Special Issues

Informatics publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors, who are experts on the topic and all Special Issue submissions follow MDPI's standard editorial process. The journal’s Editor-in-Chief and/or designated Editorial Board Member will oversee Guest Editor appointments and Special Issue proposals, checking their content for relevance and ensuring the suitability of the material for the journal. The papers published in a Special Issue will be collected and displayed on a dedicated page of the journal’s website. Further information on MDPI's Special Issue polices and Guest Editor responsibilities can be found here. For any inquiries related to a Special Issue, please contact the Editorial Office.

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Digital Society: Interdisciplinary Insights and Applications of Wireless Connectivity submission deadline 30 Sep 2024 | 1 articles | Viewed by 2374 | Submission Open
Keywords: wireless communication systems; ubiquitous tools; human– computer interaction; medical informatics; smart devices proliferation; internet of things
Innovations in Automated Deception Detection
edited by and Justyna Sarzyńska-Wawer
submission deadline 30 Sep 2024 | Viewed by 283 | Submission Open
Keywords: deception detection; automated fact checking; computer-based claim verification; fake news detection; recognizing opinion spam; NLP for fake news detection; video and image processing for deception detection
The Smart Cities Continuum via Machine Learning and Artificial Intelligence
edited by and
submission deadline 31 Dec 2024 | 2 articles | Viewed by 3433 | Submission Open
Keywords: smart city; machine learning; artificial intelligence; Big Data; Artificial Intelligence of Things (AIoT); Industrial Internet of Things (IIoT); cybersecurity; privacy; next-generation networks; open data
(This special issue belongs to the Section Machine Learning)
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