MRNEC-COGNIPLANT @ Realize Live
Mr. NeC attended Realize Live Europe 2023 event hosted by Siemens. During the event, we not only shared the latest results of our...
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Alfons Salden
Jan 9, 20234 min read
Deep Learning for Robust Rescheduling of Industrial Processes
Mr. NeC has recently developed a deep learning approach for understanding and predicting required changes in set points / controls such...
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Alfons Salden
Oct 29, 20222 min read
Rewards in Action for Deep Reinforcement Learning of Industrial Robotics
"Virtue is its own reward." (Socrates) In ACROBA a deep reinforcement learning agent forms so-to-speak the digital twin of a...
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Alfons Salden
Jul 19, 20221 min read
Deep Learning Kiln Stops at Scale
MRNEC recently developed within COGNIPLANT a methodology based on deep learning for predicting and preventing stops of parallel flow...
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Alfons Salden
Mar 31, 20222 min read
Prediction of machinery degradation in Cogniplant not so simple
On the one hand, MRNEC develops deep learning models to support the project's use case partners in better understanding and predicting...
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Alfons Salden
Mar 23, 202220 min read
Modern geometric reward functions for robot control in ACROBA
A flexible deep reinforcement learning agent reward / cost function and action control design on the basis of (repulsive and attractive)...
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Alfons Salden
Jan 18, 20221 min read
Let us be humble!
Working on COGNIPLANT and ACROBA I have come to conclusion that the problems set out in these projects for industries are certainly not...
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Alfons Salden
Oct 8, 20212 min read
Renormalized dynamic scale-space paradigm
In 1996, I submitted my Ph.D thesis on so-called dynamic scale-space theories for solving human and computer vision problems. These...
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Alfons Salden
Jul 26, 20211 min read
ACROBA on YouTube
ACROBA will develop and demonstrate a novel concept for creating cognitive robotic platforms that are able to smoothly adapt to virtually...
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Alfons Salden
Mar 1, 20211 min read
COGNIPLANT on YouTube
Towards optimisation of performance energy and resource consumption in process industry.
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Alfons Salden
Mar 1, 20213 min read
Crack Detection using Deep Learning
Setting the scene. In COGNIPLANT, MRNEC develops deep (reinforcement) learning models. These models aim to support our use case partners...
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Alfons Salden
Mar 1, 20213 min read
AI-Driven Cognitive Robotic Platform for Agile Production environments (ACROBA) Kicked-Off
PRESS RELEASE A successful kick-off meeting of the newly launched ACROBA Project – AI-Driven Cognitive Robotic Platform for Agile...
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Alfons Salden
Feb 26, 20211 min read
One year in process industry - September 2020
As part of COGNIPLANT project that started October 2019 we investigated during the first year deep learning approaches, methods and...
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Deep Reinforcement Learning
Nonlocal Multi-Scale Complex Interaction Network Analytics and Predictive Distributed Control
Critical Infrastructures
Health and Home Care
Business Intelligence
Autonomous Transport and Logistics
Smart Regions, Industry and Nations
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