文宏達
姓名 |
文宏達 |
學歷 |
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專長 |
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經歷 |
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t2022043@o365.cyut.edu.tw |
研究室 |
V-406、V-109 |
研究室電話 |
7882、7923 |
專業證照名稱 |
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學術論著
一、科技部專題計畫、產學計畫等
[1] 渦輪風扇發動機全域操作性能預測與裝機推力計算軟體之開發(2/2)(計畫編號:79)- 112.1~112.12
[2] 軍用微型無人機開發(2/2)(計畫編號:80) 112.1~112.12
[3] 53/高速定翼機紅外線訊跡模擬技術建立之研究(1/2) 114.1-114.12
二、期刊論文
[1] Compressor performance prediction: gradient boosting regression model and sensitivity analysis Ijeecs Vol 37, No 2 February 2025
DOI: http://doi.org/10.11591/ijeecs.v37.i2
[2] Detection and Analysis of Aircraft Composite Material Structures Using UAV(Inventions 2024, 9(3), 47; https://doi.org/10.3390/inventions9030047)
[3] A study on nitrogen oxide emission prediction in Taichung thermal power plant using artificial intelligence (AI) model - International Journal of Hydrogen Energy, 2024 (https://doi.org/10.1016/j.ijhydene.2024.03.120)
[4] Using image analysis techniques to enhance TFT-LCD manufacturing yield through timely detection of PI alignment layer defects Microelectronics Reliability, 2023
(https://doi.org/10.1016/j.microrel.2023.115259)
[5] JT9D Engine Thrust Estimation and Model Sensitivity Analysis Using Gradient Boosting Regression Method Aerospace 2023, 10(7), 639; https://doi.org/10.3390/aerospace10070639
[6] An Analytic Study on Mathematical Modeling of Area-Pressure Relation of Jet Engine Convergent-Divergent Nozzles Journal of Aeronautics, Astronautics and Aviation, 2023
[7] Using XGBoost regression to analyze the importance of input features applied to an artificial intelligence model for the biomass gasification system -Inventions 2022, 7(4), 126; https://doi.org/10.3390/inventions7040126
三、國際研討會論文
[1] Core ML-Based Aircraft Skin Damage Detection System Using YOLO11(2024 6th International Conference on Control and Robotics (ICCR))
四、國內研討會論文
[1] 運用無人機檢測飛機外觀缺陷損傷:YOLOv9c自動化即時檢測技術Using Drones to Detect Exterior Defects and Damage on Aircraft: YOLOv9c Automated Real-Time Detection Technology
[2] 2024 中華民國航太學會學術研討會 台南,中華民國 113 年 12 月 7 日 2024 AASRC Conference
[3] 渦輪風扇發動機裝機推力計算程式之開發-第32屆國防科技學術研討會(2023)
[4] 以X-plane飛行模擬器軟體分析F-16戰機氣動力參數-2022 中華民國航太學會學術研討會