李昕潔

3D Anomaly Detection Based on Curriculum Learning with Multimodal Information

科技管理研究所

3D 異常偵測、合成異常、課程學習、電腦視覺、深度學習、3D Anomaly Detection、Synthetic Anomaly、Curriculum Learning、Computer Vision、Deep Learning

Entropy-based Adaptive Knowledge Distillation

科技管理研究所・共同指導：郭浩然

熵、知識蒸餾、模型壓縮、深度學習、Entropy、Knowledge Distillation、Model Compression、Deep Learning

Knowledge Distillation based on Hessian-Aware and Reinforcement Learning Supervising under an Adaptive Off-Policy Strategy

科技管理研究所

大型語言模型優化、黑塞矩陣、自適應離策略抽樣機制、知識蒸餾、深度學習、強化學習、Large Language Models Optimization、Hessian Matrix、Adaptive Off-Policy Sampling Strategy、Knowledge Distillation、Deep Learning、Reinforcement Learning

IFSR: Integrated Frequency and Sequence Restoration for Industrial Anomaly Detection

科技管理研究所

工業異常檢測、頻域分析、曼巴網絡、圖像重建、深度學習、Industrial Anomaly Detection、Frequency Domain Analysis、Mamba Network、Image Reconstruction、Deep Learning

A Lightweight Conditional Diffusion Model Based on Multi-Scale Training and Guidance Mechanisms for Cross-Domain Anomaly Detection and Fine-Grained Result Generation

科技管理研究所

跨域異常偵測、細粒度結果生成、多尺度訓練、引導機制、輕量化條件擴散模型、Cross-domain anomaly detection、fine-grained result generation、multi-scale training、guided mechanism、lightweight conditional diffusion model

Knowledge Distillation of Image Classification Based on Class Relationship

科技管理研究所

影像識別、類別關係、知識蒸餾、深度學習、Image Classification、Class Relationship、Knowledge Distillation、Deep Learning

BA-DDRNet: Boundary-Guided and Attention-Enhanced Deep Dual-Resolution Networks for Real-Time Semantic Segmentation in Road Scenes

科技管理研究所

即時語義分割、邊界偵測、雙分辨率網路、深度學習、電腦視覺、Real-time Semantic Segmentation、Boundary Detection、Dual-resolution Networks、Deep Learning、Computer Vision

A Study on Green Supply Chain Evaluation and Supplier Selection Strategies in China's Large-Scale Electronics Manufacturing Industry

管理學院專班-科技管理學程

大型電子製造業綠色供應鏈管理、ESG評估、理想解相似度順序偏好法(TOPSIS)、多準則決策、供應商選擇策略、Green supply chain management、ESG evaluation、TOPSIS、Multi-criteria decision making (MCDM)、Supplier selection strategy

A Study on Product Development Strategy of Generative AI in Consumer Electronic

管理學院專班-科技管理學程

生成式人工智慧、AI產品開發策略、整合型科技接受模型、消費性電子產品、Generative Artificial Intelligence、AI Product Development Strategy、Unified Theory of Acceptance and Use of Technology、Consumer Electronics

Integrating Structured and Semantic Features for Semiconductor Patent Survival Prediction Based on Machine Learning Modeling

管理學院專班-科技管理學程

半導體專利存續預測、異質特徵融合、文本分析、機器學習、Semiconductor patent survival prediction、Heterogeneous feature fusion、Text mining、Machine learning

How Government Policies Promote New Energy Vehicle Market Growth: An Empirical Study Based on the Chinese Market

管理學院專班-科技管理學程

新能源汽車市場、政府政策成效、科技政策、New Energy Vehicle Market、Government Policy Effectiveness、Technology Policy

An Analysis of Factors Influencing Emotional Responses to COVID-19 Vaccination: A Text Analysis of PTT Social Media Posts

管理學院專班-科技管理學程

嚴重特殊傳染性肺炎、疫苗接種情緒反應、副作用因素、社群文本分析、COVID-19、Emotional Responses to Vaccination、Side Effect Factors、Social Media Text Analysis

A Global-Local Synergistic Large-Kernel Convolution Network for Multi-Class Unsupervised Anomaly Detection

科技管理研究所

多類別異常檢測、大卷積核神經網路、深度學習、非監督式學習、Multi-class Anomaly Detection、Large Kernel Convolutional Neural Network、Deep Learning、Unsupervised Learning

Synergistic Fusion of Frequency-Domain Boundaries and Semantic Information for Video Object Segmentation

科技管理研究所・共同指導：黃仕斌

影片物件分割、邊界偵測、XMem、電腦視覺、深度學習、Video Object Segmentation、Boundary Detection、Computer Vision、Deep Learning

Application of Explainable Machine Learning to Medical Diagnosis: Case Studies of Periprosthetic Joint Infection and Candidemia

