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    Research Project [13/13]
    journal & Dissertation [494/494]
    retired tests [110/110]

    Collection Statistics

    Item counts issued in 3 years: 474(16.18%)
    Items With Fulltext: 2929(100.00%)

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    Download times greater than 0: 2929(100.00%)
    Download times greater than 100: 2596(88.63%)
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    Last Update: 2025-11-30 22:59


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    Showing items 11-20 of 2929. (293 Page(s) Totally)
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    DateTitleAuthors
    2025-08-21 CCG: 交通事故對話式筆錄蒐集代理人;CCG: A Conversational Agent for Traffic Accidents Information Collection Based on Large Language Models 龔若齊; Kung, Jo-Chi
    2025-08-21 結合擴散模型與遺忘學習之聯邦學習逆向攻擊;DUFAttack: A Diffusion and Unlearning-Based Approach to Federated Learning Inversion Attacks 楊惠隆; Yeo, Hui-Long
    2025-08-19 P4 網路中結合移動目標防禦及分段路由之 強化式學習 DDoS 防禦機制;A Reinforcement Learning-Based DDoS Defense Mechanism Integrating Moving Target Defense and Segment Routing Using P4-enabled Programmable Networks 劉冠廷; Liu, Kuan-Ting
    2025-08-19 結合大型語言模型之 Sysmon 系統事件日誌惡意行為偵測方法;LLM-based Malicious Behavior Detection from Sysmon Event Logs 楊代儒; Yang, Dai-Ru
    2025-08-19 結合多模態檢索增強生成架構之個人化知識庫檢索系統設計與實作;Design and Implementation of a Personalized Knowledge Base Retrieval System with a Multimodal Retrieval-Augmented Generation Architecture 陳志昇; Chen, Zhi-Sheng
    2025-08-18 LMM:Kubernetes橫向移動攻擊中基於強化學習的緩解機制;LMM: A Reinforcement-Learning-Based Mitigation Mechanism of Lateral Movement in Kubernetes 洪琪懿; Hung, Ci-Yi
    2025-08-18 Minimizing Write Amplification of Data Deduplication System with ML based Fingerprint Store 蔡仁豪; Tsai, Ren-Hao
    2025-08-18 Optimizing HetGNN Swapping over ZNS SSD with Full-Path Parallelism 謝順英; Hsieh, Shun-Ying
    2025-08-18 聯邦學習中以知識蒸餾與量化來降低通訊及運算成本之架構;An Architecture for Reducing Communication and Computation Costs in Federated Learning via Knowledge Distillation and Quantization 陳力嘉; Chen, Li-Jia
    2025-08-16 FINE:基於多模態對比式嵌入學習的細粒度影像理解方法;FINE: Fine-Grained Image Understanding through Multimodal Contrastive Embedding Learning 林澤華; Lin, Tse-Hua

    Showing items 11-20 of 2929. (293 Page(s) Totally)
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