Advanced AI and Machine Learning Techniques for Time Series Analysis and Pattern Recognition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 October 2025 | Viewed by 747
Special Issue Editors
Interests: artificial intelligence; computer science; machine learning; deep learning; computer vision; high-energy astrophysics
Special Issues, Collections and Topics in MDPI journals
Interests: software engineering; computer-aided system; semantic analysis; control software system; high-energy astrophysics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore cutting-edge artificial intelligence and machine learning approaches for analyzing time series data and recognizing complex patterns across diverse domains. We invite original research articles and comprehensive review papers that advance the theoretical foundations or practical applications of deep learning architectures, transformer models, reinforcement learning, and hybrid AI systems specifically designed for temporal data challenges. Topics of interest include, but are not limited to, the following: novel architectures for multivariate time series forecasting, anomaly detection in streaming data, interpretable models for temporal pattern discovery, transfer learning for limited time series datasets, and AI techniques for real-time decision-making systems. We particularly welcome interdisciplinary submissions demonstrating innovative applications in healthcare, finance, industrial monitoring, environmental science, or smart infrastructure.
Dr. Antonio Pagliaro
Dr. Pierluca Sangiorgi
Guest Editors
Dr. Antonio Alessio Compagnino
Guest Editor Assistant
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
- artificial intelligence
- machine learning
- time series analysis
- pattern recognition
- predictive modeling
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