Advances in Deep Learning-Based Data Analysis
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 189
Special Issue Editors
Interests: deep learning; data mining; computer vision; image processing
Interests: artificial intelligence; digital communications; mobile communication system; wireless communications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the continuous evolution of deep neural network architectures, convolutional neural networks (CNN) have achieved sub-pixel accuracy in medical image segmentation and remote sensing image interpretation. The Transformer model has reshaped temporal data analysis paradigms through self-attention mechanism, demonstrating strong generalization capabilities in areas such as financial forecasting and energy management. Meanwhile, the fusion of generative adversarial networks (GANs) and variational autoencoders (VAEs) has driven significant advances in tasks such as synthetic data generation and anomaly detection.
This Special Issue highlights the latest progress in applying learning to data analysis. It aims to bring together cutting-edge research results from leading scholars and practitioners worldwide, exploring innovative applications, theoretical breakthroughs, challenges, and solutions related to deep learning technologies across diverse data types, such as structured, unstructured, and temporal data. Topics of interest include, but are not limited to, the following:
- Design of new neural network architecture;
- Multimodal data fusion;
- Self supervised and unsupervised learning algorithms;
- Edge computing and lightweight;
- Distributed and parallel computing framework;
- The application of deep learning in data analysis in different fields.
Dr. Lingyu Yan
Dr. Xing Tang
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 250 words) can be sent to the Editorial Office for assessment.
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 1800 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
- computer vision
- data generation
- anomaly detection
- temporal data analysis
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