Deep Learning Applications
Guest editor: Anderson da Silva Soares · DLAIts last articles are still in review; they appear here as they are published.Important dates
- Call opens30 Jun 2017 · done
- Submission deadline30 Jun 2017 · done
- Collection complete30 Oct 2017 · done
About this special issue
Deep learning attempts to achieve higher levels of abstractions in identifying patterns in unstructured data. Deep learning is rapidly advancing in terms of both methodological developments and practical applications. At the same time, there are many opportunities for new exciting real world applications. This special issue seeks original contributions in the field of deep learning techniques for real life problems. All application fields are welcome, including but not limited to:
- Business and industrial applications;
- Medical, biomedical and health Informatics' applications;
- Automotive and robotics;
- Surveillance and security;
- Speech/Language Processing;
- Multimedia data (signal, 2D/3D image, video);
- Semantic visual analysis: human activity recognition, face/facial expressions' recognition, scene understanding;
Submission Guidelines
Original papers to report latest advances are invited to be submitted to the Journal of Computer Science http://thescipub.com/journals/jcs/instructions by including in the cover letter "SI: Deep Learning Applications". All the papers will be peer-reviewed following the journal's reviewing procedures. All the accepted papers should be prepared according to the guidelines set out by the journal.
Guest editor
- Anderson da Silva Soares
Published so far
Each accepted article is published in the journal’s next regular issue as soon as its author approves the proof, and appears here.