From personalized medicine to population health: a survey of mHealth sensing techniques
Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …
behavioral and health-related information from individuals and to provide timely intervention …
A survey of data fusion in smart city applications
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
A comprehensive survey on mobile crowdsensing systems
Abstract In recent times, Mobile Crowdsensing (MCS) has garnered considerable attention
and emerged as a promising sensing paradigm. The MCS approach leverages the …
and emerged as a promising sensing paradigm. The MCS approach leverages the …
Cluster pruning: An efficient filter pruning method for edge ai vision applications
C Gamanayake, L Jayasinghe… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Even though the Convolutional Neural Networks (CNN) has shown superior results in the
field of computer vision, it is still a challenging task to implement computer vision algorithms …
field of computer vision, it is still a challenging task to implement computer vision algorithms …
Distributed task allocation in mobile device cloud exploiting federated learning and subjective logic
Abstract Mobile Device Cloud (MDC) has become a promising and lucrative cloud
environment that exploit nearby mobile devices' idle resources to improve compute …
environment that exploit nearby mobile devices' idle resources to improve compute …
SDRS: A stable data-based recruitment system in IoT crowdsensing for localization tasks
Mobile Crowdsensing (MCS), an important component of the Internet of Things (IoT), is a
paradigm which utilizes people carrying smart devices, referred to as “workers”, to perform …
paradigm which utilizes people carrying smart devices, referred to as “workers”, to perform …
TrustWorker: A trustworthy and privacy-preserving worker selection scheme for blockchain-based crowdsensing
Worker selection in crowdsensing plays an important role in the quality control of sensing
services. The majority of existing studies on worker selection were largely dependent on a …
services. The majority of existing studies on worker selection were largely dependent on a …
Optimizing task location privacy in mobile crowdsensing systems
X Dong, W Zhang, Y Zhang, Z You… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The location information for tasks may expose sensitive information, which impedes the
practical use of mobile crowdsensing in the industrial Internet. In this article, to our …
practical use of mobile crowdsensing in the industrial Internet. In this article, to our …
SDLSC-TA: Subarea division learning based task allocation in sparse mobile crowdsensing
Sparse mobile crowdsensing (Sparse MCS), a new paradigm for large-scale fine-grained
urban monitoring applications, collects sensing data from relatively few areas and infers …
urban monitoring applications, collects sensing data from relatively few areas and infers …
A Contemporary Survey on Multisource Information Fusion for Smart Sustainable Cities: Emerging Trends and Persistent Challenges
The emergence of smart sustainable cities has unveiled a wealth of data sources, each
contributing to a vast array of urban applications. At the heart of managing this plethora of …
contributing to a vast array of urban applications. At the heart of managing this plethora of …