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Autonomous Systems in Cyber-Physical Systems and Smart Industry: Innovations and Challenges, 2nd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: 30 May 2025 | Viewed by 660

Special Issue Editors

SYSTEC-ARISE, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal
Interests: Industry 4.0; cyber–physical systems; artificial immune systems; autonomic computing; IoT
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Polytechnic Institute of Castelo Branco, Av. Pedro Álvares Cabral No 12, 6000-084 Castelo Branco, Portugal
2. SYSTEC—Research Center for Systems and Technologies, ARISE—Advanced Production and Intelligent Systems Associated Laboratory, 4200-465 Porto, Portugal
Interests: electronics; instrumentation; automation; control; robotics; cyber-physical systems; computer vision; image processing; machine learning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Institute Industrial IT (inIT), Technische Hochschule Ostwestfalen-Lippe (TH OWL), Campusallee 6, D-32657 Lemgo, Germany
Interests: intelligent automation; digitalization; information fusion; industrial image processing; pattern recognition; cyber–physical (production) systems; machine learning; resource-limited electronics; mobile devices
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is a continuation of our previous Special Issue "Autonomous Systems in Cyber-Physical Systems and Smart Industry: Innovations and Challenges".

Autonomous systems are emerging as game-changers in the realm of Cyber–Physical Systems (CPSs) and Smart Industry, revolutionizing how industries operate and interact with the physical world. This Special Issue is dedicated to exploring the integration and impact of autonomous systems within the CPS framework. We invite contributions that delve into the design, development, and deployment of Self-* capabilities in CPSs and industrial applications. Topics of interest include autonomous manufacturing, logistics, predictive maintenance, AI (artificial intelligence), machine learning in industrial processes, and autonomous decision-making processes. We also welcome research on the challenges and opportunities presented by autonomous systems, such as safety, reliability, security, privacy, and ethical considerations. Join us in uncovering the transformative potential of autonomous systems in shaping the future of Smart Industry.

Dr. Rui Pinto
Dr. Pedro M. B. Torres
Prof. Dr. Volker Lohweg
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. Applied Sciences 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 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

  • cyber–physical systems
  • smart industry
  • autonomous systems
  • self-*
  • artificial intelligence (AI)
  • machine learning
  • real-time monitoring
  • predictive maintenance
  • security and privacy in industry
  • ethical considerations in autonomous systems

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Published Papers (1 paper)

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25 pages, 1190 KiB  
Systematic Review
A Systematic Review of Reimagining Fashion and Textiles Sustainability with AI: A Circular Economy Approach
by Hiqmat Nisa, Rebecca Van Amber, Julia English, Saniyat Islam, Georgia McCorkill and Azadeh Alavi
Appl. Sci. 2025, 15(10), 5691; https://doi.org/10.3390/app15105691 - 20 May 2025
Abstract
Artificial intelligence (AI) is revolutionizing the fashion, textile, and clothing industries by enabling automated assessment of garment quality, condition, and recyclability, addressing key challenges in sustainability. This systematic review explores the applications of AI in evaluating clothing quality and condition within the framework [...] Read more.
Artificial intelligence (AI) is revolutionizing the fashion, textile, and clothing industries by enabling automated assessment of garment quality, condition, and recyclability, addressing key challenges in sustainability. This systematic review explores the applications of AI in evaluating clothing quality and condition within the framework of a circular economy, with a focus on supporting second-hand clothing resale, charitable donations by NGOs, and sustainable recycling practices. A total of 135 research resources were identified through searching academic databases including Google Scholar, Springer, ScienceDirect, IEEE, Taylor and Francis, and Sage journals. These publications were subsequently refined down to 49 based on selected inclusion criteria. The selection of these sources from diverse databases was undertaken to mitigate any potential bias in the selection process. By analyzing the effectiveness and challenges of related peer-reviewed articles, conference papers, and technical reports, this study highlights state-of-the-art methodologies such as convolutional neural networks (CNNs), hybrid models, and other machine vision systems. A critical aspect of this review is the examination and analysis of datasets used for model development, categorized and detailed in a comprehensive table to guide future research. Whilst the findings emphasize the potential of AI to enhance quality assurance in second-hand clothing markets, streamline textile sorting for donations and recycling, and reduce waste in the fashion industry, they also highlight gaps in the available datasets, often due to limited size and scope. The types of textiles captured were most commonly swatches of fabric, with 20 studies examining these, whereas whole garments were less frequently studied, with only 7 instances. This review concludes with insights into future research directions and the promising use of AI within fashion and textiles to facilitate a transition to a circular economy. This project was supported through RMIT University’s School of Fashion and Textiles internal seed funding (2024). Full article
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