A systematic review for smart city data analytics
Smart cities (SCs) are becoming highly sophisticated ecosystems at which innovative
solutions and smart services are being deployed. These ecosystems consider SCs as data …
solutions and smart services are being deployed. These ecosystems consider SCs as data …
Semantic models for IoT sensing to infer environment–wellness relationships
Every time an Internet of Things (IoT) solution is deployed, every time a smartphone owner
connects her/his wireless device to a wearable activity-tracker, every time groups of citizens …
connects her/his wireless device to a wearable activity-tracker, every time groups of citizens …
Mobile crowd sensing management with the ParticipAct living lab
The widespread availability of smartphones have enabled the blossom of Mobile Crowd
Sensing (MCS) projects, whose goal is to involve users in participatory tasks aimed at …
Sensing (MCS) projects, whose goal is to involve users in participatory tasks aimed at …
Urban pollution monitoring based on mobile crowd sensing: An osmotic computing approach
A Longo, A De Matteis… - 2018 IEEE 4th …, 2018 - ieeexplore.ieee.org
Traditional urban pollution monitoring systems suffer of the sole presence of fixed stations.
Data gathered from such devices are precise, thanks to the equipment quality and to …
Data gathered from such devices are precise, thanks to the equipment quality and to …
Efficient spark-based framework for big geospatial data query processing and analysis
The exponential amount of geospatial data that has been accumulated in an accelerated
pace has inevitably motivated the scientific community to examine novel parallel …
pace has inevitably motivated the scientific community to examine novel parallel …
Scalable mobile sensing for smart cities: The MUSANet experience
In this article, we present and analyze MUSANet, a hierarchical, distributed, context-aware
architecture for collecting, processing, and distributing data in smart cities. We discuss some …
architecture for collecting, processing, and distributing data in smart cities. We discuss some …
An osmotic computing infrastructure for urban pollution monitoring
A Longo, M Zappatore… - Software: Practice and …, 2020 - Wiley Online Library
Urban pollution control systems suffer from the presence of fixed stations in a greater
number than mobile monitoring devices. Data gathered from such stations provide detailed …
number than mobile monitoring devices. Data gathered from such stations provide detailed …
A crowdsensing campaign and data analytics for assisting urban mobility pattern determination
M de Almeida Buosi, M Cilloni, A Corradi… - … IEEE Symposium on …, 2018 - ieeexplore.ieee.org
The ever-progressing advancements in urban growth and technological development in
recent decades have caused a noticeable increase of the phenomenon of …
recent decades have caused a noticeable increase of the phenomenon of …
Crowdsensing campaigns management in smart cities
The use of information technology is one way to help in solving urban problems, aiming for
the development of smart cities. Crowdsensing mechanism is an important tool in this …
the development of smart cities. Crowdsensing mechanism is an important tool in this …
Smart Loading Zone Applications for Urban Last Mile Delivery
R Wahid - 2020 - odr.chalmers.se
Last mile delivery has become increasingly difficult in urban areas; as population increases
alongside the demand of the citizens, novel and smarter solutions are needed to cope with …
alongside the demand of the citizens, novel and smarter solutions are needed to cope with …