Fog computing has proved its importance over legacy cloud architectures for computation,
storage, and communication where edge devices are used to facilitate the delay-sensitive …

In mobile crowdsensing, many mobile devices are collectively used to complete complex
sensing tasks. Most tasks require users to consume resources to ensure continuous …

At the moment, Web applications operating on smart phones create huge amounts of data
that may be processed on the Cloud. Yet, one of a Cloud's core limitations is its connection …

Location Dependent Mobile Crowdsensing (LDMC) often needs to collect data at different
time points in various regions to ensure the coverage of sensing data. An incentive …

Clouds are the most powerful computation architecture; nevertheless, some applications are
delay sensitive and need real time responses. Offloading tasks from user device to the cloud …

The combination of the edge computing paradigm with Mobile CrowdSensing (MCS) is a
promising approach. However, the selection of the proper edge nodes is a crucial aspect …

The aim of the research is to review track and field training, care and rehabilitation
programmes in Jamaican schools in order to characterize training regimes, injuries, and …

Целью исследования является изучение легкоатлетической подготовки, программ по
уходу и реабилитации в школах Ямайки с целью составления характеристики …

The aim of the research is to review track and field training, care and rehabilitation
programmes in Jamaican schools in order to characterize training regimes, injuries, and …