Geraldine-Winston / Modeling-Coastal-Erosion-using-RNNs-and-shoreline-satellite-data.View external linksLinks
This project uses Recurrent Neural Networks (RNNs) to model and predict coastal shoreline changes over time. By training on historical satellite-derived shoreline data, the framework forecasts future erosion trends, supporting coastal management and mitigation strategies. It demonstrates the potential of deep learning in environmental monitoring…
☆28Jun 4, 2025Updated 8 months ago
Alternatives and similar repositories for Modeling-Coastal-Erosion-using-RNNs-and-shoreline-satellite-data.
Users that are interested in Modeling-Coastal-Erosion-using-RNNs-and-shoreline-satellite-data. are comparing it to the libraries listed below
Sorting:
- ☆23Jun 1, 2025Updated 8 months ago
- This project uses reinforcement learning to optimize renewable energy grid operations, balancing energy demand, solar and wind generation…☆37Jun 6, 2025Updated 8 months ago
- ☆23Jun 1, 2025Updated 8 months ago
- ☆23Jun 1, 2025Updated 8 months ago
- ☆16Jun 1, 2025Updated 8 months ago
- ☆22Jun 1, 2025Updated 8 months ago
- ☆17Jun 1, 2025Updated 8 months ago
- ☆23Jun 1, 2025Updated 8 months ago
- This project uses LSTM networks to predict reservoir properties like porosity from sequential well log data, enabling improved reservoir …☆28Jun 4, 2025Updated 8 months ago
- ☆24Jun 1, 2025Updated 8 months ago
- ☆23Jun 1, 2025Updated 8 months ago
- ☆24Jun 2, 2025Updated 8 months ago
- ☆17Jun 1, 2025Updated 8 months ago
- ☆23Jun 1, 2025Updated 8 months ago
- ☆20Jun 1, 2025Updated 8 months ago
- ☆19Jun 1, 2025Updated 8 months ago
- Harnessing deep learning and satellite imagery, this project unveils Urban Heat Island patterns with precision. By decoding thermal lands…☆29Jun 5, 2025Updated 8 months ago
- This project builds a machine learning-based simulation framework to predict urban resilience indices and recommend climate-resilient urb…☆26Jun 4, 2025Updated 8 months ago
- ☆22Jun 1, 2025Updated 8 months ago
- ☆18Jun 1, 2025Updated 8 months ago
- ☆22May 11, 2025Updated 9 months ago
- This project predicts PM2.5 air quality levels under changing climate conditions using a deep ensemble of neural networks, improving pred…☆38Jun 7, 2025Updated 8 months ago
- ☆23Jun 1, 2025Updated 8 months ago
- ediPredict Nigeria is an innovative healthcare solution that uses advanced machine learning algorithms to identify possible diseases base…☆23May 24, 2025Updated 8 months ago
- ☆19Jun 1, 2025Updated 8 months ago
- Climate Change Impact Analysis is a Python-based application designed to explore and analyze datasets related to temperature, precipitati…☆24Jan 16, 2025Updated last year
- The dynamic nature of forecasting shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and mac…☆22Mar 20, 2025Updated 10 months ago
- ☆24Apr 8, 2025Updated 10 months ago
- ☆19Jun 1, 2025Updated 8 months ago
- This project uses machine learning regression techniques to reconstruct paleoclimate conditions from proxy data such as isotope ratios, p…☆29Jun 4, 2025Updated 8 months ago
- ☆20Jun 1, 2025Updated 8 months ago
- A WhatsApp bot designed to provide Nigerian farmers with real-time agricultural information including weather forecasts, crop prices, pe…☆23Jun 4, 2025Updated 8 months ago
- ☆16Jun 1, 2025Updated 8 months ago
- ☆20Jun 1, 2025Updated 8 months ago
- **Ocean-Temperature-Anomaly-Detection** uses historical and real-time sea surface temperature data to identify unusual warming or cooling…☆23Jan 28, 2026Updated 2 weeks ago
- This project leverages an ensemble of deep learning models, including MLP, CNN, and LSTM, to predict biodiversity loss under various clim…☆25Jun 4, 2025Updated 8 months ago
- ☆23Apr 21, 2025Updated 9 months ago
- A WhatsApp bot designed to provide Nigerian farmers with real-time agricultural information including weather forecasts, crop prices, pe…☆35Jun 4, 2025Updated 8 months ago
- ☆19Jun 1, 2025Updated 8 months ago