Lei Dong, Haojie Zhu, Hanpeng Ren, Ting-Yu Lin(林庭瑜), Kuo-Ping Lin(林國平)* (2025.09). A novel lightweight MT-YOLO detection model for identifying defects in permanent magnet tiles of electric vehicle motors. Expert Systems with Applications, 288, 128247.
期刊論文
11筆資料 more...
Lei Dong, Haojie Zhu, Hanpeng Ren, Ting-Yu Lin(林庭瑜), Kuo-Ping Lin(林國平)* (2025.05). Developing YOLOv5s model with enhancement mechanisms for precision parts with irregular shapes. Advanced Engineering Informatics, 65, 103257.
Ting-Yu Lin(林庭瑜), Kuo-Chen Hung*, Josef Jablonsky, Kuo-Ping Lin(林國平) (2025.04). An Enhanced VIKOR and Its Revisit for the Manufacturing Process Application. CMC-Computers Materials & Continua, 83(2), 1901-1927.
Ting-Yu Lin(林庭瑜), Kuo-Chen Hung*, Josef Jablonsky, Kuo-Ping Lin(林國平) (2025.01). A Green Supplier Selection Through an MCDM Based Framework Under Fuzzy Environment. Mathematics, 13(3), 436.
Ya-Chi Hsu, Ting-Yu Lin(林庭瑜), Kuo-Ping Lin(林國平), Yu-Tse Tsan, Kuo-Chen Hung (2024.12). Evaluating infant development through a novel hybrid intuitionistic fuzzy classification system. Applied Soft Computing, 169, 112639.
Hsing-Chin Chien, Ting-Yu Lin(林庭瑜), Kuo-Ping Lin(林國平)*, Trang Cam Hoang, Hoa Anh Tran, Hsiang-Yun Wang, Hui-Mei Huang, Shyue-Yow Chiou (2023.12). Developing Seasonal Z-Number Regression for Waste Disposal Forecasting in A Taiwan Hospital. Applied Soft Computing, 152, 111196.
Kuen-Suan Chen, Ting-Yu Lin(林庭瑜), Kuo-Ping Lin(林國平)*, Ping-Teng Chang, Yu-Chen Wang (2023.11). Developing a Novel Long Short-Term Memory Networks with Seasonal Wavelet Transform for Long-term Wind Power Output Forecasting. International Journal of Computational Intelligence Systems, 16, 191.
Pi-Shan Shu, Chien-Chung Huang, Wei-Ting Sung, Han-Ting Tsai, Zih-Xin Wu, Ting-Yu Lin(林庭瑜), Kuo-Ping Lin(林國平)*, Gia-Shie Liu (2023.08). Optimal Adaptive Neuro-Fuzzy Inference System with Biogeography-Based Optimization for Numbers of COVID-19 Vaccination Prediction. Journal of Intelligent & Fuzzy Systems, 45, 4639-4650.
Ting-Yu Lin(林庭瑜), Kuo-Chen Hung*, Ping-Teng Chang(張炳騰) (2022.12). Airline Performance Challenge: Big Data Analysis and Resource Allocation Optimization for The Eva Air. International Journal of Information and Management Sciences, 33(4), 313-332.
Ting-Yu Lin(林庭瑜), Kuo-Chen Hung*, Kuo-Ping Lin(林國平), Jau-Shin Hon, Anthony Shun Fung Chiu (2022.09). Improved ELECTRE II Sustainability Assessment Framework in Power Generation Technological Evaluation. Journal of Intelligent & Fuzzy Systems, 43, 6405-6418.
Ting-Yu Lin(林庭瑜), Ping-Teng Chang(張炳騰)*, Kuo-Ping Lin(林國平), Miao-Tzu Chen (2022.07). Optimal Synthesis of Cogeneration Systems using Novel Instuitionistic Fuzzy P-graph. Management of Environmental Quality, 33(5), 1271-1289.
研討會論文
24筆資料 more...
Ya-Chi Chuang, Jimmy Chun-Ming Fu, Yuan-Yang Cheng, Ting-Yu Lin(林庭瑜) (2026.10). Predictors of Nasogastric Tube Removal Failure in Acute Ischemic Stroke Patients: Implications for ICU Early Rehabilitation Planning. Paper presented at The 10th Asia-Pacific Conference ICU Early Rehabilitation, Taipei City, Taiwan: Taiwan Society of Emergency & Critical Care Medicine, Taiwan Society of Critical Care Medicine.
