Artificial Intelligence and Environmental Challenges: Research Insights and Emerging Solutions

Poglavja

• Tree-based Machine Learning Methods for Wind Farm Data
  Manohar Gowdru Shridhara, Ľubomír Antoni, Gabriel Semanišin
  DOI: https://doi.org/10.18690/um.fov.5.2026.1
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• Edge AI

  Small Language Models on the Go
  Joachim J. Włodarz
  DOI: https://doi.org/10.18690/um.fov.5.2026.2
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• Supervised Machine Learning for Renewable Energy
  Dijana Oreški, Vjeran Strahonja, Marija Pokos Lukinec
  DOI: https://doi.org/10.18690/um.fov.5.2026.3
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• Financing Green Solutions

  Asset Returns and Tail Risks
  Eugenijus Gabrielius Ivanauskas, Liepa Urbonaitė, Saulius Jokubaitis
  DOI: https://doi.org/10.18690/um.fov.5.2026.4
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• Fault Detection in Solar Power Plants Based on Energy Production Data
  Dominykas Vilčinskas, Lukas Voveris, Jolita Bernatavičienė
  DOI: https://doi.org/10.18690/um.fov.5.2026.5
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• Machine Learning for Air Quality and CO2 Emissions

  The Role of Data Understanding
  Agnieszka Głowacka, Bartosz Dziewit, Paulina Trybek
  DOI: https://doi.org/10.18690/um.fov.5.2026.6
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• Nanoplastics and Biostructures

  Exploring the Capabilities of MD Computer Simulations
  Jakub Kraus, Piotr Mika, Mateusz Wiśniewski, Zbigniew Dendzik
  DOI: https://doi.org/10.18690/um.fov.5.2026.7
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• Modeling Heat Transfer in an Urban Settlement with 3D Cellular Automata and Artificial Intelligence
  Robert Leskovar
  DOI: https://doi.org/10.18690/um.fov.5.2026.8
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