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AI Workflow for Scarce Data: A Modular Approach to Optimise Processes

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

DOI: 10.1109/etfa65518.2025.11205664

Authors: Julian Bültemeier, Christoph-Alexander Holst, Volker Lohweg, Marvin Schöne, Bjarne Jaster, Martin Kohlhase

Institutions: Ostwestfalen-Lippe University of Applied Sciences and Arts, Hochschule Bielefeld

Language: English

Topic: Impact of AI and Big Data on Business and Society

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Ministry of Economic Affairs

OpenAlex ID: W4415399359

FWCI:

Cites: 20

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Related to: 10