Autors: Gill E.Z., Cangelmi L., Cellini P., Zaldei A., Draganov, I. R., Cardone D., Amelio A.
Title: Air Pollution Forecasting at Construction Sites: An Intelligent Comparative Framework
Keywords: Artificial intelligence, Artificial neural network, Construction site, Ensemble learning, Pollution

Abstract: We propose a novel framework for predicting various air pollutants 12-hours ahead at construction sites. The framework utilizes two predictive models, comparing their performances. An experiment conducted on data acquired from sensor stations at a construction site proves that each model can be used to predict certain types of pollutants.

References

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Issue

60th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2025 - Proceedings, 2025, Macedonia, https://doi.org/10.1109/ICEST66328.2025.11098263

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus