M.S. Theses
- 陸同學(1994/9-1997/3), 電子零件可靠度預估方法之比較—以局用電子數位交換機之零組件可靠度預估為例 (Comparative Study on Reliability Prediction Procedures for Electronic Equipment)
- 陳同學(1995/9-1997/6), 高可靠度產品壽命預估—以發光二極體為例 (A Novel Approach for the Life Forecasting of a Highly Reliable Product)
- 許同學(1995/9-1997/6), 感性工學執行程序之構建 (A Concise Procedure for Executing Kansei Engineering)
- 苗同學(1996/9-1998/6), 應用類神經網路於實驗計劃中受限資料分析之研究 (Censored Data Analysis of Experimental Design by Neural Network Approach)
- 梁同學(1996/9-1998/6), 晶圓製造廠產品組合與機器利用率模式之構建 (The Design of Product Mix and Equipment Utilization Model for Wafer Fabrication Factories)
- 馮同學(1996/9-1998/6), 晶圓製造廠產品組合、機器利用率與系統平均在製品存貨水準模式之構建—考慮隨機性模式 (Construction of Product Mix, Equipment Utilization and WIP Models for Semiconductor Fabrication Factories)
- 鄭同學(1997/9-1999/1), 應用類神經網路於實驗計劃中遺失資料分析之研究 (A Neural Network Approach for Experimental Analysis with Missing Data)
- 許同學(1997/9-1999/6), 晶圓製造廠有系統佈置流程之構建 (Systematic Layout Procedure for Semiconductor Fabrication Facilities)
- 洪同學(1998/9-2000/1), 台灣地區通訊工業推行品質管理之實證研究 (The Empirical Study of Implementing Quality Management in Communication Industry in Taiwan)
- 徐同學(1998/9-2000/6), 操作路徑失效分析—以衛星任務為例 (Operation Path Failure Analysis—A Case Study of Satellite Mission)
- 李同學(1998/9-2000/6), 智慧型問題診斷系統之構建—以園區通訊廠商品質系統為例 (Intelligent Approach for Diagnosis System: A Case Study)
- 鄭同學(1998/9-2000/6), 品質管理實務與全面品質管理之實證研究—以台灣地區電腦及其周邊產業為例 (Quality Management Practice and Total Quality Management in the Computer and its Peripheral Industry in Taiwan)
- 楊同學(1998/9-2000/6), 台灣地區半導體產業推行品質管理之實證研究 (The Empirical Study of Implementing Quality Management in Semiconductor Industry in Taiwan)
- 陳同學(1998/9-2000/7), 類神經網路在醫學檢驗的應用—以肝病為例 (Application of Neural Network for the Diagnosis of Liver Diseases)
- 柯同學(1999/9-2001/1), 應用監督式類神經網路於晶粒表面缺陷辨識之研究 (Using Supervised Artificial Neural Networks for Die Defect Detection)
- 許同學(1999/9-2001/1), 類神經網路之知識挖掘 (Knowledge Mining From Trained Artificial Neural Networks)
- 許同學(1999/9-2001/6), SPC與EPC之整合研究:利用類神經網路構建製程干擾模式 (Integrate SPC and EPC: Using Neural Network To Construct Disturbance Model)
- 蔡同學(1999/9-2001/7), 應用模糊整合類神經網路於疾病診斷之研究--以肝病為例 (Application of Fuzzy Aggregation Network for the Diagnosis of Liver Diseases)
- 姜同學(1999/9-2001/7), 類神經網路與統計方法在分類問題的應用研究 (Application of Artificial Neural Networks and Statistical Methods in Classification)
- 鄒同學(2000/9-2002/6), 應用類神經網路與共通式演算法於參數設計最佳化--以積體電路焊線製程為例 (Applying Neural Network and Meta Algorithm for Optimization of Parameter Design-A Case study)
- 周同學(2000/9-2002/6), 應用類神經網路於統計機率分配辨識之研究 (Using Neural Network for Statistic Probability Distribution Recognition)
- 柳同學(2001/9-2003/5), SPC在半導體機台微粒數的運用 (SPC for Machine Particle Counts in the Semiconductor Manufacturing)
- 楊同學(2002/9-2004/6), 應用改良型巨集式啟發式方法於TFT-LCD良率控制最佳化之研究 (Two-Phased Meta-Heuristic Methods for the Post-Mapping Yield Control Problem)
