Artificial Intelligence-Based Analytics for Data-Driven Decision-Making in Industrial Process Engineering
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "AI-Enabled Process Engineering".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 1265
Special Issue Editors
Interests: mechanical design; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: pattern recognition and intelligent systems; artificial intelligence; data mining and big data analytics
Special Issue Information
Dear Colleagues,
The rise in artificial intelligence (AI) has revolutionized data analytics. This Special Issue aims to present cutting-edge research and methodologies that leverage AI for data-driven decision-making.
We welcome original research, comprehensive reviews, and innovative methodologies that demonstrate how AI can address complex domain-specific challenges and facilitate practical data-driven solutions. Submissions may encompass both theoretical contributions and empirical studies, emphasizing robust model architectures, efficient training strategies, and interpretable results for informed decision-making.
We welcome contributions that cover a wide range of topics, including, but not limited to, the following:
- AI architectures for object detection and classification;
- AI techniques for anomaly recognition;
- Intelligent monitoring systems;
- Resource optimization for responsible AI development.
We look forward to receiving contributions that push the boundaries of AI-based analytics and bridge the gap between state-of-the-art research and practical decision-making.
Dr. Xiaojun Jin
Prof. Dr. Jian Zhang
Prof. Dr. Dong-Qing Yuan
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- data analytics
- decision-making
- anomaly recognition
- Intelligent monitoring systems
- artificial intelligence
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
