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    Development of prescriptive AnalYtics baseD on aRtificial intElligence for iAMS
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    IAMS - Intelligent Asset Management Systems
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    We put Artificial Intelligence at work for Railways
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    Make your (Day)Dreams a reality

Overview

The overall DAYDREAMS objective is to move forward the integration and use of data and artificial/human trustworthy intelligence together with context-driven HMI for prescriptive Intelligent Asset Management Systems (IAMS) in railway by (i) advancing in maintenance approach towards prescriptive asset management, (ii) improving the decision-making process by developing multi-objective decision optimisation approaches taking into account all implications of IAMS decisions in the railway environment, and (iii) reinforcing the role of the person-in-the-loop by designing and developing advanced context-driven HMIs to allow context- and risk-aware multiple-options decision-making processes.

LATEST NEWS

21

PAPER ACCEPTED FOR ESANN2022 CONFERENCE

Click HERE To read the paper that was published for the ESANN2022 conference titled: Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets

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PAPER ACCEPTED FOR SYSINT2022 CONFERENCE

Click HERE To read the paper that was published for the SysInt2022 conference titled: Simple Non Regressive Informed MachineLearning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment

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The project’s first Newsletter is out!

Click HERE to read the project’s 1st newsletter and find out more about the latest achievements.

LATEST EVENTS

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SysInt2022

6th International Conference on System-Integrated Intelligence. Intelligent, flexible and connected systems in products and production

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InnoTrans2022

InnoTrans is the leading international trade fair for transport technology and takes places every two years in Berlin. The thirteenth InnoTrans will take place from 20 to 23 September 2022.

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ESANN2022

30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

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