資訊科學與工程研究所・共同指導：胡毓志、郭峯志

人工關節周圍感染、念珠菌血症、堆疊泛化模型、可解釋機器學習、Periprosthetic Joint Infection、Candidemia、Stacked Generalization Models、Explainable Machine Learning

Subtle Anomaly Detection based on Improved Deep Support Vector Data Description Network with Coupled-Hypersphere based Feature Adaption

科技管理研究所

細微異常偵測、深度學習、深度微調、subtle anomaly detection、Deep learning、Deep tuning

Medical Image Generation based on Hybrid Processing of Diffusion Modeling

科技管理研究所

數據稀缺、數據生成、數據增強、擴散模型、影像分割、物件辨識、深度學習、Data Scarcity、Data Generation、Data Augmentation、Diffusion Models、Image Segmentation、Object Detection、Deep Learning

Prediction of Sleep Apnea Severity Using Integrated Single Channel EEG Based on Machine Learning

科技管理研究所

睡眠呼吸中止症預測、腦電圖數據處理與分析、醫療數據模式識別、智慧醫療、機器學習、Prediction of Sleep Apnea、EEG Data Processing and Analysis、Medical Data Pattern Recognition、Intelligent Healthcare、Machine Learning

Integrating Global Information and Self-Attention Mechanisms in Unsupervised Models for Industrial Image Anomaly Detection

科技管理研究所

異常偵測、自注意力機制、非局部機制、卷積神經網路、變換器、曼巴、Anomaly Detection、Self-Attention Mechanism、Non-Local Mechanism、Convolution Neural Network、Transformer、Mamba

Integrating Machine Learning into Software Development Methodology

管理學院專班-科技管理學程

軟體開發、機器學習、Software Development Model、Machine Learning

Recommendation System Approaches based on Deep Attentive Neural Networks

資訊管理研究所・共同指導：劉敦仁

推薦系統、人才推薦、遊戲推薦、注意力機制、協同學習、Recommendation system、Talent recommendation、Game recommendation、Attention mechanism、Collaborative learning

Analysis of Business Strategies in the Taiwan Elevator Industry – A Case Study of a Company

管理學院專班-科技管理學程

電梯產業經營策略、科技管理、Elevator industry business strategy、Scientific and technological management.

Anomaly Detection Based on a Hybrid Gaussian-Chebyshev Based Method for Industrial Dataset.

科技管理研究所

異常偵測、智慧製造、高斯混合模型、柴比雪夫不等式、機器學習、Anomaly Detection、Smart Manufacturing、Gaussian Mixture Model、Chebyshev’s Inequality、Machine Learning

Object Detection Processing Based on CPA Module for Lite UPANets and Attention Mechanism

科技管理研究所

物件偵測、注意力機制、深度學習、Object Detection、Channel Pixel Attention、UPANets、Attention mechanism、Deep Learning

A Novel Knowledge Distillation Base on Hierarchical Channel Attention Mechanism

科技管理研究所

知識蒸餾、輕量化模型設計、特徵嵌入關係、Knowledge Distillation、Lightweight Model Design、Feature Embedding Relation

Automatic M-mode Echocardiography Measurement Method Based on Real-time Instance Segmentation Model

科技管理研究所

智慧醫療、M-mode心臟超音波、即時實例分割深度學習、正負樣本分配、電腦視覺、Smart Health Care、M-mode Echocardiography Measurement、Real-time Instance Segmentation、Label Assignment、Computer Vision

A Case Study of Business Model in AI Fabless Company

管理學院科技管理學程

人工智慧、邊緣運算、半導體產業商業模型分析、Artificial Intelligence、Edge Computing、Semiconductor Industry Business Model Analysis

W-SCINet: Weighted Sample Convolution and Interaction Network (SCINet) based on Perceptron for Time-Series Forecasting

科技管理研究所

時間序列數據預測、深度學習、單層感知器、注意力機制、Time Series Data Forecasting、Deep Learning、Single-layer Perceptron、Attention Mechanism

Exploring the Feature Importance of Pandemic Toward Taiwan Economy Based on Deep Learning

科技管理研究所

疫情特徵重要性識別、時間序列數據分析、深度學習、可解釋性人工智慧、feature importance of the pandemic identification、time-series data analysis、deep learning、explainable AI

A Comparative Study of The Effectiveness from Multiple Government Policies toward Various-Level COVID-19 Prevention Strategies

科技管理研究所

新冠肺炎、防疫政策、總體經濟、資料科學、人工智慧、COVID-19、Epidemic Prevention Policy、Macroeconomics、Data Science、Artificial Intelligence

