Microbiome multi-omics network analysis: statistical considerations, limitations, and opportunities

D Jiang, CR Armour, C Hu, M Mei, C Tian… - Frontiers in …, 2019 - frontiersin.org
The advent of large-scale microbiome studies affords newfound analytical opportunities to
understand how these communities of microbes operate and relate to their environment …

Influence blocking maximization on networks: Models, methods and applications

BL Chen, WX Jiang, YX Chen, L Chen, RJ Wang… - Physics Reports, 2022 - Elsevier
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 …

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 …

Coupling resource management based on fog computing in smart city systems

T Wang, Y Liang, W Jia, M Arif, A Liu, M **e - Journal of Network and …, 2019 - Elsevier
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 …

STMTO: A smart and trust multi-UAV task offloading system

J Guo, G Huang, Q Li, NN **ong, S Zhang, T Wang - Information Sciences, 2021 - Elsevier
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 …

A trajectory privacy-preserving scheme based on a dual-K mechanism for continuous location-based services

S Zhang, X Mao, KKR Choo, T Peng, G Wang - Information Sciences, 2020 - Elsevier
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 …

A decentralized trust inference approach with intelligence to improve data collection quality for mobile crowd sensing

X Yang, Z Zeng, A Liu, NN **ong, T Wang, S Zhang - Information Sciences, 2023 - Elsevier
Abstract Mobile Crowd Sensing (MCS) has been recognized as a promising param to
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

G Akel, E Armağan - Multimedia Tools and Applications, 2021 - Springer
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 …

A trustworthiness-based vehicular recruitment scheme for information collections in distributed networked systems

T Li, A Liu, NN **ong, S Zhang, T Wang - Information sciences, 2021 - Elsevier
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 …

Deep learning based feature extraction and a bidirectional hybrid optimized model for location based advertising

V Rohilla, S Chakraborty, R Kumar - Multimedia Tools and Applications, 2022 - Springer
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 …