Data-Driven Artificial Intelligence: Applications and Prospects

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

Deadline for manuscript submissions: 30 June 2024 | Viewed by 181

Special Issue Editor


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Guest Editor
Department of Biosystems Engineering, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Wojska Polskiego 50, 60-627 Poznań, Poland
Interests: artificial intelligence; neural networks; machine learning; computer image analysis; computer engineering; prediction; production process optimization and modeling; process management; Internet of Things; business management; management process; trends in management
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Special Issue Information

Dear Colleagues,

The rapid development and prevalence of digital technologies has yielded large volumes of pictures, phrases, and all other varieties of data. In recent years, the use data-driven AI has provided an opportunity to derive all the necessary meaning from the ever-increasing amount of data, and to assist in solving real-world problems. Researchers have been exploring the possibilities of applying data-driven AI to analyze huge datasets. Recent studies have proposed to combining data-driven AI with medical, cybersecurity, manufacturing, precision agriculture, smart cities, and a wide variety of other techniques and areas of industry.

This Special Issue aims to publish original studies concerning the application of data-driven artificial intelligence. Topics of interest include, but are not limited to, the following:

  • Machine learning-based big data compression and feature extraction;
  • Data-driven intelligence;
  • Data-driven cyber threat;
  • Data-driven intelligence and applications in IoT/Sensor networks;
  • Data-driven approaches in precision agriculture or remote sensing;
  • Data-driven approaches in oil and gas production forecasting;
  • Data-driven decision making in engineering.

Prof. Dr. Krzysztof Koszela
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 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

  • artificial intelligence (AI)
  • intelligent manufacturing
  • big data
  • Internet of Things
  • neural image analysis
  • machine learning

Published Papers

This special issue is now open for submission.
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