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CEST Proceedings are published under the ISSN 2944-9820.
A versatile decision-support tool to assess air quality and health effects
(Corresponding) Relvas H., Ferreira J., Lopes D., Rafael S., Almeida S., Diapouli E., Miranda A.
Topic:
Air pollution
This work presents a web-based policy tool for the development of effective particulate matter (PM) pollution strategies. The tool is based on an integrated modelling approach, from emissions to health effects, which allows testing measures to improve air quality, focused on PM2.5 levels, and...Read more
A Deep Learning Model, interpreted with an XAI technique, to simulate and optimize the remediation of oil-drilling cuttings in bubble flow reactors
Kalari K., Christodoulis K., Bali N., Theodoropoulou M., (Corresponding) Tsakiroglou C.
Topic:
Environmental data analysis and modelling
A multitask deep neural network (DNN) is developed to simulate the ozonation of oil-drilling cuttings (ODC) and is interpreted through a technique of explainable artificial intelligence (XAI) to provide knowledge about the experimental conditions that will maximize the decontamination of ODC. On a...Read more
Artificial Neural Network prediction of citizens' climate mitigation perception related to urban green infrastructure: The Case of Drama City in Greece:
(Corresponding) KAZANA V., RAPTIS D., CHRYSANTHIDOU E., KAZAKLIS A., MOUMTZIDOU D., PAPADOPOULOU D.
Topic:
CITIZEN SCIENCE
Social perceptions and attitudes are important dimensions for the successful implementation of Green Infrastructure (GI) projects, as these are typically designed to improve environmental conditions and promote a green economy. This paper attempts to investigate social behavioral patterns of...Read more
Keywords:
Human Thermal Comfort, Artificial Neural Networks, urban green infrastructure, public perception, climate mitigation
