Výsledky vyhledávání - "Lee, WonSook"

Report

Comparison between layer-to-layer network training and conventional network training using Deep Convolutional Neural Networks

Autor: Bhyravabhottla, Kiran Kumar Ashish, Lee, WonSook

Title: Comparison between layer-to-layer network training and conventional network training using Deep Convolutional Neural Networks Abstract: Convolutional neural networks (CNNs) are widely used in various applications due to their effectiveness in

Externí odkaz: http://arxiv.org/abs/2303.15245

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Report

A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution

Autor: Ma, Qing, Koh, Jae Chul, Lee, WonSook

Synthetic X-ray images are simulated X-ray images projected from CT data. High-quality synthetic X-ray images can facilitate various applications such as surgical image guidance systems and VR training simulations. However, it is difficult to produce

Externí odkaz: http://arxiv.org/abs/2105.06887

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Report

PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structure

Autor: Ratul, Md Aminur Rab, Elahi, Maryam Tavakol, Mozaffari, M. Hamed, Lee, WonSook

Protein secondary structure is crucial to creating an information bridge between the primary and tertiary (3D) structures. Precise prediction of eight-state protein secondary structure (PSS) has significantly utilized in the structural and functional

Externí odkaz: http://arxiv.org/abs/2009.10380

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Akademický článek

RGB image-based hybrid model for automatic prediction of flashover in compartment fires

Autor: Li, Yuchuan, Ko, Yoon, Lee, Wonsook

Publikováno v: In Fire Safety Journal September 2022 132

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Report

3D Ultrasound image segmentation: A Survey

Autor: Mozaffari, Mohammad Hamed, Lee, WonSook

Three-dimensional Ultrasound image segmentation methods are surveyed in this paper. The focus of this report is to investigate applications of these techniques and a review of the original ideas and concepts. Although many two-dimensional image segme

Externí odkaz: http://arxiv.org/abs/1611.09811

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