Výsledky vyhledávání - "Constrained autoencoder"

A computer‐aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images Autor ElTanboly, Ahmed, Ismail, Marwa, Shalaby, Ahmed, Switala, Andy, El‐Baz, Ayman, Schaal, Shlomit, Gimel’farb, Georgy, El‐Azab, Magdi

“…Purpose Detection (diagnosis) of diabetic retinopathy (DR) in optical coherence tomography (OCT) images for patients with type 2 diabetes, but almost…”
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TAEN: a model-constrained Tikhonov autoencoder network for forward and inverse problems Autor Van Nguyen, Hai, Bui-Thanh, Tan, Dawson, Clint

“…Efficient real-time solvers for forward and inverse problems are essential in engineering and science applications. Machine learning surrogate models have…”
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Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder Autor Chen, Jie, Wu, ZhongCheng, Zhang, Jun

“…In this paper, we propose a new driver identification method using deep learning. Existing driver identification methods have the disadvantages that the size…”
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Domain Adaptation and Autoencoder-Based Unsupervised Speech Enhancement Autor Li, Yi, Sun, Yang, Horoshenkov, Kirill, Naqvi, Syed Mohsen

“…As a category of transfer learning, domain adaptation plays an important role in generalizing the model trained in one task and applying it to other similar…”
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Bearing Remaining Useful Life Prediction Based on CICAE and ResConv1D-LSTM Autor Qin, Yi, Zhao, Yihang, Zhuo, Yi'an, Chai, Yi, Yang, Zhenli, Mao, Yongfang

“…Bearings play a critical role in industrial machinery, and accurate predictions of the remaining useful life (RUL) of bearings are essential for ensuring the…”
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Driving Safety Risk Prediction Using Cost-Sensitive With Nonnegativity-Constrained Autoencoders Based on Imbalanced Naturalistic Driving Data Autor Chen, Jie, Wu, ZhongCheng, Zhang, Jun

“…A large number of studies have shown that most vehicle collisions are caused by drivers' abnormal operations. To ensure the safety of all people on the road…”
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Milling tool condition monitoring for difficult-to-cut materials based on NCAE and IGWO-SVM Autor Wang, Siqi, Yan, Shichao, Sun, Yuwen

“…Tool wear will induce a series of problems such as surface quality degradation, poor dimensional accuracy, and low machining efficiency. Tool condition…”
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A Novel Deep Neural Network-Based Framework for Subsurface Analysis in Non-Stationary Thermal Wave Imaging Autor Swapna, M. N., Suman, M., Prasanthi, Y. N., Ghali, V. S., Mulaveesala, R.

“…Enhanced depth resolution and deeper depth scanning are the most pivotal challenges in thermal wave imaging-based non-destructive evaluation. In the recent…”
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Golden eagle optimized CONV-LSTM and non-negativity-constrained autoencoder to support spatial and temporal features in cancer drug response prediction Autor Hajim, Wesam Ibrahim, Zainudin, Suhaila, Daud, Kauthar Mohd, Alheeti, Khattab

“…Advanced machine learning (ML) and deep learning (DL) methods have recently been utilized in Drug Response Prediction (DRP), and these models use the details…”
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Simultaneous and Proportional Wrist Force Intent Estimation Method using Constrained Autoencoder Autor Cho, Younggeol, Kim, Pyungkang, Kim, Kyung-Soo

“…The proposed model is capable of estimating multiple degrees of freedom wrist force simultaneously and proportionally. In the case of previous studies, it has…”
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