Computational Intelligence for Multimodal Data Modeling and Perception
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 50
Special Issue Editors
Interests: information fusion; embodied AI; multimedia computing; computer vision; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Interests: information fusion; neural networks; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid advancement of machine learning and deep learning, computational intelligence has become a powerful tool in enabling intelligent perception across diverse sensor modalities. This progress is driving breakthroughs in fields such as multimodal perception, virtual/augmented reality, autonomous systems, and cyber–physical simulations.
This Special Issue aims to gather cutting-edge research that advances our understanding of how computational intelligence can be applied to the modeling, interpretation, and fusion of heterogeneous sensory data. A central focus is the integration of learning-based algorithms with domain-specific knowledge (e.g., physical laws, sensor characteristics) to enhance perception systems in robustness, adaptability, and real-time performance.
We welcome original research articles on, but not limited to, the following topics:
- Multimodal data fusion and signal processing;
- Image analysis and scene understanding;
- Multimodal object detection, segmentation, and tracking;
- Cross-modal representation learning and alignment;
- Embodied intelligence and sensorimotor coordination;
- Efficient learning architectures for multimodal perception.
We particularly encourage works that bridge perception and simulation or offer novel insights into embodied intelligence in multimodal contexts. Researchers in computer vision, AI, robotics, signal processing, and applied mathematics are invited to contribute their latest findings to this Special Issue.
Dr. Ruichao Hou
Dr. Kangjian He
Guest Editors
Manuscript Submission Information
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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. Mathematics 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 2600 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
- embodied perception
- multimodal data fusion
- multimodal alignment
- multimodal learning
- multimodal data modeling
- cross-modal learning
- computational intelligence
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