Towards Data-Driven Smart Cities

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (15 February 2024) | Viewed by 3640

Special Issue Editors


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Guest Editor
Instituto de Telecomunicações, Universidade de Aveiro, 3810-193 Aveiro, Portugal
Interests: machine learning; text mining; time series; deep learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Instituto de Telecomunicações, Universidade de Aveiro, 3810-193 Aveiro, Portugal
Interests: networks; service platforms; M2M; computer networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Given the advances in IoT, M2M and edge computing, the achievement of wide-scale smart environments is rapidly becoming a reality. One of the main beneficiaries of this evolution will be cities. By definition, a city is a large human settlement that offers sufficient services for its inhabitants to make a living. These services include everything from health to mobility. As the number of inhabitants grows, it becomes increasingly difficult to offer reliable services. This meaning that some inhabitants may not have access to the services they need at a specific point in time. Smart cities leverage IoT, M2M and edge computing, and combine them with intelligent services based on AI/ML techniques to optimize real-time key services improving the quality and reliability of the services. In this Special Issue, we are looking for innovative research that is focused on exploring data-driven smart services that can be used to optimize or improve large-scale smart cities.

The Issue has a special focus on smart services based on AI/ML models that leverage heterogeneous data already available in smart cities, as well as manuscripts that propose innovative ways of learning from this heterogeneous data and deploying smart, robust and updatable models.

Dr. Mário Antunes
Dr. Diogo Gomes
Guest Editors

Manuscript Submission Information

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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. Electronics 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

  • smart cities
  • internet of things
  • MEC
  • data science
  • NLP
  • ML

Published Papers (1 paper)

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Research

20 pages, 3679 KiB  
Article
An Efficient System Based on Experimental Laboratory in 3D Virtual Environment for Students with Learning Disabilities
by Abir Osman Elfakki, Souhir Sghaier and Abdullah Alhumaidi Alotaibi
Electronics 2023, 12(4), 989; https://doi.org/10.3390/electronics12040989 - 16 Feb 2023
Cited by 9 | Viewed by 2987
Abstract
Virtual reality applications can enhance the education and training of students with learning disabilities, along with their quality of life. Virtual worlds offer opportunities for creating a highly interactive, complex simulation. Modeling and scripting tools can be applied in these worlds. Providing functionalities [...] Read more.
Virtual reality applications can enhance the education and training of students with learning disabilities, along with their quality of life. Virtual worlds offer opportunities for creating a highly interactive, complex simulation. Modeling and scripting tools can be applied in these worlds. Providing functionalities for managing presentations, administration as well as assessment of coursework in an educational context, virtual learning environments support teaching and learning in schools. Learning disabilities such as “dyslexia, dyscalculia, attention issues (ADHD), and disability in retrieving information”, which students need to do physics experiments, are a major source of concern since they impair a person’s ability to learn. Traditional teaching methods do not appear to support the same thought in the situation of students with learning disabilities, who normally need a significant investment of time, money, and people for individual tutoring. Students with this problem have difficulty envisioning or visualizing what they are being taught, in addition to breaking down and processing the material. To address the above issues, this paper develops and evaluates a 3D virtual physics laboratory to improve cognitive skills in physics experiments for students with learning disabilities. The environment is created based on specially designed criteria for disabled students. The study proves the effectiveness of the 3D virtual environment in improving the cognitive skills in the physics of students with learning disabilities. Full article
(This article belongs to the Special Issue Towards Data-Driven Smart Cities)
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