AI-RON MAN Wildfire Hazard Risk Assessment - Webapp
AI-RON MAN Wildfire Hazard Risk Assessment web application
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AI-RON MAN Wildfire Hazard Risk Assessment web application
Backend service of AI-RON MAN Wildfire Hazard Risk Assessment platform
The AI4CNC experiment is designed to develop a Federated Learning System Platform for CNC machines to estimate tool wear through AI models and secure data sharing. The main objective is to use data from TEKNOPAR's CNC machines and sensors to estimate tool...
UrbAlytics aims to bridge Artificial Intelligence with Earth Observations, producing information layers that can support city planners and decision-makers in the context of climate resilience and related challenges in urban areas. This research investigat...
This dataset contains a set of georeferenced labels used in the LIVE4ENV project for training and evaluating an AI model for land-cover classification in livestock farms. It includes 3 classes: - 0: non-productive areas - 1: woodland - 2: pasture
The main goal is to achieve excellence in the HELIOS public lighting remote management system, implemented in more than 40 cities in Spain. We will use AI to predict future breakdowns for both luminaire and eboxes. The necessary data is included.
Frontend of EO4NOWCAST Near Real-Time Soil Moisture Assessment and Pluvial Flood Nowcasting services
Backend of EO4NOWCAST Near Real-Time Soil Moisture Assessment and Pluvial Flood Nowcasting services
This dataset contains corrected PM10 measurements for Sofia Jan-May 2022 fetched from Sensor Community and calibrated with an Extremely Randomised Tree.
OPTIMAL for cOPernicus irrigaTION mAnagement tooLkit is a combination of state-of-the-art Machine Learning techniques that is designed to forecast environmental parameters which enable the delivery of irrigation needs intelligence. The model presented ...