Yeng Chai Soh
- (2017): Comparing occupancy models and data mining approaches for regular occupancy prediction in commercial buildings. In: Journal of Building Performance Simulation, v. 10, n. 5-6 (October 2017).
- (2005): HVAC system optimization—in-building section. In: Energy and Buildings, v. 37, n. 1 (January 2005).
- (2015): Modeling regular occupancy in commercial buildings using stochastic models. In: Energy and Buildings, v. 103 (September 2015).
- (2016): Indoor occupancy estimation from carbon dioxide concentration. In: Energy and Buildings, v. 131 (November 2016).
- (2016): A fusion framework for occupancy estimation in office buildings based on environmental sensor data. In: Energy and Buildings, v. 133 (December 2016).
- (2017): Occupancy estimation with environmental sensing via non-iterative LRF feature learning in time and frequency domains. In: Energy and Buildings, v. 141 (April 2017).
- (2017): Balancing indoor thermal comfort and energy consumption of ACMV systems via sparse swarm algorithms in optimizations. In: Energy and Buildings, v. 149 (August 2017).
- (2017): Two-stage indoor physical field reconstruction from sparse sensor observations. In: Energy and Buildings, v. 151 (September 2017).
- (2018): Thermal comfort prediction using normalized skin temperature in a uniform built environment. In: Energy and Buildings, v. 159 (January 2018).
- (2018): A novel feature selection framework with Hybrid Feature-Scaled Extreme Learning Machine (HFS-ELM) for indoor occupancy estimation. In: Energy and Buildings, v. 158 (January 2018).
- (2018): Random forest based thermal comfort prediction from gender-specific physiological parameters using wearable sensing technology. In: Energy and Buildings, v. 166 (May 2018).
- (2020): Bayesian filtering for building occupancy estimation from carbon dioxide concentration. In: Energy and Buildings, v. 206 (January 2020).
- (2020): Machine learning driven personal comfort prediction by wearable sensing of pulse rate and skin temperature. In: Building and Environment, v. 170 (March 2020).
- (2017): Modeling and optimization of different sparse Augmented Firefly Algorithms for ACMV systems under two case studies. In: Building and Environment, v. 125 (November 2017).
- (2017): CFD results calibration from sparse sensor observations with a case study for indoor thermal map. In: Building and Environment, v. 117 (May 2017).
- (2000): Optimal control of seismically-excited building structures. In: Computers & Structures, v. 74, n. 5 (February 2000).
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