Machine learning algorithms for social media analysis: A survey
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
[HTML][HTML] Game theory in mobile crowdsensing: A comprehensive survey
Mobile CrowdSensing (MCS) is an emerging paradigm in the distributed acquisition of smart
city and Internet of Things (IoT) data. MCS requires large number of users to enable access …
city and Internet of Things (IoT) data. MCS requires large number of users to enable access …
Trust evaluation mechanism for user recruitment in mobile crowd-sensing in the Internet of Things
Mobile crowd-sensing (MCS) has appeared as a prospective solution for large-scale data
collection, leveraging built-in sensors and social applications in mobile devices that enables …
collection, leveraging built-in sensors and social applications in mobile devices that enables …
Task recommendation in crowdsourcing systems: A bibliometric analysis
Existing studies on task recommendation in crowdsourcing systems provide additional
insights into the field from their perspectives, methodologies, frameworks, and disciplines …
insights into the field from their perspectives, methodologies, frameworks, and disciplines …
On designing context-aware trust model and service delegation for social internet of things
Social Internet of Things (SIoT) an emerging Internet-of-Things (IoT) service infrastructure,
which integrates the social concept into IoT systems for enhancing service efficiency. By …
which integrates the social concept into IoT systems for enhancing service efficiency. By …
Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices
A small variation in mobile hardware and software can potentially cause a significant
heterogeneity or variation in the sensor data each device collects. For example, the …
heterogeneity or variation in the sensor data each device collects. For example, the …
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 …
Inhomogeneous Poisson Sampling of Finite-Energy Signals With Uncertainties in
F Zabini, A Conti - IEEE Transactions on Signal Processing, 2016 - ieeexplore.ieee.org
Spatiotemporal signal reconstruction from samples randomly gathered in a multidimensional
space with uncertainty is a crucial problem for a variety of applications. Such a problem …
space with uncertainty is a crucial problem for a variety of applications. Such a problem …
[HTML][HTML] A bidirectional trust model for service delegation in social internet of things
As an emerging paradigm of service infrastructure, social internet of things (SIoT) applies the
social networking aspects to the internet of things (IoT). Each object in SIoT can establish the …
social networking aspects to the internet of things (IoT). Each object in SIoT can establish the …
Apollon: Towards a citizen science methodology for urban environmental monitoring
The collaborative power of ICT systems is a key enabler of social and technological
advances providing multiple opportunities for public involvement in participatory activities …
advances providing multiple opportunities for public involvement in participatory activities …