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Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop]


Initial Description of KnowlEdge Repository

describe the development and the functionalities of projects repository

Final evaluation KPIs

Evaluation methodology and KPIs

Evolutionary Requirement Engineering and Innovations [Initial/Updated/Final]

this report describes the requirements analysis all stakeholder requirements functional and nonfunctional

Initial Business models and requirements

the deliverable presents a first version of the results of the stakeholders business requirements and models analyses for AI implementation

Vision, Specifications and System Architecture [Initial/Updated/Final]

a public report documenting the requirements and architecture specifications

Technical review (Interim management report)

Interim management report for the reviewers without the financial part otherwise required for management reports issued at the end of reporting periods

Market Radar and Technology Adaptations [Initial/Updated/Final]

this report describes the evolving landscape of AI technologies related with the industry and manufacturing sector

Data management plan

specifies how research data are handled during and after a research project

Pilot Evaluation methodology and implementation plan

Implementation and management plan

Project Manual (quality assurance and risk assessment)

helps the Consortium with quality assurance and identification of relevant quality standards and best practices and means to achieve them and supports the implementation of internal quality checks

User need specification and scenario definition [Initial/Updated/Final]

this report describes the knowlEdge scenarios based on the analysis of user needs As part of the iterative methodology the report is updated twice

Dissemination Roadmap & Activities

this deliverable provide the projects dissemination activities

Exploitation Strategy & IPR Management

The deliverable describes how to facilitate the acceptance and utilisation by the market of the developed solutions

First report on dissemination activities

First report on dissemination activities

Initial Data Management and Data Quality modules

this deliverable will contain the initial work done in task T32 In particular will describe the initial approach architecture and structure of the data quality and management modules

Initial knowlEdge website

this deliverable provide a brief description of the initial projects website and is functionalities

Full knowledge website

this deliverable provide a brief description of the full project website and is functionalities

Initial site-wide data collection and integration toolkit

provides the overview of the results produced in T31 This deliverable lists the data models protocols and planned architecture of the components to be developed


AI impacts on the performance in supply chains

Author(s): Stefan Walter
Published in: The 34th Annual NOFOMA Conference June 8 – 10, 2022 - Reykjavík, Iceland, 2022
Publisher: The Nordic Logistics Research Network (NOFOMA)

The role of artificial intelligence in sustainable supply chains

Author(s): Stefan Walter
Published in: 32nd European Conference on Operational Research, EURO 2022 - Abstract book, 2022, Page(s) 92-92
Publisher: EURO - Association of European Operational Research Societies

The AI challenge in cognitive production system

Author(s): Stefan Walter
Published in: Sosiologipäivät 2021: The Annual Conference of the Westermarck Society 2021 - Hybrid, Helsinki, Finland - Abstract book, 2021, Page(s) 16-17
Publisher: The Westermarck Society

Production Scheduling Optimization enabled by Digital Cognitive Platform

Author(s): Georgiadis, K., Nizamis, A., Vafeiadis, T., Ioannidis, D., & Tzovaras, D.
Published in: International Conference on Industry Science and Computer Sciences Innovation, 2022
Publisher: Elsevier
DOI: 10.1016/j.procs.2022.08.052

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

Author(s): Schlake, Georg Stefan; Hüwel, Jan David; Berns, Fabian; Beecks, Christian
Published in: IEEE International Conference on Data Engineering (ICDE) Workshops, 2022
Publisher: IEEE
DOI: 10.1109/icdew55742.2022.00015

LOGIC: Probabilistic Machine Learning for Time Series Classification

Author(s): Berns, Fabian; Hüwel, Jan David; Beecks, Christian
Published in: IEEE International Conference on Data Mining, 2021
Publisher: IEEE
DOI: 10.1109/icdm51629.2021.00113

Towards Industry 5.0 – A Trustworthy AI Framework for Digital Manufacturing with Humans in Control Towards Industry 5.0

Author(s): Wajid, U., Nizamis, A., & Anaya, V.
Published in: I-ESA’22 Interoperability for Enterprise Systems and Applications - Workshop: AI beyond efficiency instructions for the workshop, 2022
Publisher: CEUR Workshop Proceedings

Agile-Cognitive Production Systems: Social Impacts and Modifications

Author(s): Stefan Walter
Published in: IV ISA Forum of Sociology: Challenges of the 21st Century: Democracy, Environment, Inequalities, Intersectionality - Virtual, Porto Alegre, Brazil - Abstract book, 2021, Page(s) 610-611
Publisher: International Sociological Association

Automated Kernel Search for Gaussian Processes on Data Streams

Author(s): Hüwel, Jan David; Berns, Fabian; Beecks, Christian
Published in: IEEE International Conference on Big Data, 2021
Publisher: IEEE
DOI: 10.1109/bigdata52589.2021.9671767

Local Gaussian Process Model Inference Classification for Time Series Data

Author(s): Berns, Fabian; Strueber, Joschka Hannes; Beecks, Christian
Published in: International Conference on Scientific and Statistical Database Management, 2021
Publisher: IEEE
DOI: 10.1145/3468791.3468839

Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms

Author(s): Fabian Berns; Jan Hüwel; Christian Beecks
Published in: SN Computer Science, 2022, ISSN 2661-8907
Publisher: Springer
DOI: 10.1007/s42979-022-01186-x

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