Conference proceedings

Displaying 1 - 6 of 6 in CEST2025 (remove filter), 6. ARTIFICIAL INTELLIGENCE IN ENVIRONMENTAL APPLICATIONS (remove filter)

Below you can find the proceedings from the latest CEST conferences. You may filter by author or text and further filter by conference.

CEST Proceedings are published under the ISSN 2944-9820.

Estimation of Solar Irradiance for the Maltese Islands

Salerno J., (Corresponding) Micallef A., Gauci A.

Topic:

6. ARTIFICIAL INTELLIGENCE IN ENVIRONMENTAL APPLICATIONS

Solar energy is a promising renewable resource. Solar radiation modelling is essential for optimising its potential. This study replicates an existing model, namely, SOLAR, originally implemented in Fortran, and adapts it using MATLAB. The model estimates the hourly average solar irradiance under...Read more

Keywords:

solar radiation; model evaluation; Maltese Islands

DOI:

https://doi.org/10.30955/gnc2025.00274

Conference:

CEST2025

Paper ID:

cest2025_00274

UCI4SmartCity Project: Urban Cleanliness Index for Smart Cities

(Corresponding) Sousa S., Dias J., Alves M., Pereira M., Pires J.

Topic:

6. ARTIFICIAL INTELLIGENCE IN ENVIRONMENTAL APPLICATIONS

Public spaces accumulate residues from natural and human activities, impacting aesthetics and contributing to pollution. Street cleanliness shapes a city’s image, requiring significant resources. To improve cleaning efficiency, mechanisms are needed to identify cleanliness factors, support...Read more

Keywords:

Data Science; Decision Support Tools; Statistical Analysis; Urban Cleanliness Index.

DOI:

https://doi.org/10.30955/gnc2025.00323

Conference:

CEST2025

Paper ID:

cest2025_00323

Forest Resilience, Precipitation, and Ecosystem Service Value: A Correlation and Trend Analysis

Nwachukwu P., (Corresponding) Berti-Equille L.

Topic:

6. ARTIFICIAL INTELLIGENCE IN ENVIRONMENTAL APPLICATIONS

Ecosystem service value (ESV) is critical for understanding ecosystems' economic benefits and their responses to environmental change. This study uses Earth Observation (EO) data, statistics, and machine learning methods to evaluate ESV trends across multiple continents from 2000 to 2024...Read more

Keywords:

Forest, Landscape, Ecosystem, Service, Valuation.

DOI:

https://doi.org/10.30955/gnc2025.00053

Conference:

CEST2025

Paper ID:

cest2025_00053

Towards Optimal Building Retrofits: A Multi-Objective Optimisation Framework Using Genetic Algorithms and EnergyPlus

(Corresponding) Alexakis K., Benekis V., Kokkinakos P., Askounis D.

Topic:

6. ARTIFICIAL INTELLIGENCE IN ENVIRONMENTAL APPLICATIONS

The decarbonisation of the building sector requires the identification of optimal retrofit strategies that balance energy efficiency, cost, and indoor comfort. This paper presents the conceptual design of an integrated simulation pipeline that couples Genetic Algorithms (GAs) with dynamic building...Read more

Keywords:

Multi-objective optimization, Building retrofit, EnergyPlus, Microclimate weather data

DOI:

https://doi.org/10.30955/gnc2025.00309

Conference:

CEST2025

Paper ID:

cest2025_00309

Advancing Temperature Swing Solvent Extraction Desalination with Machine Learning

(Corresponding) Cairone S., Zarra T., Belgiorno V., Yip N., Naddeo V.

Topic:

6. ARTIFICIAL INTELLIGENCE IN ENVIRONMENTAL APPLICATIONS

The management of hypersaline wastewaters, including desalination brines, poses significant environmental and technical challenges. Temperature swing solvent extraction (TSSE) offers a promising solution by exploiting the temperature-dependent water affinity of low-polarity solvents, typically...Read more

Keywords:

Artificial intelligence, Data-driven modelling, Process optimization, Solvent-driven desalination

DOI:

https://doi.org/10.30955/gnc2025.00359

Conference:

CEST2025

Paper ID:

cest2025_00359

Artificial Intelligence in Public Administration for Environmental Sustainability: An Integrative Review of Research and Practice

(Corresponding) Aristovnik A., Ravšelj D., Babšek M.

Topic:

6. ARTIFICIAL INTELLIGENCE IN ENVIRONMENTAL APPLICATIONS

Artificial intelligence (AI) is increasingly utilized in public administration as a strategic enabler for achieving environmental sustainability and advancing progress toward the Sustainable Development Goals (SDGs). This study presents an integrative review of 3,107 peer-reviewed publications...Read more

Keywords:

artificial intelligence, public administration, environmental sustainability, integrative review

DOI:

https://doi.org/10.30955/gnc2025.00382

Conference:

CEST2025

Paper ID:

cest2025_00382