DIH4AI OC2 UOLD GIS and Satellite Anthropogenic Risk Evaluation OC2
Application access to the Anthropogenic Risk Evaluation platform using super resolution
Welcome to the AI Assets Catalog! Here you can browse, search and download all the assets currently indexed in the AI-on-Demand platform, including AI libraries, datasets, containers, and more. You are welcome to publish your own AI assets here! To do so, log in in to the platform, go to your dashboard and use the Submit new content button to access the submission forms.
Application access to the Anthropogenic Risk Evaluation platform using super resolution
SUPER RESOLUTED SENTINEL DATA WITH ACHIEVED RESOLUTION OF 2.5-3 M PX TO PX
Introducing ESFA (Empirical Season Forecast for Agriculture) – your reliable companion in long-term agricultural planning. Our validated AI algorithms, which outperform other state-of-the-art climate prediction models, are at the core of ESFA's capabiliti...
AI Model based on LSTM forecasting the Utilization and Energy Consumption of Charging Stations. We forecast the future activity/consumption/utilization/Customer-experience on EV Charging stations using LSTM timeseries forecasting yielding highly accurate ...
The main objective of the project is the creation of a module with the help of Web Scraping, Machine Learning and Artificial Intelligence techniques capable of recommending the recommended light intensity for the next day of the public lights of a city in...
Apache StreamPipes is a self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams. The Apache StreamPipes Python Client is a new library targeted at data scientists, which helps to easily interact...
Dataset of High-Resolution Currents [2KM] in the Mediterranean Sea for the year 2022, produced during the project AI4Copernicus ODFuse4Ship.
This dataset contains hyperspectral images of denim fabric over 224 reflectance bands. It was used to test automated composition analysis in the DIH4AI Open Call 2 FABCOD project (Fabric Composition Detector).