Feature Papers in Algorithms and Mathematical Models for Computer-Assisted Diagnostic Systems
A topical collection in Algorithms (ISSN 1999-4893). This collection belongs to the section "Algorithms and Mathematical Models for Computer-Assisted Diagnostic Systems".
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Interests: structural health monitoring; condition monitoring; piezoelectric transducers; PZT; data science; wind turbines
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Topical Collection Information
Dear Colleagues,
Machine learning, deep learning, algorithms and mathematical models have recently seen broad use in computer-assisted diagnostic systems due to their dramatic advance in image analysis, computer vision, and time-series analysis. Algorithms and mathematical models have demonstrated their considerable potential to transform computer-aided diagnosis in a wide variety of areas. These areas range from medical disease diagnostics and classification, through mechanical systems condition monitoring, to diagnosis for chemical industries. Similarly, the structural health diagnosis of different structures such as bridges, buildings, oil platforms, wind turbines, or rails and railroad switches can be considered.
The aim of this Topical Collection is to illustrate innovative work and frontier research that explores recent advances, prospects, and challenges in algorithms and mathematical model applications to reduce the chances of either missing, misclassifying, or over-diagnosing suspicious targets on diagnostic systems. Similarly, we expect to propel the path into computer-assisted prognostics. It is noteworthy that the keyword “diagnostic” has to be understood in a wide sense: medical, mechanical systems, civil engineering, chemical processes, and so on. The targeted audience includes both academic researchers and industrial practitioners. The purpose is to provide a platform to enhance interdisciplinary research and collaborations, and to share the most innovative ideas in various related fields.
Dr. Francesc Pozo
Collection 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 collection 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. Algorithms 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 1600 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
- algorithms
- mathematical models
- artificial intelligence
- fault diagnosis
- damage diagnosis
- disease diagnosis
- medical decision making
- real-time diagnostics
- prognosis