Industrial Artificial Intelligence
Springer · Switzerland
Aims & Scope✦ Inferred from recent articles
This journal focuses on the application of artificial intelligence and machine learning techniques to solve problems in various industrial domains. Topics include fault detection, quality control, process optimization, predictive maintenance, and the development of intelligent systems for manufacturing, transportation, and infrastructure management. The journal also explores advancements in AI methodologies such as deep learning, recurrent neural networks, and stochastic configuration networks, with an emphasis on interpretability, data efficiency, and real-world implementation challenges.
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General Information
Submission Info
Ethics & Quality
Think.Check.Submit Compliance
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Subject Classification
Research Topics (OpenAlex)
Frequently asked questions about Industrial Artificial Intelligence
Is Industrial Artificial Intelligence a predatory journal?
PubScope has no integrity flags on record for Industrial Artificial Intelligence: it is indexed in DOAJ, and is not on DOAJ's withdrawn list. Its PubScope Trust Score is 52/100. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.
What is the impact factor of Industrial Artificial Intelligence?
Industrial Artificial Intelligence is not in the Web of Science Core Collection, so it has no official Clarivate Journal Impact Factor.
Is Industrial Artificial Intelligence indexed in Scopus and Web of Science?
Industrial Artificial Intelligence is indexed in DOAJ.
How much does it cost to publish in Industrial Artificial Intelligence?
Industrial Artificial Intelligence charges an article processing charge (APC) of about €1,690 for open-access publication.
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See all →Data updated: 2026-05-26 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref