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Modern mobile healthcare systems, supported by information and communication technologies, provide solutions for improving illness prevention, facilitating chronic disease management, empowering patie...
The inconsistency between the freely available remote sensing datasets and crowd-sourced data from the resolution perspective forms a big challenge in the context of data fusion. In classical classifi...
As we step into the era of the Internet of Things (IoT) where devices communicate with other devices to support tasks of humans, ubiquitous interaction as was envisioned by Mark Weiser is becoming a r...
The 2017 IEEE International Conference on Networking, Sensing and Control will be held in Calabria, Southern Italy. This conference will provide a remarkable opportunity for the academic and industria...
We consider the problem of recovering sparse correlated data on networks. To improve accu-racy and reduce costs, it is strongly desirable to take the potentially useful side-information of network str...
Compressive Sensing is a technique that can help reduce the sampling rate of sensing tasks. In mobile crowdsensing applications or wireless sensor networks, the resource burden of collecting samples i...
‘Approximate message passing’ algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements. Extensive numerical experiments furthe...
This article considers the problem of reconstructing cone-beam computed tomography (CBCT) images from a set of undersampled and potentially noisy projection measurements. The authors cast the reconstr...
For water color remote sensing study of inland water body, terrestrial satellite is often a good data source, because it has high spatial resolution. However, the precision of water color remote sens...
The paper describes the resulst of recent experiments of a project that deals with the combined use of high resolution satellite images, Quickbrid, and laser scanner data to analyse urban images. The...
A recently instituted National Park, in Southern Italy, is offering a wide experience in landscape knowledge and planning from multiple sources finalized to the environmental analysis. The study is c...
This study investigates the feasibility of deploying wireless communication and embedded computing for structural control applications. A feedback structural control system involves a network of senso...
This study explores decentralized structural control using wireless sensors and controllers.In a decentralized control scheme, control decisions are based upon data acquired from sensors located in th...
Advances in wireless communication and embedded computing technologies can have significant impacts in structural sensing, monitoring and control. Prior research efforts have demonstrated the benefits...
Structural sensing, monitoring and control can benefit from wireless communication and embedded computing technologies in terms of installation cost and time. Our prior research has developed low-cost...

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