Applied Mathematics, Computing and Machine Learning
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 615
Special Issue Editor
Special Issue Information
Dear Colleagues,
The following Special Issue of Mathematics focuses on integrating advanced mathematical methods with machine learning (ML) and deep learning (DL) techniques to address challenges in supply chain management (SCM) and industrial decision-making within the context of Industry 4.0 and 5.0. We expect contributions to demonstrate how mathematics can serve as a foundation for developing data-driven models that enhance predictive performance, operational efficiency, and strategic decision-making. Topics of interest include the use of physics-informed neural networks (PINNs), mathematical modeling of nonlinear systems, the implementation of KPIs and DSSs, and the design of trustworthy architectures for real-time industrial applications. In addition, this issue welcomes works that address dependable techniques and blockchain-based frameworks and their integration with ML/DL models to improve traceability, secure data exchange, and collaborative processes in industrial environments. Authors are encouraged to submit original research or review articles that highlight innovative approaches with clear mathematical foundations and industrial relevance.
Dr. Claudia Durán San Martín
Guest Editor
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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
- physics-informed neural networks
- deep learning
- machine learning
- mathematical modeling
- data analytics
- multi-criteria optimization
- blockchain integration
- Industry 4.0 and 5.0
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