Jia'an, Xiao, Jinghang, Zhu, Shuangkai, Long, Haonan

“…Technical limitations of test equipment, changes in test environment, and jerks of test vehicles under the lighting environment of highway tunnels can lead to…”
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Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification Autor Vaiyapuri, Thavavel, Alaskar, Haya, Syed, Liyakathunisa, Aljohani, Eman, Alkhayyat, Ahmed, Shankar, K., Kumar, Sachin

“…•Propose modified firefly optimization algorithm for hyperparameter tuning.•Validate the performance of proposed model on Herlev database…”
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The pre-trained explainable deep learning model with stacked denoising autoencoders for slope stability analysis Autor Lin, Shan, Dong, Miao, Cao, Xitailang, Liang, Zenglong, Guo, Hongwei, Zheng, Hong

“… In this work, we proposed a deeply-integrated explainable pre-trained deep learning framework with stacked denoising autoencoders in the assessment of slope stability…”
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Identification of Cancer Mediating Biomarkers using Stacked Denoising Autoencoder Model - An Application on Human Lung Data Autor Sheet, Sougata, Ghosh, Anupam, Ghosh, Ranjan, Chakrabarti, Amlan

“…In this work, we form stacked denoising auto encoder model which is recognized few feasible genes mediating human lung adenocarcinoma…”
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A stacked convolutional sparse denoising autoencoder model for underwater heterogeneous information data Autor Wang, Xingmei, Zhao, Yixu, Teng, Xuyang, Sun, Weiqi

“…•A novel stacked convolutional sparse denoising autoencoder (SCSDA) model is proposed.•The unrelated dataset was developed to simulate the underwater heterogeneous information data as the training set…”
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Traceability and analysis method for measurement laboratory testing data based on intelligent Internet of Things and deep belief network Autor He, PeiDong, Li, XiaoJun, Shen, WenQi, Deng, ShuYu, Xiao, Li, Zhang, Yang Fan

“… the anomaly detection data of the metrology device. Finally, a stacked denoising autoencoder model…”
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Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and Gath–Geva clustering algorithm without principal component analysis and data label Autor Xu, Fan, Tse, Wai tai Peter, Tse, Yiu Lun

“…Most deep learning models such as stacked autoencoder (SAE) and stacked denoising autoencoder (SDAE…”
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Stacked Denoising Variational Auto Encoder Model for Extractive Web Text Summarization Autor Yadav, Madhuri, Katarya, Rahul

“… of a lot of storage and time. To solve this issue, the continuous bag of words text vectorization model has been used that reduce the processing time by producing a distributed combination of words in vector arrangement…”
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CLPM: A Cooperative Link Prediction Model for Industrial Internet of Things Using Partitioned Stacked Denoising Autoencoder Autor Rui, Lanlan, Zhu, Yu, Gao, Zhipeng, Qiu, Xuesong

“…) using a stacked denoising autoencoder (SDAE) to predict links of the IIoT-based MDs at the next moment through historical link information…”
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Automated feature learning for nonlinear process monitoring – An approach using stacked denoising autoencoder and k-nearest neighbor rule Autor Zhang, Zehan, Jiang, Teng, Li, Shuanghong, Yang, Yupu

“…•Automated feature learning based on stacked denoising autoencoder (SDAE) and k-nearest neighbor rule (kNN…”
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A deep learning ensemble approach for crude oil price forecasting Autor Zhao, Yang, Li, Jianping, Yu, Lean

“… One is an advanced deep neural network model named stacked denoising autoencoders (SDAE) which is used to model the nonlinear and complex relationships of oil price with its factors…”
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Learning social representations with deep autoencoder for recommender system Autor Pan, Yiteng, He, Fazhi, Yu, Haiping

“…, high-level signal of social information. In this paper, we propose a deep autoencoder model to learn social representations for recommender system…”
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Self-paced stacked denoising autoencoders based on differential evolution for change detection Autor Li, Hao, Gong, Maoguo, Wang, Congcong, Miao, Qiguang

“…•We put forward a self-paced stacked denoising autoencoders model for change detection in radar images…”
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Anomaly detection for wind turbines based on the reconstruction of condition parameters using stacked denoising autoencoders Autor Chen, Junsheng, Li, Jian, Chen, Weigen, Wang, Youyuan, Jiang, Tianyan

“… Firstly, the stacked denoising autoencoders (SDAE) model with moving window and multiple noise levels is developed to reconstruct the normal operating data…”
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An ensemble deep learning model for exhaust emissions prediction of heavy oil-fired boiler combustion Autor Han, Zhezhe, Li, Jian, Hossain, Md. Moinul, Qi, Qi, Zhang, Biao, Xu, Chuanlong

“… This study proposes a novel ensemble deep learning model for exhaust emissions (NOx and CO2) prediction. In this ensemble learning model, the stacked denoising autoencoder is established to extract the deep features of flame images…”
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Denoising stacked autoencoders for transient electromagnetic signal denoising Autor Lin, Fanqiang, Chen, Kecheng, Wang, Xuben, Cao, Hui, Chen, Danlei, Chen, Fanzeng

“… of the characteristics of the SFS to denoise the SFS. We introduce the SFSDSA (secondary field signal denoising stacked autoencoders…”
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A Multimodal Approach for Identifying Autism Spectrum Disorders in Children Autor Han, Junxia, Jiang, Guoqian, Ouyang, Gaoxiang, Li, Xiaoli

“… in children with fusion of electroencephalogram (EEG) and eye-tracking (ET) data. Specifically, we designed a two-step multimodal feature learning and fusion model based on a typical deep learning algorithm, stacked denoising autoencoder (SDAE…”
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Stacked pruning sparse denoising autoencoder based intelligent fault diagnosis of rolling bearings Autor Zhu, Haiping, Cheng, Jiaxin, Zhang, Cong, Wu, Jun, Shao, Xinyu

“…This paper proposes a new stacked pruning sparse denoising autoencoder (sPSDAE) model for intelligent fault diagnosis of rolling bearings…”
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PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions Autor Zhou, Haoran, Wekesa, Jael Sanyanda, Luan, Yushi, Meng, Jun

“… Results In this study, we propose an ensemble deep learning model to predict plant lncRNA-protein interactions using stacked denoising autoencoder and convolutional neural network based on sequence…”
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