Future of Artificial Intelligence in Smart Cities

A special issue of Machine Learning and Knowledge Extraction (ISSN 2504-4990).

Deadline for manuscript submissions: closed (30 October 2023) | Viewed by 535

Special Issue Editors


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Guest Editor
College of Engineering, Najran University, Najran 61441, Saudi Arabia
Interests: diagnostics and prognostics; pattern recognition; statistical analysis of big data; machine fault diagnostics; non-destructive testing; condition monitoring; Internet of things; artificial intelligence; industrial electronics; smart cities and smart healthcare
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Maritime Studies, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Interests: data analysis; condition monitoring of machines; fault diagnosis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to publish high-quality research and novel developments, both theoretically and practically, for smart cities. The Special Issue is intended for researchers, local governments, graduate students, and practicing engineers with an interest in smart technology. It will cover the applications of Artificial Intelligence, the Internet of Things (IoT), and Nanotechnologies to solve several issues associated with smart cities, such as energy management, water resources management, environment protection, e-health management, and cybersecurity threats.

Potential topics include but are not limited to the following:

  • Smart condition monitoring systems;
  • Smart healthcare;
  • AI and IoT for energy management;
  • AI and IoT for marine sciences;
  • IoT and underwater wireless sensors networks;
  • Smart grid stations;
  • IoT and AI for waste management;
  • Modern communication infrastructure;
  • 5G and 6G communication for smart cities;
  • Fibre optical systems for smart cities;
  • Reliable systems for smart machines;
  • Smart systems for wastewater management;
  • Smart systems for wastewater treatment;
  • AI and IoT for environmental protection;
  • Cybersecurity systems for smart cities;
  • Advanced biomedical materials.

Dr. Muhammad Irfan
Prof. Dr. Adam Glowacz
Dr. Faisal Althobiani
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. Machine Learning and Knowledge Extraction is an international peer-reviewed open access quarterly 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 1800 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

  • intelligent machines
  • artificial intelligence
  • Internet of Things
  • smart cities
  • smart healthcare
  • smart grids
  • condition monitoring
  • energy management
  • smart resource management
  • smart wastewater treatment
  • cybersecurity

Published Papers

There is no accepted submissions to this special issue at this moment.
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