Early predicting cooling loads for energy-efficient design in office buildings by machine learning von Ngo, Ngoc-Tri

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Continuous-time Bayesian calibration of energy models using BIM and energy data von Chong, Adrian, Xu, Weili, Chao, Song, Ngo, Ngoc-Tri

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Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability von Pham, Anh-Duc, Ngo, Ngoc-Tri, Ha Truong, Thi Thu, Huynh, Nhat-To, Truong, Ngoc-Son

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Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns von Chou, Jui-Sheng, Ngo, Ngoc-Tri

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Enhancing building energy efficiency by adaptive façade: A computational optimization approach von Bui, Dac-Khuong, Nguyen, Tuan Ngoc, Ghazlan, Abdallah, Ngo, Ngoc-Tri, Ngo, Tuan Duc

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Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings von Ngo, Ngoc-Tri, Truong, Thi Thu Ha, Truong, Ngoc-Son, Pham, Anh-Duc, Huynh, Nhat-To, Pham, Tuan Minh, Pham, Vu Hong Son

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The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate von Chou, Jui-Sheng, Ngo, Ngoc-Tri, Chong, Wai K.

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Modified firefly algorithm for multidimensional optimization in structural design problems von Chou, Jui-Sheng, Ngo, Ngoc-Tri

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Smart grid data analytics framework for increasing energy savings in residential buildings von Chou, Jui-Sheng, Ngo, Ngoc-Tri

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Hybrid machine learning for predicting strength of sustainable concrete von Pham, Anh-Duc, Ngo, Ngoc-Tri, Nguyen, Quang-Trung, Truong, Ngoc-Son

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Forecasting Time-Series Energy Data in Buildings Using an Additive Artificial Intelligence Model for Improving Energy Efficiency von Truong, Ngoc-Son, Ngo, Ngoc-Tri, Pham, Anh-Duc

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Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression von Chou, Jui-Sheng, Ngo, Ngoc-Tri, Pham, Anh-Duc

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Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings von Ngo, Ngoc-Tri, Pham, Anh-Duc, Truong, Thi Thu Ha, Truong, Ngoc-Son, Huynh, Nhat-To

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Integration of support vector regression and grey wolf optimization for estimating the ultimate bearing capacity in concrete-filled steel tube columns von Ngo, Ngoc-Tri, Le, Hoang An, Pham, Thi-Phuong-Trang

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Engineering strength of fiber-reinforced soil estimated by swarm intelligence optimized regression system von Chou, Jui-Sheng, Ngo, Ngoc-Tri

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Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models von Chou, Jui-Sheng, Pham, Thi-Phuong-Trang, Nguyen, Thi-Kha, Pham, Anh-Duc, Ngo, Ngoc-Tri

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An Ensemble Machine Learning Model for Enhancing the Prediction Accuracy of Energy Consumption in Buildings von Ngo, Ngoc-Tri, Pham, Anh-Duc, Truong, Thi Thu Ha, Truong, Ngoc-Son, Huynh, Nhat-To, Pham, Tuan Minh

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Machine learning for predicting long-term deflections in reinforce concrete flexural structures von Pham, Anh-Duc, Ngo, Ngoc-Tri, Nguyen, Thi-Kha

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Hybrid Machine Learning System to Forecast Electricity Consumption of Smart Grid-Based Air Conditioners von Chou, Jui-Sheng, Hsu, Shu-Chien, Ngo, Ngoc-Tri, Lin, Chih-Wei, Tsui, Chia-Chi

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Implementing a web-based optimized artificial intelligence system with metaheuristic optimization for improving building energy performance von Ngo, Ngoc-Tri, Truong, Ngoc-Son, Truong, Thi Thu Ha, Pham, Anh-Duc, Huynh, Nhat-To

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