21 |
국외 |
SCI(E)학술지 |
Building and Environment |
0360-1323 |
Multi-objective optimization of a time-delay compensated ventilation control system in a subway facility ? A harmony search strategy |
바로가기 |
22 |
국외 |
SCI(E)학술지 |
Journal of Hazardous Materials |
0304-3894 |
Transfer learning driven sequential forecasting and ventilation control of PM2.5 associated health risk levels in underground public facilities |
바로가기 |
23 |
국내 |
SCI(E)학술지 |
Applied Soft Computing Journal |
1568-4946 |
Soft sensor modeling of industrial process data using kernel latent variables-based relevance vector machine |
바로가기 |
24 |
국외 |
SCI(E)학술지 |
Building and Environment |
0360-1323 |
Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems |
바로가기 |
25 |
국외 |
SCI(E)학술지 |
Applied Energy |
0306-2619 |
A proactive energy-efficient optimal ventilation system using artificial intelligent techniques under outdoor air quality conditions |
바로가기 |
26 |
국외 |
SCI(E)학술지 |
Building and Environment |
0360-1323 |
Energy-efficient time-delay compensated ventilation control system for sustainable subway air quality management under various outdoor conditions |
바로가기 |
27 |
국외 |
SCI(E)학술지 |
Control Engineering Practice |
0967-0661 |
Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders |
바로가기 |
28 |
국외 |
SCI(E)학술지 |
SUSTAINABLE CITIES AND SOCIETY |
2210-6707 |
Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation |
바로가기 |
29 |
국외 |
SCI(E)학술지 |
Environmental Pollution |
0269-7491 |
Deep learning driven QSAR model for environmental toxicology: Effects of endocrine disrupting chemicals on human health |
바로가기 |
30 |
국외 |
SCI(E)학술지 |
Sustainability |
2071-1050 |
An Efficient Burst Detection and Isolation Monitoring System for Water Distribution Networks Using Multivariate Statistical Techniques |
바로가기 |