- 學位論文
基於深度學習物件辨識模型的動態即時無線頻譜圖偵測技術
Real-time Spectrogram Identification Technology Based On Deep learning Object Detection Model
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延伸閱讀
- Do, B. H. (2011). 基於類神經網路之適用於動態場景的高精確度物件偵測 [master's thesis, National Taipei University of Technology]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0006-0707201122272300
- Hsieh, C. C. (2020). 使用深度學習之無線通訊系統的聯合精細時間同步與通道估測技術 [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-0209202114082549
- Lin, L. H. (2021). 以頻道狀態資訊為基礎使用深度學習的裝置身份識別技術 [master's thesis, National Ilan University]. Airiti Library. https://doi.org/10.6820/niu202100024
- 蔡仁凱（2020）。Deep Learning Based Real-Time Multiple-Person Action Recognition System〔碩士論文，國立臺灣師範大學〕。華藝線上圖書館。https://doi.org/10.6345/NTNU202001187
- Tsai, C. Y., & Yu, C. C. (2018). Real-time Textureless Object Detection and Recognition Based on an Edge-based Hierarchical Template Matching Algorithm. 淡江理工學刊, 21(2), 229-240. https://doi.org/10.6180/jase.201806_21(2).0011