Výsledky vyhledávání - "Stacked Sparse Autoencoder"

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

“… However, field data are limited in remote and unmanaged areas. In addition, optical reflectance usually saturates at high-density biomass level and is subject to cloud contaminations…”
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A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes Autor Li, Hailong, Parikh, Nehal A., He, Lili

“…Early diagnosis remains a significant challenge for many neurological disorders, especially for rare disorders where studying large cohorts is not possible. A…”
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Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework Autor He, Lili, Li, Hailong, Holland, Scott K., Yuan, Weihong, Altaye, Mekibib, Parikh, Nehal A.

“…Investigation of the brain's functional connectome can improve our understanding of how an individual brain's organizational changes influence cognitive…”
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An Optimized Hybrid Soil Texture Classification Model using Stacked Sparse Autoencoder Autor Prabavathi, R, Chelliah, Balika J

“… The dynamic subject of soil classification starts with the model and moves on to explain the classes and, at the end, apply the knowledge gained from the field…”
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A Novel Deep Learning Scheme for Motor Imagery EEG Decoding Based on Spatial Representation Fusion Autor Yang, Jun, Ma, Zhengmin, Wang, Jin, Fu, Yunfa

“…Motor imagery electroencephalography (MI-EEG), which is an important subfield of active brain-computer interface (BCI) systems, can be applied to help disabled…”
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Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model Autor Tang, Likun, Ma, Jie, Li, Yongming

“… To solve this problem, a health monitoring of movement disorder subject based on diamond stacked sparse autoencoder ensemble model (DsaeEM…”
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Deep Learning Based Lithology Classification Using Dual-Frequency Pol-SAR Data Autor Wang, Wenguang, Ren, Xin, Zhang, Yan, Li, Meng

“… satisfactory classification accuracy due to high similarity of certain classes. In this paper, a novel Pol-SAR lithology classification method based on a stacked sparse autoencoder (SSAE) is proposed…”
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Diagnosis of osteoporosis disease from bone X-ray images with stacked sparse autoencoder and SVM classifier Autor Nasser, Yassine, El Hassouni, Mohammed, Brahim, Abdelbasset, Toumi, Hechmi, Lespessailles, Eric, Jennane, Rachid

“…). However, the diagnosis of osteoporosis confronts two major challenges, the difficulty of distinguishing between osteoporosis and healthy subjects just from the visual inspection of bone X-ray images…”
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Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders Autor Tsinalis, Orestis, Matthews, Paul M., Guo, Yike

“… We used ensemble learning with an ensemble of stacked sparse autoencoders for classifying the sleep stages…”
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Stacked Sparse Autoencoders for EMG-Based Classification of Hand Motions: A Comparative Multi Day Analyses between Surface and Intramuscular EMG Autor Zia ur Rehman, Muhammad, Gilani, Syed Omer, Waris, Asim, Niazi, Imran Khan, Slabaugh, Gregory, Farina, Dario, Kamavuako, Ernest Nlandu

“… The aim of this study was to quantify the performance of stacked sparse autoencoders (SSAE), an emerging deep learning technique used to improve myoelectric control and to compare multiday surface electromyography…”
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A Hybrid Method of Enhancing Accuracy of Facial Recognition System Using Gabor Filter and Stacked Sparse Autoencoders Deep Neural Network Autor Jaber, Abdullah Ghanim, Muniyandi, Ravie Chandren, Usman, Opeyemi Lateef, Singh, Harprith Kaur Rajinder

“…Face recognition has grown in popularity due to the ease with which most recognition systems can find and recognize human faces in images and videos. However,…”
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Multiparametric deep learning tissue signatures for a radiological biomarker of breast cancer: Preliminary results Autor Parekh, Vishwa S., Macura, Katarzyna J., Harvey, Susan C., Kamel, Ihab R., EI‐Khouli, Riham, Bluemke, David A., Jacobs, Michael A.

“…). The breast tissue signatures are used as inputs in a stacked sparse autoencoder (SSAE) multiparametric deep learning (MPDL…”
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Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems Autor Alotaibi, Saud S., Alghamdi, Turki Ali

“… However, owing to the constraints of limited resources and computation abilities, IoT networks are subject to different cyber-attacks…”
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Hybrid data augmentation method for combined failure recognition in rotating machines Autor Martins, Dionísio H. C. S. S., de Lima, Amaro A., Pinto, Milena F., Hemerly, Douglas de O., Prego, Thiago de M., e Silva, Fabrício L., Tarrataca, Luís, Monteiro, Ulisses A., Gutiérrez, Ricardo H. R., Haddad, Diego B.

“…Rotating machines are frequently subject to a wide range of rough conditions, resulting in mechanical failures and performance degradation…”
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MEG Sensor Selection for Neural Speech Decoding Autor Dash, Debadatta, Wisler, Alan, Ferrari, Paul, Davenport, Elizabeth, Maldjian, Joseph, Wang, Jun

“…Direct decoding of speech from the brain is a faster alternative to current electroencephalography (EEG) speller-based brain-computer interfaces (BCI) in…”
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Deep Learning via Stacked Sparse Autoencoders for Automated Voxel-Wise Brain Parcellation Based on Functional Connectivity Autor Gravelines, Céline

“… labelled training data, allowing for unsupervised learning. This thesis presents a novel application of stacked sparse autoencoders to the problem of parcellating the brain based on its components’ (voxels…”
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Multi-Hierarchical Fusion to Capture the Latent Invariance for Calibration-Free Brain-Computer Interfaces Autor Yang, Jun, Liu, Lintao, Yu, Huijuan, Ma, Zhengmin, Shen, Tao

“…Brain-computer interfaces (BCI) based motor imagery (MI) has become a research hotspot for establishing a flexible communication channel for patients with…”
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A novel approach for classification of hand movements using surface EMG signals Autor Zia ur Rehman, Muhammad, Gilani, Syed Omer, Waris, Asim, Niazi, Imran Khan, Kamavuako, Ernest Nlandu

“… This paper introduces a novel classifier using Stacked sparse autoencoders (SSAEs) for improved myoelectric control…”
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Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques Autor Zia ur Rehman, Muhammad, Waris, Asim, Gilani, Syed Omer, Jochumsen, Mads, Niazi, Imran Khan, Jamil, Mohsin, Farina, Dario, Kamavuako, Ernest Nlandu

“… Seven able-bodied subjects performed six active motions (plus rest), and EMG signals were recorded for 15 consecutive days with two sessions per day using the MYO armband…”
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Performance of Combined Surface and Intramuscular EMG for Classification of Hand Movements Autor Rehman, Muhammad Zia Ur, Gillani, Syed Omer, Waris, Asim, Jochumsen, Mads, Niazi, Imran Khan, Kamavuako, Ernest Nlandu

“… Six surface and intramuscular channels were recorded concurrently from each subject for seven consecutive days and Stacked sparse autoencoders (SSAE…”
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