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  • Search Result: 4results Search Strategy: "Department of Computer Science and Information Engineering".edept (Phrase) and ekeyword.raw="Convolutional Neural Networks" and year="107" and year="107"


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    1

    Lung X-Ray Segmentation using Deep Convolutional Neural Networks on Contrast-enhanced Binarized Images
    • Department of Electronic and Computer Engineering /107/ Master
    • Author: Hsin-Jui Chen Advisor: Shanq-Jang Ruan
    • Automatically locating the lung regions effectively and efficiently in digital chest X-ray (CXR) im…
    • Clicks: 304Downloads: 0
    • Full text public date 2024/08/19 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)

    2

    An AI Driven Risk Assess Framework to Evaluate DDoS Cyber Attacks
    • Department of Information Management /107/ Master
    • Author: CHUN-WEI HUANG Advisor: Yuan-Cheng Lai
    • The cloud computing and Internet of Things (IoT) have become two key technologies to meet future bu…
    • Clicks: 452Downloads: 0
    • Full text public date 2024/08/20 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)

    3

    Bigger is Not Better: Towards Faster Multi-Scale Object Detectors

    4

    Energy-Efficient One-Dimension Winograd’s Minimal Filter Algorithm for Deep Convolutional Neural Networks based on FPGA
    • Department of Electronic and Computer Engineering /107/ Master
    • Author: WEN-JIE LI Advisor: Shanq-Jang Ruan
    • The state-of-the-art convolutional neural networks (CNNs) have been widely applied to many deep neu…
    • Clicks: 387Downloads: 0
    • Full text public date 2024/08/15 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)
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