EFFRA Innovation Portal

Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process

Updated at: 31-03-2024

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Title Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process

Comparison between physics-based approaches and neural networks for the energy consumption optimization of an automotive...

Project: EnerMan

Updated at: 28-02-2024

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Title Comparison between physics-based approaches and neural networks for the energy consumption optimization of an automotive production industrial process

Model predictive control based on genetic algorithm and neural networks to optimize heating operation of a real low-ener...

Project: EnerMan

Updated at: 28-02-2024

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Title Model predictive control based on genetic algorithm and neural networks to optimize heating operation of a real low-energy building

D8.6 Value chain pilot II (Intra-factory)

Project: COMPOSITION

Updated at: 08-02-2024

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Description networks that will predict the failure probabilities of a specific equipment.

D8.5 Value chain pilot I

Project: COMPOSITION

Updated at: 02-02-2024

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Description Data is being collected and transmitted real time to the cloud based COMPOSITION BMS and being used as learning tool for the artificial neural networks that will predict the failure probabilities of a

Machine learning pipeline for time series data

Project: InterQ

Updated at: 16-10-2023

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Description Erdre can be configured to use any of the most common machine learning algorithms, such as neural networks (fully connected, convolutional, recurrent), decision trees, random forests and boosting methods

sEMG-Based Minimally Supervised Regression Using Soft-DTW Neural Networks for Robot Hand Grasping Control

Project: REMODEL

Updated at: 31-07-2023

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Title sEMG-Based Minimally Supervised Regression Using Soft-DTW Neural Networks for Robot Hand Grasping Control

Tell Me, What Do You See?—Interpretable Classification of Wiring Harness Branches with Deep Neural Networks

Project: REMODEL

Updated at: 31-07-2023

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Title —Interpretable Classification of Wiring Harness Branches with Deep Neural Networks

Idss For Predictive Quality Assurance

Project: AI REGIO

Updated at: 17-07-2023

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Description The use case will leverage on an intelligent approach, part of a broader family of learning methods based on artificial neural networks with representation learning.

“Interpretable AI for Multi Sensor Fusion and Smart Decision -on the way to interpretable neural networks application�...

Project: Arrowhead Tools

Updated at: 25-01-2023

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Title “Interpretable AI for Multi Sensor Fusion and Smart Decision -on the way to interpretable neural networks application”

Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks

Project: Arrowhead Tools

Updated at: 24-01-2023

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Title Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks

Training of deep neural networks for the generation of dynamic movement primitives

Project: QU4LITY

Updated at: 23-01-2023

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Title Training of deep neural networks for the generation of dynamic movement primitives
Description , Barry Ridge, Andrej Gams, Jun Morimoto, AleÂš UdeJournal title: Neural NetworksJournal number: 127Journal publisher: Pergamon Press Ltd.Published year: 2020Published pages: 121-131DOI identifier: 10.1016

Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification

Project: knowlEdge

Updated at: 23-01-2023

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Title Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification

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Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process

Comparison between physics-based approaches and neural networks for the energy consumption optimization of an automotive...

Model predictive control based on genetic algorithm and neural networks to optimize heating operation of a real low-ener...

D8.6 Value chain pilot II (Intra-factory)

D8.5 Value chain pilot I

Machine learning pipeline for time series data

sEMG-Based Minimally Supervised Regression Using Soft-DTW Neural Networks for Robot Hand Grasping Control

Tell Me, What Do You See?—Interpretable Classification of Wiring Harness Branches with Deep Neural Networks

Idss For Predictive Quality Assurance

“Interpretable AI for Multi Sensor Fusion and Smart Decision -on the way to interpretable neural networks application�...

Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks

Training of deep neural networks for the generation of dynamic movement primitives

Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification