Technologies for Sustainability in Smart Cities
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 11543
Special Issue Editors
Interests: Neuromorphic Engineering;E-Health;Robotics;Computer Vision;Computer Architecture
Special Issues, Collections and Topics in MDPI journals
Interests: Embedded systems, IoT devices, embedded intelligence, neuromorphic engineering
Interests: neuromorphic engineering; machine learning; deep learning; embedded systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The lack of natural resources, overpopulation in urban areas and the pollution generated in them are worrying aspects that we are dealing with today. The population must be aware of contributing to avoid the disastrous consequences that these events can cause on the planet.
Usually, many of these problems are attributed to the technological expansion and its impact on society. But, as a matter of fact, technological evolution can help alleviate these effects if used properly.
Therefore, this special edition of the journal Sustainability is focused on the use of innovative technologies that, applied in cities, allow to automate and reduce the power consumption of daily activities, monitor traffic, monitor the quality of several environmental parameters and/or be able to analyze this data in order to offer recommendations to improve the parameters indicated before.
To this end, new technologies in the field of machine learning and IoT, among others, could represent new opportunities to improve sustainability.
Dr. Manuel Dominguez-Morales
Prof. Ángel Jiménez-Fernández
Dr. Juan P. Domínguez-Morales
Guest Editors
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Keywords
- Environmental wireless sensors networks
- Big data analysis and machine learning for environmental data
- IoT technologies
- Low-power embedded monitoring systems
- Traffic monitoring
- Air and water quality assessment
- Technologies for energy saving in cities
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