Advances in Predictive Maintenance for Critical Infrastructure
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 15 August 2024 | Viewed by 2131
Special Issue Editors
Interests: machine learning; deep learning; natural language processing; security; privacy
Special Issues, Collections and Topics in MDPI journals
Interests: federated learning; deep learning; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Critical infrastructures are vital for modern living, providing essential services such as water and gas utilities, transportation networks (e.g., airports and rail stations), communication networks, and the smart electric power grid. However, these infrastructures are vulnerable to attacks, which is a concern given the rapid developments in heterogeneous sensor technology, sensor data acquisition, transmission, processing, and the Internet of Things. While this technology offers new opportunities for growth within critical infrastructures, it also poses unknown risks to their security by increasing vulnerabilities. Recent advancements in artificial intelligence (AI) can help to identify the hazards, risks, and gaps in resilience and enhance the critical infrastructure protection.
With the ability to process vast amounts of data, machine learning algorithms are increasingly becoming a powerful tool for optimizing and automating critical infrastructure operations, including identifying potential vulnerabilities and predicting failures in real time.
The upcoming Special Issue will showcase significant advancements in artificial intelligence, machine learning, signal, and information processing that aim to mitigate failures and increase the resilience of critical infrastructure, including anomaly detection, strategies, and security. The Issue will highlight key innovations in these fields and their potential impact on critical infrastructure development and management. This Session covers, but is not limited to, the following topics:
- Critical infrastructure protection;
- Infrastructure resilience;
- Intelligent systems;
- Machine learning and deep learning;
- Regulatory and normative aspects;
- Safety and security;
- Sensor signal processing;
- Sensor networks topology and design
Dr. Rosario Catelli
Dr. Giovanni Paragliola
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. Electronics 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
- AI and predictive models
- deep learning
- anomaly detection
- cyber security