Che Heng Lin, Wei Jhe Liu, Hua Yen Lin, Bing Feng Cai, Po Han Chen, Chun Jui Wang, Yu Ju Lin(林育儒),Ting Yu Lin(林庭瑜) (2026.04). An Air Quality Index Prediction Model Based on Machine Learning and Deep Learning: An Example of Taichung City. Paper presented at 2026 13th International Conference on Industrial Engineering and Applications, Kyoto, Japan: Science and Engineering Institute (SCIEI), National University of Singapore, Asia University, Patron with Korea University, Macau University of Science and Technology, Western Washington
University.
Yen Hung Lai, Jinu Tung Shiu, Chen Wei Hsu, Kuan Kai Yao, Yun Ting Tsai, You Chen Wang, Ting Yu Lin(林庭瑜) (2026.04). Comparative Study of Machine Learning Models for Forecasting Infectious Medical Waste Generation. Paper presented at 2026 13th International Conference on Industrial Engineering and Applications, Kyoto, Japan: Science and Engineering Institute (SCIEI), National University of Singapore, Asia University, Patron with Korea University, Macau University of Science and Technology, Western Washington University.
Wu Hung Hsu, Tzu I Tsai, Kuo Chen Hung, Ting Yu Lin(林庭瑜), I Jan Wang(王怡然) (2026.04). Optimization of Medical Waste Clearance Using a Fuzzy System Dynamics Model. Paper presented at 2026 13th International Conference on Industrial Engineering and Applications, Kyoto, Japan: Science and Engineering Institute (SCIEI), National University of Singapore, Asia University, Patron with Korea University, Macau University of Science and Technology, Western Washington University.
林庭瑜*、蔡子易、徐武鴻（2025.11）。植基模糊系統動態於醫療廢棄物之清運最佳化之研究。論文發表於2025中國工業工程學會年會暨學術研討會，國立高雄科技大學：社團法人中國工業工程學會、國立高雄科技大學工業工程與管理系。
林庭瑜*、吳宇柔、林哲亨（2025.11）。發展生成式AI結合長短期記憶模型於汽車銷售量預測。論文發表於2025中國工業工程學會年會暨學術研討會，國立高雄科技大學：社團法人中國工業工程學會、國立高雄科技大學工業工程與管理系。
林庭瑜*、王怡然、郭玥汝、賴彥宏（2025.11）。發展大型語言模型與機器學習於再製造工具機可靠度預測。論文發表於2025中國工業工程學會年會暨學術研討會，國立高雄科技大學：社團法人中國工業工程學會、國立高雄科技大學工業工程與管理系。
林國平*、林庭瑜、許雅淇、陳昱杰（2025.11）。整合模糊GoogLeNet與SE-Block於新生兒肺炎預測。論文發表於2025中國工業工程學會年會暨學術研討會，國立高雄科技大學：社團法人中國工業工程學會、國立高雄科技大學工業工程與管理系。
蔡昀廷、徐陳緯、王又晨、許鈞統、姚冠愷、林庭瑜*（2025.11）。結合機器學習與大型語言模型於醫療廢棄物預測之研究。論文發表於2025中國工業工程學會年會暨學術研討會，國立高雄科技大學：社團法人中國工業工程學會、國立高雄科技大學工業工程與管理系。
劉維哲、王均睿、蔡秉峯、陳柏翰、林華彥、林庭瑜*（2025.11）。基於機器學習與深度學習之空氣品質指標預測模型：以台中市為例。論文發表於2025中國工業工程學會年會暨學術研討會，國立高雄科技大學：社團法人中國工業工程學會、國立高雄科技大學工業工程與管理系。
林國平*、林庭瑜、陳敬涵（2025.11）。應用生成式AI與決策樹判讀MCI疾病。論文發表於2025中國工業工程學會年會暨學術研討會，國立高雄科技大學：社團法人中國工業工程學會、國立高雄科技大學工業工程與管理系。
林國平*、林庭瑜、曹生勳（2025.11）。應用深度學習方法預測通過國際認證後碳排量。論文發表於2025中國工業工程學會年會暨學術研討會，國立高雄科技大學：社團法人中國工業工程學會、國立高雄科技大學工業工程與管理系。
Ting-Yu Lin(林庭瑜), Yu-Jou Wu, Kuo-Ping Lin(林國平), Chih-Yuan Chu(朱治垣), Cheng-Fu Huang, Ping-Chen Chang (2025.06). Hybrid Forecasting: Using Generative AI and Deep Learning-based Time Series Model to Integrate Predictions. Paper presented at The International Conference for Production Research Asia Pacific Region, Hong Kong: International Foundation for Production Research, Research Institute for Advanced Manufacturing, The Hong Kong Polytechnic University.
