S-X-AIPI Pharma Use Case Process Model
A neural network-based time-series forecasting model for concentrations of an electrochemical reaction.
A neural network-based time-series forecasting model for concentrations of an electrochemical reaction.
Using a unique dataset, comprising historical maritime data for different vessel voyages, including vessel type, voyage information and environmental factors, we employ decision trees, a number of regression, and artificial neural network algorithms for p...
Natural Disaster Management (NDM) is a complex task, requiring a plethora of different methods to facilitate it. Artificial Intelligence (AI) can be instrumental in this cause, by providing quick and reliable solutions to many problems related to NDM, suc...
The agricultural use case involved the cultivation of vineyards, with an end user in France that produces agricultural machinery. The agricultural use case demonstrated how AI can enable an enterprise not only to enhance its business-related activities,...
This use case was focused on the maintenance and inspection of the large turbines that are used for the (highly renewable) generation of electric power from wind. The inevitable damage to the turbines from the exposure to the elements can lead to expensiv...
Healthcare represents one of the most promising areas for innovative applications exploiting the computing continuum, and the concept of personalised healthcare is becoming a reality through AI-enabled functionality. The specific focus of this use case wa...
SPACE4AI-R : runtime management tool for aI applications component placement and resource selection in computing continua
This project contains the design environment project structure of an AI-SPRINT application. Furthermore, it contains the initial version of the AI-SPRINT parsers.