Deep Learning.
概要
作品: | 48 作品在 46 項出版品 46 種語言 |
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書目資訊
基於Pixel2PixelGAN的光纖干涉感測器強健解調方法 = = The Robust Demodulation Method for Fiber Optic Interferometric Sensors by Pixel2Pixel GAN /
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運用深度學習辨識3D工件方位之研究 = = Recognizing 3D Object Position and Orientation with Deep Learning /
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應用飛拍於細小孔洞連續掃描 = = Application of Flying Trigger for Continuous Inspection of Small Holes /
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運用震動與聲音訊號深度學習模型於設備狀態檢測系統開發與實現 = = Development and Implementation of Equipment Status Detection System Using Vibration and Acoustic Signal Deep Learning Models /
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泵浦導輪氬焊焊道瑕疵檢測之研究 = = Research on the Detection of Weld Bead Defects in Argon Welding of Pump Guide Wheel /
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基於BERT-BiLSTM之COVID-19推文情感分析 = = Sentiment Analysis of COVID-19 Tweets Data Based on BERT-BiLSTM /
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以深度學習為基礎之野外倒立水母辨識技術之研究 = = Research on Field Inverted Jellyfish Recognition Technology Based on Deep Learning /
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結合人工智慧辨識及廣域物聯網技術應用於販售系統 = = New Generation Artificial Intelligent Vending Machine System based on LoRaWan IOT Network /
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基於深度學習之圖像分割實現機器人載具地板區域辨識方法 = = A New Recognition Floor Region based on FCN Neural Network for Unmanned Ground Vehicle /
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使用生成對抗網路技術於麥克生感測器訊號解調之研究 = = Research on Signal Demodulation of Michelson Sensor Using Generative Adversarial Network Technology /
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使用生成對抗網路技術於光學同調斷層掃描以消除多層樣品偽影 = = Applying Generative Adversarial Network to Optical Coherence Tomography Image for Multilayer Sample Artifact Elimination /
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使用BERT分類器進行刑事相關法條預測以及裁判書推薦 = = Using BERT Classifiers for Criminal Law Articles Prediction and Judgements Recommendation /
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基於深度學習之肛門指診預測對攝護腺 D'Amico Risk 等級分類 = = Prostate D'Amico Risk Classification Based on DRE Prediction Based on Deep Learning /
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應用深度學習技術對咖啡生豆進行影像分析和品質評估 = = Applying deep learning techniques for image analysis and quality evaluation of green coffee beans /
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使用一個影像嵌入點雲的錐體網路於三維物件偵測 = = Using a FrustumNet-CSP with Image Embedding in Point Clouds for 3D Object Detection /
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基於深度學習和手臂肌電運動的自駕車控制系統之研究 = = Research on Control of Autonomous Vehicle Systems Based on Deep Learning and Arm Electromyographic Movement /
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使用MediaPipe 和深度學習之混合模型的手部辨識運算 = = Hand Recognition Algorithm Using Hybrid Model of MediaPipe and Deep Learning /
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使用機器學習和深度學習探討推特(Twitter)用戶對於新冠肺炎(Covid-19)仇恨言論的分類模型 = = Classification of Hate Speech in Twitter user Toward Covid-19 Using Machine Learning and Deep Learning /
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深度學習應用於工廠電力系統預測 = = The Prediction of Energy Consumption Using Deep Learning Method in Manufacturing Industry /
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探討使用多重隨機策略產出合成影像對物件辨識效能之影響 = = Analysis of the Impact of Synthetic Image Data with Multiple Randomization Strategies on Object Detection Performance /
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使用點雲資料在基於語義分割之單級三維物件偵測 = = Semantic Segmentation-Based Single-Stage 3D Object Detection with Point Clouds /
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人工智慧與邊緣運算技術應用於無人機之影像追蹤 = = Integrating artificial intelligence (AI) and Edge Computing technology for visual tracking of the UAV /
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深度學習之聲音辨識應用於金屬待測物 = = Deep Learning of Sound Recognition for Detecting Defected Metal Objects /
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使用生成對抗網路技術於頻域光學同調斷層掃描圖像加強之研究 = = The Study of Fourier Domain Optical Coherence Tomography Image Enhancement via Pix2PixGAN Technique /
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以局部點雲之比對辨識堆疊工件之機器手臂夾持特徵研究 = = Grasp Feature Recognition on Stacked Pile Parts Using Segmented Point Cloud for Industrial Robots /
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運用深度學習-YOLO於機械手臂取放優化研究 = = Research on Optimizing Pick-and-Place Operation via Deep Learning-YOLO /
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基於卷積類神經網路及長短期記憶之人體動態識別研究 = = A Study of Human Activity Recognition Based on Convolutional Neural Network and Long Short-Term Memory /
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使用本體架構建立機構異常之推理架構 = = Building an Ontology-based Inference Structure for Fault Diagnosis on Machine Assemblies /
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運用深度學習與物聯網技術發展蹲踞式起跑培訓分析系統 = = Developing a Crouch Starting Analysis System by Using Deep Learning Algorithm and IoT Technique /
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菇類太空包製包自動化檢測之研究 = = Research on Automatic Inspection of PP-bag Mushroom Packaging /
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以深度學習的卷積神經網路研製蠟染影像分類之研究 = = A Study of Using Deep Learning with Convolutional Neural Network for Batik Image Classification /
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植基於深度學習之影像辨識技術之研究 = = A Study of Image Recognition Techniques Using Deep Learning /
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深度學習分析膽固醇液晶之材料參數研究 = = Study on Material Parameters of Cholesteric Liquid Crystal by Deep Learning /
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深度學習在機器人視覺辨識中的應用 = = Application of Deep Learning in Robot Visual Identification /
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基於擴增實境與深度學習之室內定位研究 = = A Study of Indoor Positioning Based on Augmented Reality and Deep Learning /
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