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A dense temporary OBS network was deployed after the Tohoku-Oki earthquake above the large slip area.
The best network was deployed to the unseen data and found to be capable of predicting velocity data via the sliding window technique successfully.
Results shown in the article are with real data and correspond to an experimental setup where the wireless sensor network was deployed.
Just after this earthquake, a dense aftershock observation network was deployed in and around the focal region by the Group for aftershock observations of the Iwate-Miyagi Nairiku earthquake of 2008.
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A sensor network is deployed to acquire the plant output by collaborating with their neighbors according to a given network topology.
The objective of this paper is to present the design of an architecture where a wireless sensor network is deployed to survey a large date palm forest.
When a sensor network is deployed in a hostile environment, an adversary may launch such attacks as eavesdropping the communications and compromising sensor nodes.
The results show that, when a dense seismic network is deployed in the fault area, PRESTo can produce reliable estimates of earthquake location and size within 5 6 s from the event origin.
The first phase after the network is deployed is network initialization.
In practice, macro network is deployed usually without awareness of the distributed femto network.
After the network is deployed, a virtual ring structure consisted of nodes is built.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com