Geraldine-Winston / Wind-Energy-Potential-Mapping-using-deep-CNNs-on-spatial-temporal-data.Links
☆23Updated 8 months ago
Alternatives and similar repositories for Wind-Energy-Potential-Mapping-using-deep-CNNs-on-spatial-temporal-data.
Users that are interested in Wind-Energy-Potential-Mapping-using-deep-CNNs-on-spatial-temporal-data. are comparing it to the libraries listed below
Sorting:
- ☆20Updated 8 months ago
- ☆17Updated 8 months ago
- Geraldine-Winston / Lithological-Classification-from-Hyperspectral-Data-using-Deep-Learning-Autoencoders.☆19Updated 8 months ago
- ☆23Updated 8 months ago
- **Ocean-Temperature-Anomaly-Detection** uses historical and real-time sea surface temperature data to identify unusual warming or cooling…☆23Updated this week
- ☆24Updated this week
- ☆25Updated 8 months ago
- ☆25Updated 8 months ago
- Beckybams / Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-ChangeThe dynamic nature of forecasting shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and mac…☆22Updated 10 months ago
- ☆25Updated 8 months ago
- ☆23Updated 8 months ago
- AI-Based Coral Reef Health Assessment uses machine learning to analyze satellite imagery, sensor data, and underwater images to detect bl…☆23Updated last week
- AI-Powered Agroforestry Planning uses machine learning and data analytics to design sustainable tree–crop systems. By analyzing soil, cli…☆33Updated 3 weeks ago
- ☆25Updated 8 months ago
- **Summary (50 words):** Algal Bloom Forecasting uses machine learning to predict the occurrence and severity of algal blooms by analyzin…☆23Updated this week
- ☆24Updated 8 months ago
- **Precision-Irrigation-using-AI — 50-word Summary** Precision Irrigation using AI applies machine learning and sensor data to optimize w…☆23Updated 2 weeks ago
- ediPredict Nigeria is an innovative healthcare solution that uses advanced machine learning algorithms to identify possible diseases base…☆23Updated 8 months ago
- Crop Yield Prediction with Remote Sensing uses satellite-derived indicators and machine learning to estimate agricultural productivity. B…☆23Updated last week
- ☆25Updated 8 months ago
- ESG-Risk-Analysis-with-NLP utilizes Natural Language Processing to assess Environmental, Social, and Governance risks from text data. It …☆37Updated 3 months ago
- ☆24Updated 9 months ago
- AI for Waste Management Optimization uses machine learning to predict waste bin fill levels, optimize collection routes, and reduce opera…☆36Updated last month
- Smart Composting System uses IoT sensors and AI analytics to monitor organic waste, temperature, moisture, and decomposition rates. The s…☆33Updated last month
- Forest Fire Spread Modeling uses data-driven simulations to predict how wildfires propagate across landscapes. By analyzing factors like …☆32Updated 3 weeks ago
- AI-driven demand-side energy management optimizes how consumers use electricity by forecasting demand, shifting loads, and automating ene…☆41Updated 2 months ago
- ☆18Updated 8 months ago
- Soil Moisture Prediction from Satellite Data uses satellite-derived features and machine learning to estimate soil moisture levels accura…☆33Updated last month
- ☆25Updated 8 months ago
- ☆23Updated 8 months ago