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.
AI-summarised from recent articles · verify on publisher page →
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)
You May Also Like
See all →Data updated: 2026-05-26 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref