Application of Deep Neural Networks
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: 31 December 2025 | Viewed by 531
Special Issue Editors
Interests: efficient artificial intelligence; domain-specific AI
Interests: AI for social science; social network analysis and algorithms; network science; LLM and business computing
Special Issue Information
Dear Colleagues,
We are delighted to announce a call for papers for a Special Issue of BDCC titled "Application of Deep Neural Networks". This Special Issue aims to provide a comprehensive platform for researchers, academics, and industry professionals to share their latest findings and insights on the cutting-edge applications of deep neural networks across various domains.
Deep neural networks (DNNs) have emerged as a transformative force in artificial intelligence, offering unprecedented capabilities in pattern recognition, data analysis, and decision making. They have been instrumental in advancing fields such as computer vision, natural language processing, robotics, and many others. The rapid progress in DNN research has led to significant breakthroughs and practical applications that are reshaping our world.
The primary goal of this Special Issue is to consolidate and disseminate knowledge on the innovative applications of DNNs, fostering interdisciplinary collaboration and sparking new discussions on the theoretical and practical aspects of these networks. We seek to publish high-quality, original research articles and reviews that address both the challenges and opportunities presented by the application of deep neural networks.
Potential topics for this Special Issue include, but are not limited to, the following:
- Advanced architectures and algorithms for deep neural networks.
- Applications of DNNs in image and video analysis.
- DNNs for audio and speech recognition systems.
- DNN-based solutions in autonomous vehicles and robotics.
- DNNs in natural language understanding and generation.
- DNNs for recommendation systems and personalized content.
- DNNs in bioinformatics and medical diagnostics.
- DNNs for financial modeling and risk assessment.
- DNNs in education and intelligent tutoring systems.
- Ethical considerations and societal impacts of DNN applications.
We welcome submissions that not only report on novel applications of DNNs but also explore the theoretical foundations, optimization techniques, and the societal implications of these technologies.
The Guest Editors of this Special Issue are looking forward to receiving your contributions and facilitating a productive exchange of ideas and knowledge.
Best regards,
Dr. Linfeng Zhang
Dr. Wanyue Xu
Dr. Jiaye Teng
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. Big Data and Cognitive Computing 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
- deep neural networks
- convolutional neural network
- recurrent neural network
- transformer
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