Applied Mathematics, Computing and Machine Learning
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 57
Special Issue Editor
Special Issue Information
Dear Colleagues,
Blockchain technology and machine learning are pivotal in advancing supply chain management (SCM) across various industries, aligning with Industry 4.0 and 5.0 principles. This Special Issue explores novel alternatives for integrating these technologies using mathematical methods to address the challenges posed by digital transformation in the industry. The focal point of this issue is the dependable techniques of deep learning and/or machine learning for industry using the blockchain method, which enhances SCM efficiency through improved document control, traceability, loading processes and collaborative workflows by providing a secure framework that facilitates data integration among logistics stakeholders.
This issue focuses on the architectural design of dependable systems and discusses its role in creating trusted computing environments within industrial settings. Comparative analyses with existing literature highlight the innovative aspects and superior performance of systems in operational dependability and decision making. Additionally, it sets the stage for future research by further discussing the integration of key performance indicators (KPIs) and decision support systems (DSSs) to enhance predictive capabilities and multi-criteria decision making processes.
This Special Issue invites original research and review articles demonstrating how blockchain and machine learning revolutionize SCM, potentially transforming industrial applications through enhanced data-driven decision making and operational efficiency.
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
- Industry 4.0
- Industry 5.0
- IoT
- machine learning
- deep learning
- blockchain
- supply chain management
- dependability
- trusted computing
- decision making
- multi-criteria