- 黃同學(2002/9-2004/6), 應用六標準差突破策略改善製造策略規劃流程 (Six Sigma Breakthrough Strategy for the Improvement of the Manufacturing Strategy Formulation Process: A Case Study)
- 蕭同學(2003/9-2005/6), 應用MTS於非平衡資料分析之穩健性研究--以行動電話檢測流程為例 (An Evaluation of the Robustness of MTS for Imbalanced Data -- A Case Study of Mobile Phone Test Process)
- 彭同學(2003/9-2005/6), 應用限制型利基伯拉圖基因演算法於製程參數最佳化 (Constraint Based Niched Pareto Genetic Algorithm and Its Application in Process Parameter Optimization)
- 賴同學(2005/9-2007/3), 六標準差專案選取架構之發展與案例分析 (A Six Sigma Project Selection Framework and Its Case Study)
- 李同學(2005/9-2007/3), 六標準差DMAIC流程改善模式之軟體發展 (Development of Six Sigma DMAIC Process Improvement Software)
- 吳同學(2005/9-2007/5), 應用精實六標準差改善流程週期效率 (An Application of Lean Six Sigma for Improving the Process Cycle Efficiency: A Case Study)
- 陳同學(2005/9-2007/5), 應用類神經網路於TFT-LCD微影製程缺陷辨識之研究 (A Neural-Network Approach for Defect Recognition in TFT-LCD Photolithography Process)
- 張同學(2006/9-2008/6), 我國平面顯示器設備產業生產績效之探討 (An Empirical Study on the Performance of Flat Panel Display Equipment Industry in Taiwan)
- 林同學(2006/9-2008/6), 改良非排序特徵選取過濾法於TFT-LCD Array製程檢測之應用 (An Improved Non-ranker Filter Feature Selection Method for TFT-LCD Array Process Inspection)
- 方同學(2006/9-2008/6), 整合HFMEA與VSM於醫療流程之改善 (Integrating HFMEA and VSM for Healthcare Process Improvement)
- 曾同學(2007/9-2009/6), 應用醫療照護之失效模式與效應分析於醫療流程之改善 (Applying HFMEA to Healthcare Process Improvement)
- 周同學(2007/9-2009/6), 應用精實六標準差改善物流配送績效 (An Application of Lean Six Sigma for Improving the Material Distribution Performance: A Case Study)
- 曲同學(2007/9-2009/6), 運用決策數與倒傳遞類神經網路建構台股之整合性投資策略 (Using Decision Tree and Back-Propagation Neural Network Building the Integrated Investment Strategy in Taiwan Stock Market)
- 林同學(2007/9-2009/6), 應用馬氏田口系統於醫療診斷—以術中壓瘡為例 (Applying MTS to Healthcare Diagnosis—A Case Study on Pressure Ulcer)
- 張同學(2007/9-2009/6), 結合反應曲面法、類神經網路與基因演算法於觸控面板雷射切割製程參數最佳化 (Combining Response Surface Method, Neural Networks and Genetic Algorithms for Optimizing the Parameter Design of Touch Panel Laser Cutting Process)
- 吳同學(2008/9-2010/6), 結合粒子群最佳化演算法與馬氏田口系統以解決不平衡資料之分類問題 (Combine Particle Swarm Optimization and Mahalanobis-Taguchi System for Solving Classification Problem in Imbalance Data)
- 楊同學(2008/9-2010/6), 應用精實六標準差改善急性心肌梗塞病患之血管再灌注時間 (An Application of Lean Six Sigma for Improving the Door-to-Balloon Time in Acute Myocardial Infarction: A Case Study)
- 羅同學(2008/9-2010/6), 應用資料探勘於用藥選擇—以顯影劑為例 (Applying Data Mining to Drug Choice—A Case Study on Contrast Mecium)
- 龔同學(2008/9-2011/1), 中華民國國家品質獎與公司市場價值之實證研究 (Taiwan National Quality Award and the Market Value of the firm: An Empirical Investigation)
- 王同學(2009/9-2011/6), 結合田口方法、類神經網路、期望函數與基因演算法於太陽能選擇性吸收膜連續濺鍍製程之參數設計最佳化 (Combining Taguchi Methods, Neural Networks, Desirability Function and Genetic Algorithms for Optimizing the Parameter Design of Solar Energy Selective Absorption Film Continuous Sputtering Process)
