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IFACOM | Intelligent Fault Correction and self Optimizing Manufacturing systems

01-11-2011

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30-04-2015

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 Artificial Neural Network method for slurry control and optimization Result title Artificial Neural Network method for slurry control and optimization
 EMA DEMO Result description • statistical and cognitive systems: Statistical Process Control (SPC) & Neural Networks data analysis with the aim to find the correlations between the measured Key Process Variables and the Target

Z-Fact0r | Zero-defect manufacturing strategies towards on-line production management for European factories

01-10-2016

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31-03-2020

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Comments The technologies used were Artificial Neural Networks (ANN) and deep learning algorithms.
 Report on standards (a) used and (b) generated in Z-Fact0r Result description Z-Fact0r will establish informal contact with other relevant projects and networks in this field ensuring a good level of information flow and mutual awareness be-tween the project and the above bodies
 A Security Architecture for Digital Manufacturing Platforms Taxon description It tries to present a comprehensive perspective of various security concepts on the conceived OT and IT architecture which includes networks, systems and equipment connected to these networks, the communication
 Data processing Comments The technologies used were Artificial Neural Networks (ANN) and deep learning algorithms.

Productive4.0 | Electronics and ICT as enabler for digital industry and optimized supply chain management covering the entire product lifecycle

01-05-2017

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30-04-2020

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Description What makes the project unique is the holistic system approach of consistently focusing on the three main pillars: digital automation, supply chain networks and product lifecycle management, all of which
 Evolutionary Construction of Convolutional Neural Networks Result title Evolutionary Construction of Convolutional Neural Networks
 Security standard compliance and continuous verification for Industrial Internet of Things Result description the pre-formated search via the search engines listed on this page.Authors: Ani Bicaku, Markus Tauber, Jerker DelsingJournal title: International Journal of Distributed Sensor NetworksJournal

PreCoM | Predictive Cognitive Maintenance Decision Support System

01-11-2017

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31-10-2020

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Comments Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 1.6: Data ‘highways’ and data spaces in support of smart factories in dynamic value networks
 Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo Result title Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo

SCOTT | Secure COnnected Trustable Things

01-05-2017

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31-10-2020

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Description SCOTT focusses on wireless sensor & actuator networks and communication in mobility, smart infrastructure and health, thus addressing essential European societal challenges and significantly contributing
Organisation EYE NETWORKS AS (Eye Networks AS)
 Carbon dioxide level prediction for indoor air using neural networks Result title Carbon dioxide level prediction for indoor air using neural networks
 Poster: Accurate Cross-Technology Clock Synchronization Among Off-the-Shelf Wireless Devices Result description via the search engines listed on this page.Authors: David Grubmair, Rainer Hofmann, Carlo Alberto Boano, and Kay RoemerJournal publisher: 17th International Conference on Embedded Wireless Systems and Networks
 A Security Architecture for Digital Manufacturing Platforms Taxon description It tries to present a comprehensive perspective of various security concepts on the conceived OT and IT architecture which includes networks, systems and equipment connected to these networks, the communication

Z-BRE4K | Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories

01-10-2017

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31-03-2021

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Comments In addition, convolutional neural networks are used to process high-throughput video streams, providing a non-time critical stream of features for cloud services.
 Data processing Comments In addition, convolutional neural networks are used to process high-throughput video streams, providing a non-time critical stream of features for cloud services.

Arrowhead Tools | Arrowhead Tools for Engineering of Digitalisation Solutions

01-05-2019

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31-07-2022

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 Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks Result title Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks
 An Energy-efficient Distributed TDMA Scheduling Algorithm for ZigBee-like Cluster-tree WSNs Result description can try the pre-formated search via the search engines listed on this page.Authors: Aasem Ahmad, Zdenek HanzalekJournal title: ACM Transactions on Sensor NetworksJournal

COMPOSITION | Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation

01-09-2016

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31-08-2019

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Comments   R&I Objective 1.6: Data ‘highways’ and data spaces in support of smart factories in dynamic value networks MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart
 D8.5 Value chain pilot I Result 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
 Domain 4: Collaborative and mobile enterprises Taxon description • Capturing complexity and multidimensionality of supply networks.

iDev40 | Integrated Development 4.0

01-05-2018

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30-04-2021

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 Liquid Time-constant Recurrent Neural Networks as Universal Approximators Result title Liquid Time-constant Recurrent Neural Networks as Universal Approximators
 On Information Plane Analyses of Neural Network Classifiers – A Review Result description GeigerJournal title: IEEE Transactions on Neural Networks and Learning SystemsJournal publisher: IEEEPublished year: 2021DOI identifier: 10.1109/tnnls.2021.3089037ISSN:2162-2388

QU4LITY | Digital Reality in Zero Defect Manufacturing

01-01-2019

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31-07-2022

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