New Advances and Challenges in Neural Networks and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Network Science".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 282
Special Issue Editors
Interests: deep neural network; multimodal integration; representation learning; model calibration; neural network vulnerability; uncertainty estimation; computer vision; medical imaging; remote sensing
Special Issue Information
Dear Colleagues,
Neural networks have become one of the most popular tools, with promising results in a variety of domains ranging from general computer vision to domain-specific tasks, from remote sensing to astrophysics and astronomy, and from natural language processing to multimodal integration systems. Without a doubt, neural networks are one of the most exciting research fields. However, as neural networks become more popular, new challenges emerge.
We are delighted to invite you to contribute an original research article focused on new advances and challenges in modern neural networks and their applications to this Special Issue entitled “New Advances and Challenges in Neural Networks and Applications”.
The broad topics include, but are not limited to, the following:
- Existing and potential challenges of neural networks, such as vulnerability, robustness, calibration, interpretability, etc.
- Emerging issues of neural networks, such as potential threats to cyber security and their defense (e.g., deep fakes and large-scale information generation).
- Novel neural network algorithms, applications, usage cases, and datasets in various domains, such as medical imaging, autonomous driving, remote sensing, smart assistants, language–vision integration, agriculture, and pest control.
Dr. Gongbo Liang
Prof. Dr. LiangLiang Liu
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 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. 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
- deep learning
- computer vision
- natural language processing
- medical imaging, remote sensing, agriculture, and domain-specific applications
- model calibration, vulnerability, robustness, interpretability, etc.
- classification, segmentation, and detection
- language-vision integration
- cyber security
