2.5
Impact Factor
5.5
CiteScore
17 days
Time to First Decision

Application, Optimization and Architecture of Deep Learning Neural Network

This special issue belongs to the section “Computing and Artificial Intelligence“.

Special Issue Information

Dear Colleagues,

With the surge in images and videos that need to be processed, deep learning neural networks are becoming a popular and essential tool for solving various problems, such as classification, detection, and regression. The new deep architectures have led to advances in less computational resources and to more reliable results.

Therefore, in this Special Issue, we aim to present novel deep learning algorithms and their applications in various research fields. Submitted articles can cover various topics, including but not limited to deep learning, artificial intelligence, and the processing of large datasets from medical instruments, ground-based datasets, scientific experiments, and many other sources.

Dr. Haigang Gong
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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 2400 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
artificial intelligence
reinforcement learning
image detection and segmentation
forecasting using deep networks
predications using deep networks
applications of deep learning neural networks

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