AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Artificial Intelligence …, 2023 - Springer
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

A review on indoor environment quality of Indian school classrooms

NR Kapoor, A Kumar, T Alam, A Kumar, KS Kulkarni… - Sustainability, 2021 - mdpi.com
The progress of Indoor Environmental Quality (IEQ) research in school buildings has
increased profusely in the last two decades and the interest in this area is still growing …

A novel deep learning model integrating CNN and GRU to predict particulate matter concentrations

Z Guo, C Yang, D Wang, H Liu - Process Safety and Environmental …, 2023 - Elsevier
PM 2.5 is a significant environmental pollutant that damages the environment and
endangers human health. Precise forecast of PM 2.5 concentrations is very important to …

Predictive models for daylight performance of general floorplans based on CNN and GAN: A proof-of-concept study

Q He, Z Li, W Gao, H Chen, X Wu, X Cheng… - Building and …, 2021 - Elsevier
A daylight performance evaluation at the early design stage is essential for a building
morphology design and optimization, having a tremendous influence on energy …

Business demand for a cloud enterprise data warehouse in electronic healthcare computing: Issues and developments in e-healthcare cloud computing

A Onyebuchi, UO Matthew, JS Kazaure… - International Journal of …, 2022 - igi-global.com
Cloud enterprise data warehousing is a top level strategic business and information
technology (IT) investment initiative in any organization that is technologically inclined, profit …

Kernel PLS with AdaBoost ensemble learning for particulate matters forecasting in subway environment

J Wang, Y Lu, C Xin, CK Yoo, H Liu - Measurement, 2022 - Elsevier
Excessive exposure to hazardous air pollutants remains the leading cause of serious cardio-
respiratory disease among commuters. To monitor and improve the air quality in time, soft …

Missing data imputation on IoT sensor networks: Implications for on-site sensor calibration

NU Okafor, DT Delaney - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
IoT sensors are becoming increasingly important supplement to traditional monitoring
systems, particularly for in-situ based monitoring. Data collected using IoT sensors are often …

Imputing missing indoor air quality data with inverse mapping generative adversarial network

Z Wu, C Ma, X Shi, L Wu, Y Dong… - Building and …, 2022 - Elsevier
Sensors deployed all over the buildings are nowadays collecting a large amount of data,
such as the Indoor Air Quality (IAQ) data which can provide valuable suggestions on …

A hybrid extreme learning machine and deep belief network framework for sludge bulking monitoring in a dynamic wastewater treatment process

U Safder, J Loy-Benitez, HT Nguyen, CK Yoo - Journal of Water Process …, 2022 - Elsevier
In biological wastewater treatment plants (WWTPs), sludge thickening is a common problem
with major economic and environmental effects. Monitoring the sludge volume index (SVI) is …

Tropical climates and the interplay between IEQ and energy consumption in buildings: A review

A Verma, V Gupta, K Nihar, A Jana, RK Jain… - Building and …, 2023 - Elsevier
Indoor environmental quality (IEQ) can impact human health, well-being, and productivity.
This paper reviews the couplings between IEQ which consists of thermal, acoustic, visual …