Conference proceedings

Displaying 1 - 2 of 2 in Environmental data analysis and modelling (remove filter), neural (remove filter), learning (remove filter)

CEST Proceedings are published under the ISSN 2944-9820.

Nonlinear Autoregressive Neural Networks for Air Temperature forecasting

Philippopoulos K., (Corresponding) Tzanis C., Deligiorgi D., Alimissis A.

Topic:

Environmental data analysis and modelling

In the field of climatic conditions forecasting, the linear classical time series models are inadequate for modelling and predicting accurately the air temperature variability. This work presents the novel application of nonlinear autoregressive neural networks (NAR) in air temperature forecasting...Read more

Keywords:

Air temperature, Machine Learning, Artificial Neural Networks, Dynamic Neural Networks, Forecasting

DOI:

https://doi.org/10.30955/gnc2021.00485

Conference:

CEST2021

Paper ID:

cest2021_00485

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

Keywords:

Ozonation, Soil Remediation, Bubble Column Reactor, Deep Neural Networks, Multitask Learning, Explainable Artificial Intelligence.

DOI:

https://doi.org/10.30955/gnc2023.00166

Conference:

CEST2023

Paper ID:

cest2023_00166