Artificial Intelligence in Computer Vision and Object Detection

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 47

Special Issue Editors


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Guest Editor
Laboratory of Artificial Vision and Thermography/Mechatronics, Faculty of Engineering, Autonomous University of Queretaro, Campus San Juan del Rio, San Juan del Rio 76807, Queretaro, Mexico
Interests: artificial intelligence; artificial vision; thermography and mechatronics

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Guest Editor
Faculty of Engineering, Autonomous University of Queretaro, Cerro de las Campanas S/N, Santiago de Queretaro, Queretaro 76010, Mexico
Interests: image-based diagnosis; artificial intelligence; medical robotics
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Special Issue Information

Dear Colleagues,

Artificial Intelligence is an essential tool in many technological systems, conferring them the ability to think as a human would. Some of its most important applications include computer vision systems and object recognition. The former can be understood as systems that allow a scene of the real world to be digitally captured in order to analyze it and extract its information. The latter focuses on finding or locating a specific object in a digital image. Therefore, in an intergrated system, computer vision allows a scene from the real world to be captured and processed, so that the artificial intelligence can then decide how to act; this can be applied in, for example, diagnosis or the detection of objects in engineering, medicine or health sciences. The aim of this Special Issue is to publish novel scientific articles on the application of artificial intelligence to computer vision or object recognition. It is important to mention that this Special Issue is not limited to any specific artificial intelligence technique or application. Therefore, all original articles and reviews that meet the main objective are welcome.

Dr. Luis Alberto Morales-Hernández
Dr. Saul Tovar-Arriaga
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. 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
  • machine learning
  • image processing
  • segmentation
  • tracking
  • thermography
  • features

Published Papers

This special issue is now open for submission.
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