AI and climate change: how AI can help enhance adaptation and mitigation strategies
Attolico, Alessio Maria (A.A. 2023/2024) AI and climate change: how AI can help enhance adaptation and mitigation strategies. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 75. [Bachelor's Degree Thesis]
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Abstract/Index
Climate change. What is climate change? The economic side. Current measures against climate change. Artificial intelligence and machine learning. History and scope of AI & ML. Supervised learning. Unsupervised learning. Reinforcement learning. Deep learning. How can AI aid in the context of climate change? Future insights: building a model for climate forecasting. Introduction to the model. Dataset. Explanatory data analysis. Model definition and training. Analysis of the results. Identifying crucial areas. Future expectations of experts.
References
Bibliografia: pp. 71-74.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Artificial intelligence and machine learning |
| Thesis Supervisor: | Italiano, Giuseppe Francesco |
| Academic Year: | 2023/2024 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 03 Apr 2025 09:17 |
| Last Modified: | 03 Apr 2025 09:17 |
| URI: | https://tesi.luiss.it/id/eprint/41566 |
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