COVID-19 literature knowledge graph construction and drug repurposing report generation
To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant
biomedical knowledge in scientific literature to understand the disease mechanism and …
biomedical knowledge in scientific literature to understand the disease mechanism and …
Credit and quality intelligent learning based multi-armed bandit scheme for unknown worker selection in multimedia MCS
The field of intelligent multimedia systems, which rely heavily on multimodal models trained
on large amounts of high-quality data, has been revolutionized by the use of deep learning …
on large amounts of high-quality data, has been revolutionized by the use of deep learning …
Enabling efficient and strong privacy-preserving truth discovery in mobile crowdsensing
Mobile crowdsensing has emerged as a popular platform to solve many challenging
problems by utilizing users' wisdom and resources. Due to user diversity, the data provided …
problems by utilizing users' wisdom and resources. Due to user diversity, the data provided …
DLFTI: A deep learning based fast truth inference mechanism for distributed spatiotemporal data in mobile crowd sensing
Abstract The paradigm of Mobile Crowd Sensing (MCS) allows for numerous applications
with distributed spatiotemporal data, where great attention is drawn to the fundamental …
with distributed spatiotemporal data, where great attention is drawn to the fundamental …
TDTA: A truth detection based task assignment scheme for mobile crowdsourced Industrial Internet of Things
Abstract Mobile Crowdsensing (MCs), a promising strategy for intelligent data collection and
task computing, is conducive to constructing industrial system and providing industrial …
task computing, is conducive to constructing industrial system and providing industrial …
SCTD: A spatiotemporal correlation truth discovery scheme for security management of data platform
The continuous development of mobile sensing devices enables them to quickly perceive a
large amount of data, forming a promising mobile crowd sensing (MCS) platform for large …
large amount of data, forming a promising mobile crowd sensing (MCS) platform for large …
TVD-RA: A truthful data value discovery based reverse auction incentive system for mobile crowd sensing
Emerging crowdsensing paradigm enables a large number of sensing applications, where
much attention is drawn to the fundamental problems for maximizing the system utility and …
much attention is drawn to the fundamental problems for maximizing the system utility and …
Truth based three-tier Combinatorial Multi-Armed Bandit ecosystems for mobile crowdsensing
Abstract Many Multi-Armed Bandit (MAB) based workers selection schemes have been
proposed to select high-quality workers to enhance the quality of tasks. However, in Mobile …
proposed to select high-quality workers to enhance the quality of tasks. However, in Mobile …
Crowdlearn: A crowd-ai hybrid system for deep learning-based damage assessment applications
Artificial Intelligence (AI) has been widely adopted in many important application domains
such as speech recognition, computer vision, autonomous driving, and AI for social good. In …
such as speech recognition, computer vision, autonomous driving, and AI for social good. In …
A decentralized trust inference approach with intelligence to improve data collection quality for mobile crowd sensing
Abstract Mobile Crowd Sensing (MCS) has been recognized as a promising param to
construct numerous applications by employing enormous workers to perceive and collect …
construct numerous applications by employing enormous workers to perceive and collect …