Suchergebnisse - "stacked convolutional autoencoder"

Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury von Lee, Seung-Bo, Kim, Hakseung, Kim, Young-Tak, Zeiler, Frederick A, Smielewski, Peter, Czosnyka, Marek, Kim, Dong-Joo

“… Monitoring intracranial and arterial blood pressure (ICP and ABP, respectively) provides crucial information regarding the neurological status of patients with …”
Weitere Angaben

FA-SconvAE-LSTM: Feature-Aligned Stacked Convolutional Autoencoder with Long Short-Term Memory Network for Soft Sensor Modeling von Wu, Ping, Miao, Zengdi, Wang, Ke, Gao, Jinfeng, Zhang, Xujie, Lou, Siwei, Yang, Chunjie

“… The advancement of soft sensor technology has enabled the real-time estimation of critical parameters in complex industrial processes, where direct measurement …”
Volltext

SCAE—Stacked Convolutional Autoencoder for Fault Diagnosis of a Hydraulic Piston Pump with Limited Data Samples von Eraliev, Oybek, Lee, Kwang-Hee, Lee, Chul-Hee

“… Deep learning (DL) models require enormous amounts of data to produce reliable diagnosis results. The superiority of DL models over traditional machine …”
Volltext

Unsupervised quantitative judgment of furnace combustion state with CBAM-SCAE-based flame feature extraction von Lv, You, Qi, Xinyu, Zheng, Xi, Fang, Fang, Liu, Jizhen

“… The furnace combustion state of coal-fired power plants is difficult to accurately monitor during low-load and dynamic operation conditions, thus hindering the …”
Volltext

Development of transparent high-frequency soft sensor of total nitrogen and total phosphorus concentrations in rivers using stacked convolutional auto-encoder and explainable AI von Ba-Alawi, Abdulrahman H., Heo, SungKu, Aamer, Hanaa, Chang, Roberto, Woo, TaeYong, Kim, MinHan, Yoo, ChangKyoo

“… Monitoring total nitrogen (TN) and total phosphorus (TP) concentrations in rivers is essential to assess the water quality and control the eutrophication risk …”
Volltext

A New SCAE-MT Classification Model for Hyperspectral Remote Sensing Images von Chen, Huayue, Chen, Ye, Wang, Qiuyue, Chen, Tao, Zhao, Huimin

“… Hyperspectral remote sensing images (HRSI) have the characteristics of foreign objects with the same spectrum. As it is difficult to label samples manually, …”
Volltext

Gait Recognition Method of Underground Coal Mine Personnel Based on Densely Connected Convolution Network and Stacked Convolutional Autoencoder von Liu, Xiaoyang, Liu, Jinqiang

“… Biological recognition methods often use biological characteristics such as the human face, iris, fingerprint, and palm print; however, such images often …”
Volltext

Improving diversity and quality of adversarial examples in adversarial transformation network von Nguyen, Duc-Anh, Minh, Kha Do, Le, Khoi Nguyen, Nguyen, Le-Minh, Hung, Pham Ngoc

“… This paper proposes PatternAttack to mitigate two major issues of Adversarial Transformation Network (ATN) including the low diversity and the low quality of …”
Volltext

基于双流神经网络的煤矿井下人员步态识别方法 von 刘晓阳, 刘金强, 郑昊琳

“… TP393; 人脸、指纹和虹膜等生物识别方法在井下复杂环境限制下常常比较模糊,导致基于这些生物特征的煤矿井下人员身份识别率不高.本文在残差神经网络和栈式卷积自动编码器的 …”
Volltext

Gait recognition method of coal mine personnel based on Two-Stream neural network von Liu Xiaoyang, Liu Jinqiang, Zheng Haolin

“… Biometric methods such as human faces, fingerprints, and irises are relatively mature, but the images of these biometric methods often become blurred under the …”
Volltext

A Load State Identification Method of Ball Milling Based on Particle Swarm Optimization and Stacked Convolutional Autoencoder von Sun, Kai, Zhang, Qiang, Lu, Cunrui, Zhang, Xiaoxu, Li, Haozhe

“… In order to solve the problem that the load of cement ball mill is difficult to judge, based on particle swarm optimization(PSO) algorithm, a stacked …”
Volltext

Stacked Convolutional Autoencoder (SCAE) for Breast Cancer Classification von Haryoko, Seniwati, Erni, Sasongko, Theopilus Bayu, Lukman, Achmad, Gunawan, Faris Abid

“… Breast cancer is still one of the deadliest diseases in the world, according to a WHO report. Early detection of tissue of breast cancer is needed in order to …”
Volltext

Improved Prediction on Heart Transplant Rejection Using Convolutional Autoencoder and Multiple Instance Learning on Whole-Slide Imaging von Zhu, Yuanda, Tong, Li, Deshpande, Shriprasad R., Wang, May D.

“… Heart transplant rejection is one major threat for the survival of patients with a heart transplant. Endomyocardial biopsies are effective in showing signs of …”
Volltext

Residual Unet for Urban Building Change Detection with Sentinel-1 SAR Data von Li, Lu, Wang, Chao, Zhang, Hong, Zhang, Bo

“… Urban building change detection is one of the most important parts of remote sensing applications. Researching change detection method based on deep learning …”
Volltext

Multi-Scale Fusion Maximum Entropy Subspace Clustering for Hyperspectral Band Selection von Ma, Haipeng, Wang, Yulei, Jiang, Liru, Song, Meiping, Yu, Chunyan, Zhao, Enyu

“… A novel multi-scale fusion maximum entropy subspace clustering (MFMESC) for hyperspectral image (HSI) band selection is proposed in this paper. Subspace …”
Volltext

Face Recognition Based on Stacked Convolutional Autoencoder and Sparse Representation von Chang, Liping, Yang, Jianjun, Li, Sheng, Xu, Hong, Liu, Kai, Huang, Chaogeng

“… Face recognition is one of the most challenging topics in the field of machine vision and pattern recognition, and has a wide range of applications. The face …”
Volltext

A robust diagnosis method specifically for similar faults in nuclear power plant multi-systems based on data segmentation and stacked convolutional autoencoders von Ai, Xin, Liu, Yongkuo, Shan, Longfei, Gao, Jiarong, Zhang, Wanzhou

“… •Propose KSCAE combining K-Means and stacked convolutional autoencoder for better similar fault diagnosis.•Apply K-Means for data segmentation, guided by the …”
Volltext

SAR Image Classification Using Greedy Hierarchical Learning With Unsupervised Stacked CAEs von Sun, Zhensheng, Li, Juan, Liu, Peng, Cao, Weijia, Yu, Tao, Gu, Xingfa

“… Synthetic aperture radar (SAR) can provide stable data source for earth observation due to its advantages of all day and night, all-weather, and strong …”
Volltext

Single channel audio source separation using convolutional denoising autoencoders von Grais, Emad M., Plumbley, Mark D.

“… Deep learning techniques have been used recently to tackle the audio source separation problem. In this work, we propose to use deep fully convolutional …”
Volltext

Emotion Recognition from Face Images in an Unconstrained Environment for usage on Social Robots von Webb, Nicola, Ruiz-Garcia, Ariel, Elshaw, Mark, Palade, Vasile

“… Deep neural networks have proven to be efficient systems for learning complex data representations. However, one of their main constraints is their inability …”
Volltext