Data-Driven AI Approaches with Applications in Social Network, Media Analytics and Smart Cities
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 August 2024 | Viewed by 180
Special Issue Editors
Interests: AI; digital signal processing
Interests: applied AI in automation, agriculture, health and finance; cloud computing; Internet of Things; cyber security and forensics; standardization of AI technologies; information theory
Special Issue Information
Dear Colleagues,
The ever-increasing complexity of networked systems in today's interconnected universe presents a significant challenge in understanding their structure and dynamics. Addressing this challenge requires advanced computational predictive analytics and data-driven methodologies to characterize and predict phenomena across various spatiotemporal scales.
This Special Issue seeks to showcase recent advancements, applications, and contributions in the fields of Artificial Intelligence (AI), machine learning methods, data analysis, big data analytics, and computational complexity. We encourage submissions that explore topics such as advanced data analysis and visualization in complex models, big data analysis using multifractal and fractional calculus methods, and AI approaches for real-world scenarios.
We welcome contributions on a wide range of topics including fractional calculus and complex systems, optimization algorithms for complex systems, machine learning applications in complex data, AI applications in signal processing, and advanced computational imaging.
Researchers and practitioners are invited to submit original research articles, reviews, or case studies to this Special Issue. All submissions will undergo a rigorous peer-review process to ensure high scientific quality and will be published online in an open-access format.
We look forward to receiving your valuable contributions to this Special Issue, which promises to advance our understanding of data-driven AI approaches and their applications in complex systems.
Prof. Dr. Lichuan Liu
Prof. Wei Li
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. 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
- artificial intelligence (AI)
- machine learning
- data analysis
- big-data analytics
- data-driven application
