Recurrent Neural Networks: algorithms design and applications for safety critical systems
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Combinatorial Optimization, Graph, and Network Algorithms".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 2529
Special Issue Editor
Interests: machine learning; active learning; computational intelligence; big data; health diagnostics; anomalies; traffic; hot spots; bio-inspired computation; meta-learning; behaviour identification
Special Issue Information
Dear Colleagues,
Recurrent Neural Networks (RNNs) are a category of Neural Networks that allow for capturing temporal dynamic behaviour from data. It has been widely applied to sequential data or time series data. Applications include natural language processing, prognostic and health management, healthcare, human behaviour detection, and other safety critical systems. RNNs are distinguished by their memory mechanism, as information from prior input layers of the network influence subsequent inputs and outputs. Several variations and modifications of RNNs are now found in the literature, such as GRUs, LSTMS, Bi-directional RNN, expanding the domains of applicability, as well as the effectiveness of these approaches to temporal data.
This Special Issue invites researchers to submit their recent advances in RNNs for safety critical systems. Potential topics of interest include, but are not limited to:
- Novel algorithms and applications;
- Stacked and/or hybrid architectures (e.g., ConvLSTM);
- RNNs for sensor healthcare data;
- Exploration of RNN and transformers for fault detection and/or anomaly detection;
- Novel algorithms that address uncertainty using Bayesian Techniques, Gaussian Processes, etc.;
- Engineering applications of RNN, such as prognostic and health management, remaining useful life prediction;
- Multi-view RNNs;
- Attention mechanisms;
- RNN explanation/interpretation
Dr. Grazziela Patrocinio Figueredo
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. 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.
