Search Results - "stacked sparse autoencoder (SSAE)"

Multiparametric deep learning tissue signatures for a radiological biomarker of breast cancer: Preliminary results by 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 by 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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A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes by 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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Multi-Hierarchical Fusion to Capture the Latent Invariance for Calibration-Free Brain-Computer Interfaces by 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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Deep Learning Based Lithology Classification Using Dual-Frequency Pol-SAR Data by 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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Performance of Combined Surface and Intramuscular EMG for Classification of Hand Movements by 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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Stacked Sparse Autoencoders for EMG-Based Classification of Hand Motions: A Comparative Multi Day Analyses between Surface and Intramuscular EMG by 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 by 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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E2CNN: An Efficient Concatenated CNN for Classification of Surface EMG Extracted From Upper Limb by Qureshi, Muhammad Farrukh, Mushtaq, Zohaib, Rehman, Muhammad Zia Ur, Kamavuako, Ernest Nlandu

“…) subjects and six transradial amputee…”
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A novel approach for classification of hand movements using surface EMG signals by 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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