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Microbiome multi-omics network analysis: statistical considerations, limitations, and opportunities
The advent of large-scale microbiome studies affords newfound analytical opportunities to
understand how these communities of microbes operate and relate to their environment …
understand how these communities of microbes operate and relate to their environment …
Influence blocking maximization on networks: Models, methods and applications
Due to the continuous emergence of various social and trade networks, network influence
analysis has aroused great interest of the researchers. Based on different influence …
analysis has aroused great interest of the researchers. Based on different influence …
Containment of rumor spread in complex social networks
L Yang, Z Li, A Giua - Information Sciences, 2020 - Elsevier
Rumors can propagate at great speed through social networks and produce significant
damages. In order to control rumor propagation, spreading correct information to …
damages. In order to control rumor propagation, spreading correct information to …
Coupling resource management based on fog computing in smart city systems
The smart city is set to be the next important stage in human history. It consists of numerous
Cyber-physical systems (CPS) that can be endowed with different levels of intelligence …
Cyber-physical systems (CPS) that can be endowed with different levels of intelligence …
STMTO: A smart and trust multi-UAV task offloading system
As one of promising distributed multi-robot system, Unmanned Aerial Vehicles (UAVs) can
collaborate to offload complex tasks in edge networks. A Smart and Trust Multi-UAV Task …
collaborate to offload complex tasks in edge networks. A Smart and Trust Multi-UAV Task …
A trajectory privacy-preserving scheme based on a dual-K mechanism for continuous location-based services
Location-based services (LBSs) have increasingly provided by a broad range of devices
and applications, but one associated risk is location disclosure. To solve this problem, a …
and applications, but one associated risk is location disclosure. To solve this problem, a …
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 …
Hedonic and utilitarian benefits as determinants of the application continuance intention in location-based applications: The mediating role of satisfaction
The increase in the number of social media users and smartphone usage has a positive
relationship with the diversity of applications. People use mobile applications that provide …
relationship with the diversity of applications. People use mobile applications that provide …
A trustworthiness-based vehicular recruitment scheme for information collections in distributed networked systems
Because of high mobility, large number of vehicles are utilized to achieve timely and quality-
based information in the smart Internet of Things, which has formulated into a dynamic …
based information in the smart Internet of Things, which has formulated into a dynamic …
Deep learning based feature extraction and a bidirectional hybrid optimized model for location based advertising
The Location based advertising (LBA) is a new and commercial scheme for advertisers to
get the information via personalized texts which is sent openly to mobile phones by their …
get the information via personalized texts which is sent openly to mobile phones by their …