Sensor-Fed and Human-Centric Artificial Intelligence for Smart Cities
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (15 June 2021) | Viewed by 7485
Special Issue Editors
Interests: pervasive computing; Internet of Things; semantic service middleware; open linked data; social data mining and mobile-mediated; tangible human–environment interaction applied to address societal challenges
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; indoor positioning and navigation; sensor networks; internet of things
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; data science; anomaly/novelty detection; semantic similarity analysis; neural networks/deep learning and condition monitoring
Special Issue Information
Dear Colleagues,
Computer systems based on Artificial Intelligence (AI) are able to perform tasks that resemble, or even improve, the performance achieved by humans. The inclusion of AI has been proven to be effective in tasks such as autonomous driving, gaming, objects, person identification, and speech recognition, just to cite a few examples.
Machine Learning (ML), as a subset of AI, corresponds to a set of techniques that derive models by learning from data. Some fields where ML has been successfully applied are market analysis, recommendation systems, spam detection, and sentiment analysis.
The latest research into Smart Cities has been targeted at improving the way that city infrastructure is managed, with a focus on being more efficient, reliable, and respectful to the environment. Another aim has been to offer updated information to its citizens for them to be aware of and to make better, more informed decisions on the use of urban resources. This has been possible thanks to the use of Information and Communication Technologies (ICTs) and the Internet of Things (IoT) ecosystems. The data acquired by IoT devices, provided by citizens, institutions, and the government, are used to improve citizen services and for better managing urban infrastructures.
In this context, AI and ML play an important role, e.g., in learning from data, creating models based on this data, and reasoning based on new incoming data. However, important issues arise in the context of Smart Cities, such as managing big amounts of heterogeneous data, updating of models based on new trends present in the data, data presentation to final users, and model selection, among others.
This Special Issue seeks cutting edge research from academia, industry, and practitioners, with an emphasis on original, novel, innovative, and impact-oriented research providing insights into making “Sensor-Fed and Human-Centric Artificial Intelligence for Smart Cities” a reality. An area of particular interest to this Special Issue is research that considers how Collective Intelligence can meet Machine Intelligence in order to give place to more user-centric and user-driven intelligence to enable Smart Cities where humans and Internet-connected devices cooperate and influence their behavior in order to promote autonomous life, better energy sustainability, or more sustainable and inclusive cities.
Specifically, this Special Issue welcomes two categories of papers: (1) high quality and significantly extended papers from the International Conference on Smart and Sustainable Technologies 2020 (SpliTech 2020) and 14th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2020); and (2) papers contributed as a result of this open call which address any of the below list of topics. Topics of interest include research on how to enable Sensor-Fed and Human-Centric Artificial Intelligence for Smart Cities, such as the following non-exhaustive list of topics:
- Behavior Change Analysis;
- Internet of Sensing, Thinking, and Creation;
- Human-Centric Computing and Cyber–Physical–Social Systems;
- Crowd Sensing and Human Intelligence;
- Biometric Sensors and Activity Recognition;
- Brain Information Sensing and Processing;
- Personal Big Data Analytics;
- Sentiment Analysis and Affective Computing;
- AI-Powered Smart Devices;
- Ambient-Assisted Cities;
- Personal Internet-Based Healthcare, Wellbeing, and Wellness;
- Ontologies and Knowledge Graphs for Smart Cities;
- IoT Big Data Processing and Urban Computing and Analytics;
- Symbolic AI vs. Machine Learning Approaches for Smart Cities;
- Explainable, Auditable, and Transparent AI;
- Disruptive Technologies for Open Government and Smarter Public Services.
Each paper that is submitted will be reviewed by at least three independent experts. We also recommend submission of supplementary material with each paper, including test data and multimedia, as it significantly increases the visibility, downloads, and citations of articles.
To solicit papers, we will advertise the call at both SplitTech 2020 and UCAmI 2020 conferences, and through mailing lists and our colleagues, including particular colleagues working in the areas related to this Special Issue, to invite submissions of high quality.
Selection and Evaluation Criteria
- Relevance to the topics of this Special Issue
- Research novelty (e.g., new techniques) and potential impact
- Content quality and readability
Dr. Oscar Belmonte
Dr. Yuhua Li
Dr. Unai López Novoa
Guest Editors
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