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    1
    TIMELY FALL RISK LEVEL CLASSIFICATION FOR WORKERS ON CONSTRUCTION SITES THROUGH OPTICAL-INSPIRED HYBRID DEEP LEARNING
    • Department of Civil and Construction Engineering /112/ Master
    • Author: Deyla Viola Natalia Soegiono   Advisor: Min-Yuan Cheng
    • Fall accidents significantly contribute to fatalities in the construction industry. Accurate risk l…
    • Clicks: 319  Downloads: 2 
    • Full text public date 2027/08/15 (Internet public)
    • Full text public date 2027/08/15 (National library)

    2
    Click-Attention Graph for Neural Information Retrieval
    • Department of Information Management /108/ Master
    • Author: Ju-Min Hsiao   Advisor: Chiun-Chieh Hsu
    • With the vigorous development of neural network related theories and technologies, it has occupied …
    • Clicks: 728  Downloads: 0 
    • Full text public date 2025/08/24 (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
    TGMK: Temporal Graph Embedding incorporating with Memory Mechanism and k-hop Selection

    4
    Graph Attention Networks for Overlapping Community-aware Social Recommendation
    • Department of Computer Science and Information Engineering /112/ Master
    • Author: Pao-Yun Ma   Advisor: Bi-Ru Dai
    • Social influence affects user preference and behavior based on social theory. Therefore, social rec…
    • Clicks: 440  Downloads: 0 
    • Full text public date 2034/01/23 (Intranet public)
    • Full text public date 2034/01/23 (Internet public)
    • Full text public date 2034/01/23 (National library)

    5
    Enhancing IoT Malware Classification through the Extraction of System Calls within Function Call Graphs
    • Department of Computer Science and Information Engineering /112/ Master
    • Author: Wei-Jen Liao   Advisor: Hahn-Ming Lee 、 Shin-Ming Cheng
    • The dramatic increase in IoT malware presents significant challenges for analyzing and learning th…
    • Clicks: 273120  Downloads: 0 
    • Full text public date 2026/08/12 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date 2029/08/12 (National library)
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