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Breast cancer segmentation by ML models integrating Docker
In this hackathon, we focused on applying supervised machine learning methods, specifically utilizing the Linear Regression for Neural Networks model, to solve the 2-D shallow water equations.
Using Geo AI and predictive analytics against climate change-induced bushfires in the Bahamas including historical, present and futuristic context in the form of a interactive dashboard.
#spatialdata #webapp #arcgis #leaflet #js
Explainable AI for soybeans yield prediction
How to get more information out of early crop yield prediction and see which times of the years and which features are critical for crop yield prediction using xAI
We provide an interactive dashboard which makes it fun to explore all aspects of crop modeling - From the input data, to the model theory and prediction process, to simulating possible scenarios.
Crop yield prediction with remote sensing and machine learning and exploring relations with explainable AI in Time Series
