- Inverse machine learning framework for optimizing gradient honeycomb structure under impact loading. Dans: Engineering Structures, v. 309 (juin 2024). (2024):
- Blast mitigation effects of TPU polymers-based inflated membrane structures under external explosion. Dans: Construction and Building Materials, v. 427 (mai 2024). (2024):
- Study on the mechanical properties and ballistic resistance of interface-modified fabrics with environmentally friendly shear thickening liquid. Dans: Composite Structures, v. 337 (juin 2024). (2024):
- Chiller fault diagnosis based on improved variational autoencoder and co-training framework: A case study of insufficient samples. Dans: Journal of Building Engineering, v. 88 (juillet 2024). (2024):
- An interpretable feature selection method integrating ensemble models for chiller fault diagnosis. Dans: Journal of Building Engineering, v. 87 (juin 2024). (2024):
- AI and IoT applications of smart buildings and smart environment design, construction and maintenance. Dans: Building and Environment, v. 229 (février 2023). (2023):
- Data-driven prediction and optimization of residential building performance in Singapore considering the impact of climate change. Dans: Building and Environment, v. 226 (décembre 2022). (2022):
- A solar forecasting framework based on federated learning and distributed computing. Dans: Building and Environment, v. 225 (novembre 2022). (2022):
- A model developed for predicting thermal comfort during sleep in response to appropriate air velocity in warm environments. Dans: Building and Environment, v. 223 (septembre 2022). (2022):
- Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms. Dans: Building and Environment, v. 218 (juin 2022). (2022):
- Comparison of models for predicting winter individual thermal comfort based on machine learning algorithms. Dans: Building and Environment, v. 215 (mai 2022). (2022):
- Probabilistic graphical models in energy systems: A review. Dans: Building Simulation, v. 15, n. 5 (octobre 2021). (2021):
- Characteristics and comfort evaluation of sinusoidal airflows by regulating motor rotating frequency of a floor fan. Dans: Building Simulation, v. 15, n. 6 (décembre 2021). (2021):
- Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings. Dans: Energy and Buildings, v. 252 (décembre 2021). (2021):
- Chiller fault detection and diagnosis with anomaly detective generative adversarial network. Dans: Building and Environment, v. 201 (août 2021). (2021):
- ARX model based fault detection and diagnosis for chillers using support vector machines. Dans: Energy and Buildings, v. 81 (octobre 2014). (2014):
- Robust model-based fault diagnosis for air handling units. Dans: Energy and Buildings, v. 86 (janvier 2015). (2015):
- Unsupervised learning for fault detection and diagnosis of air handling units. Dans: Energy and Buildings, v. 210 (mars 2020). (2020):
- Semi-supervised learning for early detection and diagnosis of various air handling unit faults. Dans: Energy and Buildings, v. 181 (décembre 2018). (2018):
- Generative adversarial network for fault detection diagnosis of chillers. Dans: Building and Environment, v. 172 (avril 2020). (2020):