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Advancements in Symmetry/Asymmetry and Deep Learning for Smart Transportation, Microelectronics, and Photovoltaic Systems

This special issue belongs to the section “Engineering and Materials“.

Special Issue Information

Dear Colleagues,

Recent years have witnessed a rapid evolution of deep learning, transforming various industries with its powerful capabilities in data analysis and decision-making. This Special Issue aims to explore cutting-edge applications of deep learning in three key areas: smart transportation, microelectronics, and photovoltaic (PV) systems. In the field of intelligent transportation, we focus on leveraging deep learning for traffic flow prediction, autonomous driving perception, and smart city management. In microelectronics, deep learning can be applied to optimize semiconductor design, manufacturing processes, and fault detection. Finally, in the domain of PV systems, we will address topics such as solar energy yield prediction, defect detection in solar panels, and smart grid integration. We invite original research and review articles presenting novel algorithms, architectures, and practical applications in these fields, fostering the exchange of innovative ideas and technical advancements.

Dr. Xiaobo Xu
Dr. Zan Zhang
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 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. Symmetry 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 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
  • intelligent transportation systems
  • autonomous driving
  • microelectronics
  • semiconductor manufacturing
  • photovoltaics (PV)
  • solar energy prediction
  • fault detection
  • smart grids
  • AI for industry

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Symmetry - ISSN 2073-8994