Mobile Computing, Applications, and Services
Description
The 9 full papers were carefully reviewed and selected from 25 submissions. The papers are organized in topical tracks: mobile computing; machine learning/deep learning; dependable systems; and emerging applications.
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Content
Mobile Computing .- Configuring unconnected embedded devices with smartphones.- Decentralized federated learning methods for reducing communication cost and energy consumption in UAV networks.- Centralized multicasting AODV routing optimized for intermittent cognitive radio ad hoc networks.- Machine Learning/Deep Learning .- YouBrush: Leveraging Edge-Based Machine Learning In Oral Care.- Construction and Evaluation of a Return Prediction Model for One-Way Car Sharing.- Dependable systems .- A Bi-directional Attribute Synchronization Mechanism for Access Control in IoT Environments.- Fault tolerance in cloud manufacturing: An overview.- Emerging Applications .- Investigating the Adoption of Mobile Government from Citizen's Perspectives in Saudi Arabia.- Search by Pattern in GPS Trajectories.
