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precipitation-prediction

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omidemam / PPTSA

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PPTSA (Precipitation Probabilistic Time Series Analysis) examines the statistical structure and predictability of precipitation, emphasizing the impulse-like nature of rainfall and its implications for forecasting. The study uses ~140 years of daily precipitation data from Central Park, New York City.

uncertainty lstm gaussian-processes lstm-neural-networks precipitation marked-point-process precipitation-data rainfall-prediction rainfall-data rainfall-frequency-analysis precipitation-prediction precipitation-analysis
  • Updated Jan 26, 2026
  • Jupyter Notebook

TouihriMedAmine / Water-Scarcity

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DROPLETS is a project developed as part of the AI Project course (AI Project__3IA3) at ESPRIT, under the course code ESE.INFIA0010__3IA3. This project demonstrates the application of artificial intelligence techniques in a real-world context, designed by 3IA students.

python machine-learning deep-learning tensorflow chatbot data-visualization pytorch resnet satellite-imagery unet climate-change environmental-monitoring nasa-data ndvi deforestation cnn-classification convlstm precipitation-prediction llm drought-prediction
  • Updated May 19, 2025
  • Python

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