EFFRA Innovation Portal

Technical Challenges and Future Environmentally Sustainable Applications for Multi-Material Additive Manufacturing for M...

Project: Grade2XL

Updated at: 01-12-2024

Deliverable 7.10: Coaching sessions for SMEs (P)

Project: Grade2XL

Updated at: 01-12-2024

Deliverable D6.1 Preliminary LCA and LCC

Project: Grade2XL

Updated at: 01-12-2024

Deliverable 7.09: Intermidiate dissemination and exploitation plan

Project: Grade2XL

Updated at: 01-12-2024

Deliverable 7.05: Initial communication toolkit

Project: Grade2XL

Updated at: 01-12-2024

Deliverable 5.01: List of available guidelines

Project: Grade2XL

Updated at: 01-12-2024

RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects

Project: XMANAI

Updated at: 01-12-2024

Integrating Explainability-by-Design for Transparent and Efficient AI in Manufacturing

Project: XMANAI

Updated at: 01-12-2024

Process and Product Quality Optimization with Explainable Artificial Intelligence

Project: XMANAI

Updated at: 01-12-2024

Periodic Reporting for period 3 - XMANAI (Explainable Manufacturing Artificial Intelligence)

Project: XMANAI

Updated at: 01-12-2024

XAI for Product Demand Planning: Models, Experiences, and Lessons Learnt

Project: XMANAI

Updated at: 01-12-2024

Regionally Additive Models: Explainable-by-design models minimizing feature interactions

Project: XMANAI

Updated at: 01-12-2024

UX-Driven Methodology to Design Usable Augmented Reality Applications for Maintenance

Project: XMANAI

Updated at: 01-12-2024

Holistic Production Overview: Using XAI for Production Optimization

Project: XMANAI

Updated at: 01-12-2024

Toward Explainable Metrology 4.0: Utilizing Explainable AI to Predict the Pointwise Accuracy of Laser Scanning Devices i...

Project: XMANAI

Updated at: 01-12-2024

A novel human-centric framework for maintenance digitization using Augmented Reality

Project: XMANAI

Updated at: 01-12-2024

An Explainable & Secure Artificial Intelligence platform for the manufacturing industry – Applications & lessons learn...

Project: XMANAI

Updated at: 01-12-2024

Brand Management Materials and Web Portal - 1st version

Project: Circular TwAIn

Updated at: 14-11-2024

De- and Re- manufacturing of consumer WEEE

Project: Circular TwAIn

Updated at: 14-11-2024

SDU at DiDiT Workshop (17/06/2024)

Project: ONE4ALL

Updated at: 07-11-2024

KIT at EDI40 Conference (24/04/2024)

Project: ONE4ALL

Updated at: 07-11-2024

CRIT at R2B Fair (26/06/2024)

Project: ONE4ALL

Updated at: 07-11-2024

Innobotics at SPS Fair (28/05/2024)

Project: ONE4ALL

Updated at: 07-11-2024

Automationware at MECSPE Fair (07/03/2024)

Project: ONE4ALL

Updated at: 07-11-2024

EFFRA Conference

Project: ONE4ALL

Updated at: 07-11-2024

SPS Fair in Nurnberg (15/11/2023)

Project: ONE4ALL

Updated at: 07-11-2024

11th EuroSim Congress (29/06/2023)

Project: ONE4ALL

Updated at: 07-11-2024

Open Living Lab Days Conference (22/09/2023)

Project: ONE4ALL

Updated at: 07-11-2024

A Vision for Advancing Digital Twins Intelligence: Key Insights and Lessons from Decades of Research and Experience with...

Project: ONE4ALL

Updated at: 07-11-2024

Validation of Digital Twins in Labor-intensive Manufacturing:Significance and Challenges

Project: ONE4ALL

Updated at: 07-11-2024

Resources

Selected filters:

Technical Challenges and Future Environmentally Sustainable Applications for Multi-Material Additive Manufacturing for M...

Deliverable 7.10: Coaching sessions for SMEs (P)

Deliverable D6.1 Preliminary LCA and LCC

Deliverable 7.09: Intermidiate dissemination and exploitation plan

Deliverable 7.05: Initial communication toolkit

Deliverable 5.01: List of available guidelines

RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects

Integrating Explainability-by-Design for Transparent and Efficient AI in Manufacturing

Process and Product Quality Optimization with Explainable Artificial Intelligence

Periodic Reporting for period 3 - XMANAI (Explainable Manufacturing Artificial Intelligence)

XAI for Product Demand Planning: Models, Experiences, and Lessons Learnt

Regionally Additive Models: Explainable-by-design models minimizing feature interactions

UX-Driven Methodology to Design Usable Augmented Reality Applications for Maintenance

Holistic Production Overview: Using XAI for Production Optimization

Toward Explainable Metrology 4.0: Utilizing Explainable AI to Predict the Pointwise Accuracy of Laser Scanning Devices i...

A novel human-centric framework for maintenance digitization using Augmented Reality

An Explainable & Secure Artificial Intelligence platform for the manufacturing industry – Applications & lessons learn...

Brand Management Materials and Web Portal - 1st version

De- and Re- manufacturing of consumer WEEE

SDU at DiDiT Workshop (17/06/2024)

KIT at EDI40 Conference (24/04/2024)

CRIT at R2B Fair (26/06/2024)

Innobotics at SPS Fair (28/05/2024)

Automationware at MECSPE Fair (07/03/2024)

EFFRA Conference

SPS Fair in Nurnberg (15/11/2023)

11th EuroSim Congress (29/06/2023)

Open Living Lab Days Conference (22/09/2023)

A Vision for Advancing Digital Twins Intelligence: Key Insights and Lessons from Decades of Research and Experience with...

Validation of Digital Twins in Labor-intensive Manufacturing:Significance and Challenges