Výsledky vyhledávání - Cascade stacked autoencoder

Cascade stacked autoencoder neural network for intrusion detection in CAN-FD vehicular network Autor Devi, V. Anjana, Reddy, P.V. Bhaskar, Ponnada, Sreenu, Kumar, K. Suresh

“…In this work, an Intrusion Detection System (IDS) for Controller Area Network with Flexible Data Rate (CAN-FD) Vehicle Networks based on hybrid Deep Learning…”
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Prediction of miRNA–Disease Associations by Cascade Forest Model Based on Stacked Autoencoder Autor Hu, Xiang, Yin, Zhixiang, Zeng, Zhiliang, Peng, Yu

“… Then, the stacked autoencoder is applied for obtaining the underlying feature representation. Finally, the modified cascade forest model is employed to complete…”
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Multi-label classification using a cascade of stacked autoencoder and extreme learning machines Autor Law, Anwesha, Ghosh, Ashish

“…•Three phase cascade of neural networks for multi-label classification.•Network model includes stacked autoencoders and extreme learning machines…”
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Adaptive cascade enhancement broad learning system combined with stacked correlation information autoencoder for soft sensor modeling of industrial process Autor Ni, Mingming, Li, Shaojun

“… To solve these problems, an adaptive cascade enhancement broad learning system combined with stacked correlation information autoencoder, referred to as SCIAE-ACEBLS, is proposed in this study…”
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Sparse stacked autoencoder network for complex system monitoring with industrial applications Autor Deng, Ziwei, Li, Yuxuan, Zhu, Hongqiu, Huang, Keke, Tang, Zhaohui, Wang, Zhen

“…•A fault classification and isolation method based on SAE is proposed for complex system.•Deep learning model formed by AE with sparse and regular constraints…”
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CDAE: A Cascade of Denoising Autoencoders for Noise Reduction in the Clustering of Single-Particle Cryo-EM Images Autor Lei, Houchao, Yang, Yang

“… In this study, we design an effective cryo-EM image denoising model, CDAE, i.e., a cascade of denoising autoencoders…”
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Novel PV Fault Diagnoses via SAE and Improved Multi-Grained Cascade Forest With String Voltage and Currents Measures Autor Gao, Wei, Wai, Rong-Jong, Chen, Shi-Qun

“…The precision of conventional PV fault diagnostic methods faces challenges due to the nonlinear output power characteristics of photovoltaic (PV) arrays and…”
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Inter-subject cognitive workload estimation based on a cascade ensemble of multilayer autoencoders Autor Zheng, Zhanpeng, Yin, Zhong, Wang, Yongxiong, Zhang, Jianhua

“…•Approach of cascade ensemble of multilayer autoencoders is proposed. Machine learning approaches can build a computational model to predict cognitive workload levels by using electroencephalogram (EEG…”
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Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes Autor Yuan, Xiaofeng, Feng, Lu, Wang, Kai, Wang, Yalin, Ye, Lingjian

“… To handle this problem, a novel DL strategy based on multirate stacked autoencoder (MR-SAE) is proposed. In MR-SAE, the network is composed of two parts…”
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Embedding of FDA Approved Drugs in Chemical Space Using Cascade Autoencoder with Metric Learning Autor Kim, Jungwoo, Lim, Sangsoo, Lee, Sangseon, Cho, Changyun, Kim, Sun

“…Deep learning methods have been successfully used to predict characteristics of small molecules such as physicochemical properties and biological properties…”
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Stacked encoded cascade error feedback deep extreme learning machine network for manufacturing order completion time Autor Khan, Waqar Ahmed, Masoud, Mahmoud, Eltoukhy, Abdelrahman E. E., Ullah, Mehran

“…In this paper, a novel stacked encoded cascade error feedback deep extreme learning machine (SEC-E-DELM…”
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Network intrusion detection based on Contractive Sparse Stacked Denoising Autoencoder Autor Lu, Jizhao, Meng, Huiping, Li, Wencui, Liu, Yue, Guo, Yihao, Yang, Yang

“…), which cascades multiple traditional Autoencoders, and introduces noise, sparse constraint and contractive penalty term on this basis, so as to improve the robustness of the model, enhance decoding…”
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Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization Autor Esmaeiloghli, Saeid, Tabatabaei, Seyed Hassan, Carranza, Emmanuel John M.

“…In recent years, deep autoencoder networks (DANs) have shown enormous potential to achieve state-of-the-art performance for recognizing multi-element geochemical anomalies related to mineralization…”
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A Pipeline Defect Inversion Method With Erratic MFL Signals Based on Cascading Abstract Features Autor Zhang, Huaguang, Wang, Lei, Wang, Jianfeng, Zuo, Fengyuan, Wang, Jifeng, Liu, Jinhai

“… problems effectively under complicated conditions. First, an adaptive abstract defect feature extraction network with stacked multipath denoising sparse autoencoder (sMPDS-AE…”
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Deep Cascade Gradient RBF Networks With Output-Relevant Feature Extraction and Adaptation for Nonlinear and Nonstationary Processes Autor Liu, Tong, Tian, Zeyue, Chen, Sheng, Wang, Kai, Harris, Chris J.

“… Although deep networks, such as the stacked autoencoder (SAE), can learn useful features from massive data with multilevel architecture, it is difficult to adapt them online to track fast time-varying process dynamics…”
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CSO-CNN: circulatory system optimization-based cascade region CNN for fault estimation and driver behavior detection Autor Priyadharshini, G., Ukrit, M. Ferni

“… Taking these into consideration his paper proposes a novel cascade region convolutional neural network-based circulatory system optimization algorithm (CRCNN++ based CSO…”
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A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data Autor Xu, Jing, Wu, Peng, Chen, Yuehui, Meng, Qingfang, Dawood, Hussain, Dawood, Hassan

“… Stacked autoencoder (SAE) is used to learn high-level representations in each omics data, then the complex representations are learned by integrating…”
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Cascade neural network-based joint sampling and reconstruction for image compressed sensing Autor Zeng, Chunyan, Ye, Jiaxiang, Wang, Zhifeng, Zhao, Nan, Wu, Minghu

“… In the reconstruction sub-network, a cascade network combining stacked denoising…”
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Target Detection in Clutter/Interference Regions Based on Deep Feature Fusion for HFSWR Autor Wu, Maokai, Zhang, Ling, Niu, Jiong, Wu, Q. M. Jonathan

“… to identify and locate clutter and interference regions in the range Doppler spectrum; in the target detection stage, a two-level cascade algorithm is proposed…”
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Face Recognition Based on Stacked Convolutional Autoencoder and Sparse Representation Autor Chang, Liping, Yang, Jianjun, Li, Sheng, Xu, Hong, Liu, Kai, Huang, Chaogeng

“… To solve this problem, a stacked convolutional autoencoder (SCAE) based on deep learning theory is used to extract deeper features…”
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