Big Data and AI Services for Sustainable Smart Cities
A special issue of Smart Cities (ISSN 2624-6511).
Deadline for manuscript submissions: 16 December 2024 | Viewed by 90
Special Issue Editors
Interests: smart cities; AI and machine learning; big data analytics; software engineering and test automation; AI testing
Interests: anomaly detection; cloud applications; cloud platform; performance metrics; precision and recall; anomalous behavior; behavioral model; cloud computing; control flow graph; detection of abnormalities; diagnosis
Interests: text mining; graph mining; social networks; healthcare; education
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Technology has the power to transform our world, and this is especially evident in the realm of urban development. The convergence of big data and artificial intelligence (AI) with sustainable smart cities represents a pivotal shift in how we envision and manage urban environments and development. This Special Issue examines the transformative impact of big data-driven AI solutions in creating smarter, more efficient, resilient, and sustainable cities.
The submissions are expected to focus on critical themes such as smart city infrastructure, exploring the integration of IoT devices, data management, and urban planning through data-driven insights. Big data analytics for urban development highlights the role of predictive analytics in optimizing city services, traffic management, and environmental monitoring. AI services in smart cities examines AI-powered citizen engagement, city operations automation, energy efficiency, and public safety enhancements. Citizen-centric smart city solutions emphasize inclusive and accessible AI-driven services, citizen engagement, privacy, and collaborative approaches among the government, the private sector, and citizens. Additionally, sustainable smart city solutions, in balancing both development and ESG achievements, integrate and optimize full-stack concepts, from management systems and operation platforms to infrastructures for secure, safe, reliable, resilient, and green smart cities.
This Special Issue invites discussions on these diverse topics, aiming to shed light on the intricate interplay between big data and AI in fostering sustainable urban futures.
Prof. Dr. Jerry Gao
Dr. Fan**g Meng
Dr. Iraklis Varlamis
Dr. Paul Townend
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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. Smart Cities 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 2000 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 city infrastructure
- big data analytics for urban development
- AI services in smart cities
- citizen-centric smart city solutions
- sustainable smart city solutions
