Výsledky vyhledávání - "sparse autoencoder networks"

Stacked sparse autoencoder networks and statistical shape models for automatic staging of distal femur trochlear dysplasia Autor Cerveri, Pietro, Belfatto, Antonella, Baroni, Guido, Manzotti, Alfonso

“…Background The quantitative morphological analysis of the trochlear region in the distal femur and the precise staging of the potential dysplastic condition…”
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EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing Autor Ozkan, Savas, Kaya, Berk, Akar, Gozde Bozdagi

“…Data acquired from multichannel sensors are a highly valuable asset to interpret the environment for a variety of remote sensing applications. However, low…”
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Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction Autor Chen, Luefeng, Zhou, Mengtian, Su, Wanjuan, Wu, Min, She, Jinhua, Hirota, Kaoru

“… However, DNN suffers from problems of learning efficiency and computational complexity. To address these problems, deep sparse autoencoder network (DSAN…”
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Parameter identification for nonlinear Hammerstein models with stacked sparse autoencoder network Autor Li, Feng, Song, Liexin, Wang, Tianhu, Liu, Ranran

“…In this paper, a novel parameter identification method is addressed for Hammerstein nonlinear model with stacked sparse autoencoder (SSAE) network. The…”
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Self-Supervised Marine Noise Learning with Sparse Autoencoder Network for Generative Target Magnetic Anomaly Detection Autor Wang, Shigang, Zhang, Xiangyuan, Zhao, Yifan, Yu, Haozi, Li, Bin

“…As an effective physical field feature to perceive ferromagnetic targets, magnetic anomaly is widely used in covert marine surveillance tasks. However, its…”
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An industrial process fault diagnosis method based on independent slow feature analysis and stacked sparse autoencoder network Autor Li, Chang, Wen, Chenglin, Zhou, Zhe

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A deep learning based malicious module identification using stacked sparse autoencoder network for VLSI circuit reliability Autor Priyatharishini, M., Nirmala Devi, M.

“…•A deep learning- based hardware trojan identification method is proposed.•The data imbalance in VLSI circuits is addressed by using deep convolutional…”
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Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest Autor Yang, Na, Zhang, Zhenkai, Yang, Jianhua, Hong, Zenglin

“…-mineralization samples when they are utilized in mineralized-anomaly identification. This paper utilizes a convolutional sparse autoencoder network for realizing mineralized-anomaly identification…”
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IoT and cloud computing-based automated epileptic seizure detection using optimized Siamese convolutional sparse autoencoder network Autor Ramkumar, M., Jamaesha, S. Syed, Gowtham, M. S., Kumar, C. Santhosh

“… This research work introduces a Siamese Convolutional Fire Hawk Sparse Autoencoder Network (SCFHSAN ) to detect different states of the epileptic seizures…”
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Compressive Reconstruction Based on Sparse Autoencoder Network Prior for Single-Pixel Imaging Autor Zeng, Hong, Dong, Jiawei, Li, Qianxi, Chen, Weining, Dong, Sen, Guo, Huinan, Wang, Hao

“… the feature extraction and increase the burden of the system. In this paper, we propose a novel sparse autoencoder network prior for the reconstruction of the single-pixel…”
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Face Recognition Based on Deep Aggregated Sparse Autoencoder Network Autor Zou, Guofeng, Lin, Dingyi, Fu, Gui-Xia, Shen, Jin, Gao, Mingliang

“…Sparse autoencoder network is sensitive to face noise, and the learning process is easy to ignore the face structure information…”
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Application of Robust Zero-Watermarking Scheme Based on Federated Learning for Securing the Healthcare Data Autor Han, Baoru, Jhaveri, Rutvij H., Wang, Han, Qiao, Dawei, Du, Jinglong

“…The privacy protection and data security problems existing in the healthcare framework based on the Internet of Medical Things (IoMT) have always attracted…”
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SAE-Net: A Deep Neural Network for SAR Autofocus Autor Pu, Wei

“…, the sparse autoencoder network (SAE-Net). The proposed SAE-Net is designed to implement SAR imaging and autofocus simultaneously…”
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Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data Autor Zhang, Linjing, Shao, Zhenfeng, Liu, Jianchen, Cheng, Qimin

“…Estimation of forest aboveground biomass (AGB) is crucial for various technical and scientific applications, ranging from regional carbon and bioenergy…”
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Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-Ground Biomass Autor Shao, Zhenfeng, Zhang, Linjing, Wang, Lei

“…Timely, spatially complete, and reliable forest above-ground biomass (AGB) data are a prerequisite to support forest management and policy formulation…”
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Realistic simulation of virtual multi-scale, multi-modal patient trajectories using Bayesian networks and sparse auto-encoders Autor Sood, Meemansa, Sahay, Akrishta, Karki, Reagon, Emon, Mohammad Asif, Vrooman, Henri, Hofmann-Apitius, Martin, Fröhlich, Holger

“…Translational research of many disease areas requires a longitudinal understanding of disease development and progression across all biologically relevant…”
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Medical image classification via multiscale representation learning Autor Tang, Qiling, Liu, Yangyang, Liu, Haihua

“… The present work proposes a multiscale representation learning method via sparse autoencoder networks to capture the intrinsic scales in medical images for the classification task…”
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COLI: a synergy index for optical and LiDAR synergy estimation for aboveground biomass of urban trees Autor Bai, Linze, Hu, Bin, Wang, Ke

“…The estimation of aboveground biomass (AGB) of urban trees is crucial for exploring urban carbon cycling and sustainable development. Optical remote sensing is…”
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EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing Autor Ozkan, Savas, Kaya, Berk, Akar, Gozde Bozdagi

“…Data acquired from multi-channel sensors is a highly valuable asset to interpret the environment for a variety of remote sensing applications. However, low…”
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A high-precision feature extraction network of fatigue speech from air traffic controller radiotelephony based on improved deep learning Autor Shen, Zhiyuan, Wei, Yitao

“…Air traffic controller (ATC) fatigue is receiving considerable attention in recent studies because it represents a major cause of air traffic incidences…”
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