林國平*、林庭瑜、陳奕翔、吳宇柔、蔡子易（2024.12）。結合模糊P-graph與多準則決策方法於汽電共生系統之研究。論文發表於2024第五屆台灣創新發明教育學會年會暨國際研討會及第22屆管理學術研討會，國立勤益科技大學：國立勤益科技大學管理學院、台灣創新發明教育學會、國立勤益科技大學資訊管理系。
Chiao-Chi Ou, Kuo-Ping Lin(林國平)*, Ting-Yu Lin(林庭瑜), Yun-Chi Liu (2024.11). Application of Deep Learning Models in Nailfold Capillaroscopy for Systemic Sclerosis: A Comparative Study. Paper presented at The 24th Asia-Pacific Industrial Engineering and Management Systems Conference, Chiang Mai Marriott Hotel, Chiang Mai City, Thailand: Asia Pacific Industrial Engineering and Management Society (APIEMS).
林國平*、林庭瑜、黃鼎翔、劉芸淇、陳昱杰（2024.11）。整合深度學習模型與Sugeno模糊積分辨識技術於甲褶微血管異常檢測。論文發表於2024中國工業工程學會年會暨2024半導體製造智慧國際研討會，國立臺北科技大學：國立臺北科技大學工業工程與管理系、社團法人中國工業工程學會。
林國平*、林庭瑜、鄭皓鴻、盧泇伶、蔡子易（2024.11）。探討批量分割與訂單合併下多目標綠色彈性零工式生產排程之研究。論文發表於2024第二十屆台灣作業研究學會年會暨國際研討會，國立成功大學：國立成功大學、台灣作業研究學會。
Yueh-Ju Kuo*, Kuo-Ping Lin(林國平), Ting-Yu Lin(林庭瑜) (2024.11). A Remanufacturing Machine Tools Reliability Prediction Models Based on Generative Artificial Intelligence Data and Deep Learning. Paper presented at The 24th Asia-Pacific Industrial Engineering and Management Systems Conference, Chiang Mai Marriott Hotel, Chiang Mai City, Thailand: Asia Pacific Industrial Engineering and Management Society (APIEMS).
林國平*、林庭瑜、陳俊瑋、陳敬涵（2024.11）。結合啟發式演算法與時間卷積網路之時間序列預測模型-以貴金屬價格為例。論文發表於2024中國工業工程學會年會暨2024半導體製造智慧國際研討會，國立臺北科技大學：國立臺北科技大學工業工程與管理系、社團法人中國工業工程學會。
林國平*、林庭瑜、曾靖婷、蔡子易（2024.11）。考量碳排放下醫療廢棄物經濟清運量之研究。論文發表於2024中國工業工程學會年會暨2024半導體製造智慧國際研討會，國立臺北科技大學：國立臺北科技大學工業工程與管理系、社團法人中國工業工程學會。
林國平*、林庭瑜、黃鼎翔、劉傑安、郭玥汝、蔡子易（2024.11）。最佳化直觀模糊預處理與GoogLeNet參數之圖像分類系統。論文發表於2024中國工業工程學會年會暨2024半導體製造智慧國際研討會，國立臺北科技大學：國立臺北科技大學工業工程與管理系、社團法人中國工業工程學會。
林國平*、林庭瑜、黃鼎翔、張錦華、林煒傑、蔡子易（2024.11）。多目標基因演算法及非凌越排序基因演算法求解混合型工廠排程結果比較-以飲料製造廠為例。論文發表於2024第二十屆台灣作業研究學會年會暨國際研討會，國立成功大學：國立成功大學、台灣作業研究學會。
Ya-Chi Hsu, Ting-Yu Lin(林庭瑜)*, Kuo-Ping Lin(林國平) (2024.10). Evaluating Infant Development through a Hybrid Intuitionistic Fuzzy Classification System. Paper presented at 2024 INFORMS Annual Meeting, Seattle Convention Center, Seattle, Washington, USA: Institute for Operations Research and the Management Sciences.
Tzu-I Tsai*, Yi-Hsiang Chen, Ting-Yu Lin(林庭瑜), Kuo-Ping Lin(林國平) (2024.10). Combining Fuzzy P-graph and Multi-Criteria Decision Making Method in the Case of Cogeneration System. Paper presented at 2024 INFORMS Annual Meeting, Seattle Convention Center, Seattle, Washington, USA: Institute for Operations Research and the Management Sciences.