- 陳同學(2010/9-2012/4), 整合HFMEA與六標準差手法於手術檢體採集運送流程之改善 (Integrating HFMEA into Six Sigma Methodology for Improving Surgical Specimens Acquisition Process)
- 王同學(2010/9-2012/6), 六標準差於工程服務業之應用:個案研究 (An Application of Six Sigma in Engineering Service Industry: A Case Study)
- 陳同學(2010/9-2012/6), 運用基因演算法發展差異性極大化之集成式分類器 (Using Genetic Algorithm to Optimize the Diversity of Classifier Ensemble)
- 王同學(2011/9-2013/7), 結合田口方法、類神經網路、期望函數與啟發式演算法於錫膏印刷製程參數設計之最佳化 (Combining Taguchi Methods, Neural Networks Desirability Function and Meta-Heuristic Algorithm for Optimizing the Parameter Design of Solder Paste Printing Process)
- 蔡同學(2011/9-2013/7), 高科技產業新產品開發階段之品質管制流程設計—以TFT-LCD光罩技術為例 (Quality Control Procedure Design in New Product Development Stage for High-Tech Industry and its Application to TFT-LCD Four-Mask Technology)
- 林同學(2012/9-2014/6), 應用馬氏田口系統於醫療急救之預測 (Applying MTS to Cardiopulmonary Resuscitation Prediction)
- 黃同學(2013/9-2015/5), 利用群集分析與信號雜音比分類品質屬性 (Using Clustering Analysis and SN Ratio to Classify Quality Attributes: An Empirical Test)
- 陳同學(2014/9-2016/5), 應用資料探勘技術於TFT-LCD面板邊框不均勻缺陷之偵測 (Applying Data Mining Techniques for the Detection of TFT-LCD Frame Mura Defects)
- 陳同學(2014/9-2016/5), 應用六標準差方法於筆記型電腦光碟機之結構強度特性改善 (Enhancing the ODD Anti-Compression Structural Strength of Notebook PC via Six Sigma Approach)
- 謝同學(2015/2-2016/5), 應用關聯規則於高速公路電子收費系統偵測之研究 (Applying Association Rules to Freeway ETC Detection)
- 林同學(2014/9-2016/7), 運用基因表達規劃法於支持向量機的規則萃取 (Rule Extraction from Support Vector Machines by Gene Expression Programming)
- 蓋亞德(2014/9-2016/7), 應用Kano模型、SERVQUAL量表與IPA所建立的服務品質評估架構之實證研究 (A service quality evaluation framework based on Kano model, SERVQUAL, and IPA- An empirical study)
- 胡同學(2014/9-2017/6), 整合支持向量機、決策樹與粗糙集於院內心跳停止急救事件之預測 (Predicting IHCA Based on Integration of Support Vector Machine, Decision Tree, and Rough Sets)
- 傅同學(2015/9-2017/6), 結合裝袋算法及減少多數抽樣法於馬氏-田口系統來解決非平衡資料問題 (Integrating Bagging and Under-Sampling with MTS to Alleviate the Class Imbalance Problem)
- 嚴同學(2015/9-2017/6), 應用六標準差於車床車削製程之改善 (Applying Six Sigma in Turning Process of Lathe: Case Study)
- 高同學(2015/9-2017/6), 應用品質工程方法於精密鑄造業之砂孔缺陷改善 (Applying Quality Engineering Methods to Reduce Sand Inclusions in Investment Casting Industry)
- 郭同學(2016/9-2018/6), 運用數值方法分析台灣國家品質獎與企業市場價值之關聯 (The Relationship between Taiwan National Quality Award and the Market Value of the Firm: Application of Analytical Approach)
- 董同學(2016/9-2018/6), 應用資料探勘技術於鑄造業製程參數最佳化 (Applying Data Mining Techniques for Process Parameter Optimization in Casting Industry)
- 蔡同學(2016/9-2018/6), 結合馬氏-田口系統與支持向量機於資料分類之研究 (Integrating MTS with SVM for Data Classification)
- 連同學(2017/9-2019/6), 運用超參數調優技巧建立深度神經網路來處理迴歸問題 (A Hyper-Parameters Tuning Procedure to Construct a Deep Neural Network for Regression Problems)
