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"ngo ngo n t"的相关文件
显示项目 1-11 / 11 (共1页) 1 每页显示[10|25|50]项目
國立臺灣科技大學 |
2020 |
Evolutionary bi-level model for optimizing ticket fares and operations profit of Taiwan high-speed rail
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Chou, J.-S.;Ongkowijoyo, C.S.;Ngo, Ngo N.-T.;Chen, S.-Y. |
國立臺灣科技大學 |
2019 |
Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models
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Chou, J.-S.;Pham, T.-P.-T.;Nguyen, T.-K.;Pham, A.-D.;Ngo, Ngo N.-T. |
國立臺灣科技大學 |
2019 |
Hybrid Machine Learning System to Forecast Electricity Consumption of Smart Grid-Based Air Conditioners
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Chou, J.-S.;Hsu, S.-C.;Ngo, Ngo N.-T.;Lin, C.-W.;Tsui, C.-C. |
國立臺灣科技大學 |
2019 |
Intelligent Monitoring for Efficient Use of Energy in Buildings
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Chou, J.-S.;Ngo, Ngo N.-T. |
國立臺灣科技大學 |
2017 |
Modified firefly algorithm for multidimensional optimization in structural design problems
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Chou, J.-S;Ngo, Ngo N.-T. |
國立臺灣科技大學 |
2016 |
Closure to "shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression" by Jui-Sheng Chou, Ngoc-Tri Ngo, and Anh-Duc Pham
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Chou, J.-S;Ngo, Ngo N.-T;Pham, A.-D. |
國立臺灣科技大學 |
2016 |
Smart grid data analytics framework for increasing energy savings in residential buildings
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Chou, J.-S;Ngo, Ngo N.-T. |
國立臺灣科技大學 |
2016 |
Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns
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Chou, J.-S;Ngo, Ngo N.-T. |
國立臺灣科技大學 |
2016 |
The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate
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Chou, J.-S;Ngo, Ngo N.-T;Chong, W.K. |
國立臺灣科技大學 |
2016 |
Erratum: Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression (Journal of Computing in Civil Engineering (DOI:10.1061/(ASCE)CP.1943-5487.0000466))
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Chou, J.-S;Ngo, Ngo N.-T;Pham, A.-D. |
國立臺灣科技大學 |
2016 |
Engineering strength of fiber-reinforced soil estimated by swarm intelligence optimized regression system
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Chou, J.-S;Ngo, Ngo N.-T. |
显示项目 1-11 / 11 (共1页) 1 每页显示[10|25|50]项目
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