Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …

Modeling multi-modal high-level intent is important for ensuring diversity in trajectory
prediction. Existing approaches explore the discrete nature of human intent before …

The control of mobile sensor networks uses sensor measurements to update a model of an
unknown or estimated process, which in turn guides the collection of subsequent …

This brief addresses the issue of monitoring physical spatial phenomena of interest using
information collected by a resource-constrained network of mobile, wireless, and noisy …

In this work we study the problem of efficient non-parametric estimation for non-linear time-
space dynamic Gaussian processes (GP). We propose a systematic and explicit procedure …

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

This article explores the implementation of different sampling strategies for a practical
energy‐harvesting wireless device (sensor node) powered by a rechargeable battery. We …

Wireless sensor nodes equipped with multiple sensors often have limited energy availability.
To optimize the energy sustainability of such sensor hubs, in this paper a novel adaptive …

This brief introduces a class of problems and models for the prediction of the scalar field of
interest from noisy observations collected by mobile sensor networks. It also introduces the …

Translating recent advances in abdominal aortic aneurysm (AAA) growth and remodeling
(G&R) knowledge into a predictive, patient-specific clinical treatment tool requires a major …