Soft computing applications in air quality modeling: Past, present, and future

MM Rahman, M Shafiullah, SM Rahman… - Sustainability, 2020 - mdpi.com
Air quality models simulate the atmospheric environment systems and provide increased
domain knowledge and reliable forecasting. They provide early warnings to the population …

Identification and selection of building façade's smart materials according to sustainable development goals

A Balali, A Valipour - Sustainable Materials and Technologies, 2020 - Elsevier
Buildings consume vast amounts of energy and pollute the environment in various ways.
Façade is a part of building's architecture that can play a significant role in reducing energy …

Application of a multi-stage neural network approach for time-series landfill gas modeling with missing data imputation

B Fallah, KTW Ng, HL Vu, F Torabi - Waste Management, 2020 - Elsevier
To mitigate the greenhouse gas effect, accurate and precise landfill gas prediction models
are required for more precise prediction of the amount and recovery time of methane gas …

Application of hybrid SWARA–BIM in reducing reworks of building construction projects from the perspective of time

H Khalesi, A Balali, A Valipour, J Antucheviciene… - Sustainability, 2020 - mdpi.com
One of the major issues of the construction industry has been the “reworks” that affect the
time, quality, and cost of projects. Therefore, reworks and the ineffective use of site …

[HTML][HTML] Dynamic modelling of the biomass gasification process in a fixed bed reactor by using the artificial neural network

D Cerinski, J Baleta, H Mikulčić, R Mikulandrić… - Cleaner Engineering …, 2020 - Elsevier
Biomass gasification enables the transformation of biomass feedstock into syngas suitable
for further energy conversions. Mathematical models of gasification are not only valuable …

A data calibration method for micro air quality detectors based on a LASSO regression and NARX neural network combined model

B Liu, Y Jin, D Xu, Y Wang, C Li - Scientific Reports, 2021 - nature.com
Studies have shown that there is a certain correlation between air pollution and various
human diseases, especially lung diseases, so it is very meaningful to monitor the …

Predicting the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing …

Z Ebrahimi-Khusfi, R Taghizadeh-Mehrjardi… - Atmospheric Pollution …, 2021 - Elsevier
This study was conducted to evaluate the performance of the support vector regression
(SVR) model with and without applying wavelet transformation for predicting the PM10, PM2 …

Towards on-site implementation of multi-step air pollutant index prediction in Malaysia industrial area: Comparing the NARX neural network and support vector …

R Mustakim, M Mamat, HT Yew - Atmosphere, 2022 - mdpi.com
Malaysia has experienced public health issues and economic losses due to air pollution
problems. As the air pollution problem keeps increasing over time, studies on air quality …

Non-linear Time Series Prediction using Improved CEEMDAN, SVD and LSTM

S Poongadan, MC Lineesh - Neural Processing Letters, 2024 - Springer
This study recommends a new time series forecasting model, namely ICEEMDAN-SVD-
LSTM model, which coalesces Improved Complete Ensemble EMD with Adaptive Noise …

Evaluating the economic feasibility of designing zero carbon envelope buildings: a case study of a commercial building in Iran

Z Keshavarz Moraveji, G Heravi, M Rostami - Iranian Journal of Science …, 2022 - Springer
The building sector's significant contribution to CO2 emissions and its aggravating trend is
recognized as a global challenge. Consequently, Zero Carbon Buildings' development …