Sentence examples for mobile sensing agents from inspiring English sources

In this paper, we consider the problem of predicting a large scale spatial field using successive noisy measurements obtained by mobile sensing agents.

An adaptive sampling strategy is presented for mobile sensing agents to find the most informative locations in taking future measurements in order to minimize the prediction error and the uncertainty in hyperparameters simultaneously.

So, Xu Y.F. et al. [9] proposed a prediction scheme, which could predict a large-scale spatial field using successive noisy measurements obtained by mobile-sensing agents.

Sensing Agents sense proximity to other STEM or Non-STEM agents based on agent migration across the model space.

Mobile sensing can be divided into two sensing paradigms (Lane et al. 2008).

It provides many amazing applications on mobiles, such as high-resolution mobile videos [1], age estimation [2], human-mobile interaction [3], and mobile sensing for object recognition [4].

Mobile crowdsensing has facilitated ubiquitous mobile sensing applications between humans and the surrounding physical world as a convenient and economical sensing technology.

Realistically, there are few situations in which it makes sense to have on-demand mobile agents, so we assume passive mobility with stochastic evolution.

The control objective is to make a group of mobile agents cover and sense a sequence of regions of interest.

Her research interests focus on coordination of mobile autonomous agents.

PayFazz works by verifying people to become mobile bank agents.