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An Embedded Crowdsensing Unit for Mobile Urban Pollution Monitoring
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MEC-based architecture for interoperable and trustworthy internet of moving things
The expansion of the Internet of Moving Things (IoMT) leads to limitless and continuous working playgrounds exploited by highly dynamic …
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Urban crowdsensing by personal mobility vehicles to manage air pollution
The digitalization of cities and the development of smart, green, and integrated transport are societal challenges to transform cities …
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Evaluation platform for 5G vehicular communications
Cellular vehicle to everything (C-V2X) communications is presented as the cornerstone for next-generation connected vehicles. C-V2X can …
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TinyML-Based Fall Detection for Connected Personal Mobility Vehicles
A new wave of electric vehicles for personal mobility is currently crowding public spaces. They offer a sustainable and efficient way …
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Who is wearing me? TinyDL-based user recognition in constrained personal devices
Abstract Deep learning (DL) techniques have been extensively studied to improve their precision and scalability in a vast range of …
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LPWAN and Embedded Machine Learning as Enablers for the Next Generation of Wearable Devices
The penetration of wearable devices in our daily lives is unstoppable. Although they are very popular, so far, these elements provide a …
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Machine learning-based radio access technology selection in the Internet of moving things
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MECANO: Eco-Efficient Mobility for Connected Citizens
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