Special Issue "Deep Learning for Signal Processing Applications"
Deadline for manuscript submissions: 30 October 2021.
Interests: intelligent systems; soft computing; fuzzy control; modeling and simulation; biometrics
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In recent times, deep learning has emerged as one of the most effective learning techniques in the broader area of artificial intelligence, especially for image and video analysis. Deep learning techniques have been used extensively for computer vision and recently for video analysis. In fact, in industry and academia scientists and research scholars have come up with effective solutions for various image and video related problems using different deep learning algorithms. The prime reason for the growing popularity of deep learning is that it can achieve high recognition accuracy than earlier methods that were existing before. With the applications of deep learning, excellent results have been achieved in image and video related classification and segmentation. While substantial progress has been achieved in medical image analysis with deep learning, many issues still remain and new problems emerge such as deep learning in medical imaging focusing on MRI with high accuracy, availability of limited datasets for classification task, major problems due to imbalance data sets, detecting diseases from medical imaging, image registration, and computer-aided diagnosis. Apart from medical images, deep learning can also be applied to solve other problems such as image inpainting, sound classification, voice assistants and augmented intelligence, high-resolution medical image reconstruction. Recently due to the introduction of deep learning, video analysis has become more interesting. Earlier it was a challenging task as the video was a data-intensive media with huge variations and complexities. Thanks to the deep learning technology, the multimedia people are now able develop better performance-intensive techniques to analyse the content of the video.
This special issue aims to provide comprehensive coverage on cutting edge research and state of the art methods on deep learning applications, especially with images and videos. Authors are requested to submit papers on the following topics (but not limited to):
- Image classification and segmentation by deep learning techniques
- Object Detection, image reconstruction, image super-resolution and image synthesis by deep learning techniques.
- Cancer imaging using deep learning techniques.
- Deep Learning in Gastrointestinal Endoscopy.
- Tumour detection using deep learning.
- Deep learning for image analysis using multimodality fusion.
- Image quality recognition methods inspired by deep learning.
- Advanced Deep Learning methods in computer vision with 3D data.
- Deep Learning models to solve the task of MOT (Multiple Object Tracking).
- Novel applications of Deep learning in a video classification framework
- Deep learning techniques for video semantic segmentation.
- Applications of deep learning video and image forensics.
- Video summarization using deep learning.
- Human action recognition using deep learning.
- Application of deep learning in satellite imagery.
- Aerospace, defense and communications.
- Industrial automation
Prof. Dr. Valentina E. Balas
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 papers will be 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. Applied Sciences 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 2000 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.