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Australia, for example, has large-scale coverage only of its populated coastal areas in the east; in the Outback areas 1 250,000-scale maps are considered adequate for most needs, and a program for their production is well under way.
Recently, the pressing desire to provide cost-effective solutions aimed at supporting high-throughput broadband wireless access with large-scale coverage has significantly changed the notion of the traditional cellular systems.
This kind of integration: large-scale coverage, decentralised and multi-hop architecture, multi-radios, multi-channel assignments, ad hoc connectivity support the maximum freedom of users to join or leave the network from anywhere and at anytime has made the situation far more complex.
Other benefits lie in the comparability of a standardized sampling effort and the practicality of how many replicate samples can feasibly be processed if large-scale coverage is the goal.
The aim to achieve large-scale coverage in a short time may have crowded out concerns for a more systematic management of programmes (e.g. routine immunization) and quality of provided infrastructure and services (e.g. in WES).
Though the cell microarrays have slowly evolved to become a more widely accepted screening technology, in many publications, the individual arrays have contained only a modest number of samples, and data from multiple small arrays have been combined for large-scale coverage due to technological limitations of the methods [ 16, 20, 21].
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The potential of Landsat's large scale coverage and long time series for forest monitoring has recently been demonstrated [10].
In this article, we consider the problem of large scale coverage of unknown environments using multi-robotic system.
The large scale coverage and multi-hop architecture of wireless mesh networks (WMNs) are such characteristics which are vulnerable to network layer threats.
In this article, we consider the problem of large scale coverage of unknown environments using MRS, where simple robots are modeled as the agents in a multi-agent system (MAS) Macal and North (2005).
The potential of Landsat's large scale coverage and long time series for forest monitoring has recently been demonstrated [ 10].
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