- 蔡同學(2017/9-2019/6), 應用機器學習的方法於RFID車輛偵測率的改善 (Using Machine Learning Approaches for Improving the Performance of RFID-based Vehicle Detection Rate)
- 李同學(2017/9-2019/7), 應用深度神經網路與基因演算法於LED點膠製程參數最佳化 (Apply Deep Neural Network and Genetic Algorithm in LED Industry Dispensing Process Parameter Optimization)
- 歐陽同學(2017/9-2019/7), 應用機器學習技術於車輛偵測-以ETC數據為例 (Machine Learning Techniques for Vehicle Detection based on ETC data)
- 莊同學(2017/9-2019/7), 應用計算智能於製程最佳化:案例分析 (Process Optimization by Using Computational Intelligence: Case Studies)
- 顏同學(2018/9-2020/6), 應應用卷積神經網路-支持向量機和遷移學習於自動缺陷判別 (Utilizing a Convolutional Neural Network-Support Vector Machine with Transfer Learning for Automatic Defect Classification)
- 黃同學(2018/9-2020/6), 應用卷積神經網路遷移學習與資料擴增方法於產品瑕疵之分類 (Product Detect Classification Using CNN Transfer Learning and Data Augmentation)
- 王同學(2018/9-2020/6), 運用深度學習與基因演算法於半導體封裝製程參數之最佳化 (Semiconductor Packaging Process Optimization Using Deep Neural Networks and Genetic Algorithm)
- 邱同學(2018/9-2020/7), ARIMA和深度神經網路的混合模型預測eTag偵測率 (A Hybrid ARIMA and Deep Neural Network Model to Forecast eTag Detection Rate)
- 許同學(2018/9-2020/7), 應用基於遷移學習之卷積神經網路缺陷分類:比較研究 (Transfer Learning from CNN for Defect Classification: A Comparison Study)
- 彭同學(2019/9-2021/6), 運用集成深度神經網路於太陽能發電量之預測 (Photovoltaic Generation Prediction based on Ensemble Deep Neural Networks)
- 林同學(2019/9-2021/6), 應用卷積神經網路遷移學習與深度卷積對抗生成網路於產品瑕疵之分類 (Product Defect Classification using Convolutional Neural Network with Transfer Learning and Deep Convolutional Generative Adversarial Network)
- 張同學(2019/9-2021/6), 應用類神經網路結合基因演算法於半導體熔噴技術製程最佳化 (Melt-blown Process Optimization Based on Integration of Neural Network and Genetic Algorithm)
- 程同學(2019/9-2021/6), 運用神經網路與基因演算法於熱塑性聚胺酯產品耐磨耗之改善 (Abrasion Loss Improvement of Thermoplastic Polyurethane Using Neural Network and Genetic Algorithm)
- 洪同學(2019/9-2021/6), 品質4.0:利用數位化轉型追求卓越 (Quality 4.0: Through Digital Transformation to Pursuit Excellence)
- 左同學(2020/9-2022/7), 運用卷積神經網路建構性騷擾語音辨識系統 (Sexual Harassment Speech Recognition System using Convolutional Neural Networks)
- 黃同學(2020/9-2022/7), 多元分析在顧客投訴產品判定之應用的比較研究 (A Comparative Study on the Application of Multivariate Analysis to the Judgment of Customer Complaint Products)
- 黃同學(2020/9-2022/7), 應用神經網路與啟發式演算法於點膠製程最佳化 (Dispensing Process Optimization using Neural Network and Heuristic Algorithm)
- 黃同學(2021/9-2023/7), 結合類神經網絡與啟發式演算法於晶圓背面研磨製程之多目標最佳化 (Multi-objective Optimization of Wafer Back Grinding Process using Neural Network and Heuristic Algorithm)
- 劉同學(2021/9-2023/7), 應用馬氏田口系統與機器學習於肺部結節分類之比較研究 (Applying MTS and Machine Learning for the Classification of Lung Nodules: A Comparative Study)
- 王同學(2021/9-2023/7), 結合特徵選擇與集成學習模型於預測問題之研究 (Combining Feature Selection and Ensemble Learning Models to Prediction Problems)
- 鍾同學(2022/2-2023/12), 應用深度學習網路於熱門美食圖片預測 (Applying Deep Learning Networks for Predicting Classification of Popular Food Posts on Social Media)