Tsz-Wun Tsang
Biographic Data
| ID | 7898637 |
|---|---|
| NAME | Tsz-Wun Tsang |
| GIVEN NAMES | Tsz-Wun |
| FAMILY NAME | Tsang |
| SIGNATURE | TSANG T |
| AFFILIATIONS | Hong Kong Polytechnic University |
| ORCID | 0000-0001-9866-4531 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Updating Indoor Air Quality (IAQ) Assessment Screening Levels with Machine Learning Models
Indoor air quality (IAQ) standards have been evolving to improve the overall IAQ situation. To enhance the performances of IAQ screening models using surrogate parameters in identifying unsatisfactory IAQ, and to update the screening models such that they can apply to a new standard, a novel framework for the updating of screening levels, using machine learning methods, is proposed in this study. The classification models employed are Support Vec…
Evaluation of Indoor Air Quality Screening Strategies
Conducting a full indoor air quality (IAQ) assessment in air-conditioned offices requires large-scale material and manpower resources. However, an IAQ index can be adopted as a handy screening tool to identify any premises (with poor IAQ) that need more comprehensive IAQ assessments to prioritize IAQ improvements. This study proposes a step-wise IAQ screening protocol to facilitate its cost-effective management among building owners and managers.…
No prominent works on this page.
Evaluation of Indoor Air Quality Screening Strategies
Conducting a full indoor air quality (IAQ) assessment in air-conditioned offices requires large-scale material and manpower resources. However, an IAQ index can be adopted as a handy screening tool to identify any premises (with poor IAQ) that need more comprehensive IAQ assessments to prioritize IAQ improvements. This study proposes a step-wise IAQ screening protocol to facilitate its cost-effective management among building owners and managers.…
Updating Indoor Air Quality (IAQ) Assessment Screening Levels with Machine Learning Models
Indoor air quality (IAQ) standards have been evolving to improve the overall IAQ situation. To enhance the performances of IAQ screening models using surrogate parameters in identifying unsatisfactory IAQ, and to update the screening models such that they can apply to a new standard, a novel framework for the updating of screening levels, using machine learning methods, is proposed in this study. The classification models employed are Support Vec…
Air Quality and Health Impacts (2 works) · Indoor air quality (2 works) · Air Quality Monitoring and Forecasting (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Computer Science (1 work) · Decision tree (1 work) · Engineering (1 work) · Environmental Engineering (1 work) · Environmental Science (1 work)