Image Processing Based on CPA-PoolNet Salient Object Detection

科技管理研究所

機器學習、深度學習、PoolNet、CPA、UPANets、Machine Learning、Deep Learning

Anomaly detection of semiconductor manufacturing based on machine learning

科技管理研究所

機器學習、異常檢測、半導體製造、Machine Learning、Anomaly Detection、Semiconductor Manufacturing

CNC Optimization Based on Machine Learning

企業管理碩士學程

電腦數值控制、機器學習、製程優化、CNC、Machine Learning、Opimization

Hybrid Resume Recommendation based on XGBoost and Content-Based Filtering Model

資訊管理研究所・共同指導：劉敦仁

履歷推薦、混合式推薦系統、XGBoost、內容式過濾方法、基於使用者的協同過濾、Top N推薦、Resume Recommendation、Hybrid Recommendation System、Content-Based Filtering、User-based collaborative filtering、Top-N recommendation

The Innovation and Impact of Bank 4.0 on Banking Service

管理學院科技管理學程・共同指導：黃仕斌

Bank 4.0、金融科技、數位轉型、商業模式畫布、Fintech、Digital Transformation、Business Model Canvas

The prediction of default payment of credit cards based on machine learning methods

科技管理研究所

信用卡違約、機器學習、LightGBM、NaïveBayes、Random Forest、XGBoost、Stacking、Default Payment of Credit Cards、Machine Learning

The Detection of Complete Blood based on Deep Neural Networks

科技管理研究所

全血細胞計數、深度學習、CNN、Complete Blood Count、Deep Learning

SAM-GNS: Sharpness-Aware Minimization in Gradient Norm Space

科技管理研究所

深度學習、圖像識別、優化、泛化、凸形損失函數結構、Deep Learning、Image classification、Optimization、Generalization、Convex loss landscape

The Prediction of Stock Portfolio Construction based on Bootstrapping Neural Network-Taiwan 50 Index

財務金融研究所・共同指導：郭家豪

台灣50指數、投資組合配置、自舉式類神經網路、現代投資組合理論、Portfolio Construction、James-Stein analysis、Mean-Variance analysis、Minimum-Variance analysis、Long Short-Term Memory、Bootstrapping

Estimation of Complete Blood Count Based on Deep Learning Method

科技管理研究所

全血細胞計數、深度學習、卷積神經網路、Complete Blood Count、Deep Learning、CNN

A Comparative Study of the Impact of Adaptable Policy Development between EU and China under Green Bonds in Sustainable Economy

管理學院科技管理學程

可持續性經濟、綠色債券、責任歸因框架、氣候變遷治理模式、可持續性經濟指標框架、科技政策、Sustainable Economy、Green Bonds、Responsibility Attribution Framework、Climate Change Governance Model、Sustainable Economic Indicator Framework、Technology Policy

A Recurrent Neural Network Based Energy Management-Household Electricity Consumption Forecast

科技管理研究所

深度學習、能源管理、智慧電錶、神經網路、電力預測、Deep Learning、Energy Management、Smart Meter、Neural Network、Electricity Forecast

Medical Images Classification Based on Inceptional Convolutional Neural Networks - DR Fundus Images

科技管理研究所

DR眼底圖像分類、卷積神經網絡、Inception Net、SENet、PReLU、Xavier-value、He-value、DR Fundus Image Classification、Convolution Neural Networks

Bankruptcy Prediction Effectiveness Analyses based on Machine Learning Models: New Evidences from Higher Order Moment Risks of Equity Market Information

管理科學系所・共同指導：陳宗岡

機器學習、信用風險、破產預測、權益市場資訊、高階動差、machine learning、credit risk、bankruptcy prediction、equity market Information、higher order moment

An Encoder-Flow Based Method for Anomaly Detection By Capturing the Normal Patterns

科技管理研究所

異常偵測、自編碼器、流模型、Anomaly Detection、Autoencoder、Normalizing Flow

Random Rotboost: An Ensemble Classification Method Based on Rotation Forest and AdaBoost in Random Subsets

科技管理研究所

旋轉森林、AdaBoost、分類、機器學習、rotation forest、classification、machine learning

Conditional Deep Convolutional Generative Adversarial Network with Squeeze and Excitation Mechanism

資訊管理研究所・共同指導：劉敦仁

生成對抗網路、條件式生成對抗網路、深度學習、類神經網路、縮放神經網路、卷積神經網路、電腦視覺、Machine Learning、Deep learning、GAN、Squeeze-and-Excitation Networks、DCGAN、Conditional GAN

Ternary Generative Adversarial Networks

科技管理研究所

Deep Learning、CNNs、GANs

Application of Machine Learning with Climate Factors in Prediction Model of Taiwan Fishery Revenue

科技管理研究所

機器學習、迴歸、遞迴神經網路、漁業、氣候變遷、machine learning、regression、recurrent neural network、fishery、climate change

Motor Fault Detection Using Time Domain Vibration Signal and Recurrent Neural Network

科技管理研究所・共同指導：何無忌

馬達故障檢測、遞迴神經網路、智慧製造、Motor fault detection、Recurrent neural network、Smart manufacturing