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Interoperability solutions combined with portal technology offer solutions but are typically cumbersome; RESWO provides a model for efficient deployment of such environments.
However, interference is still one of the biggest challenges and its management is very crucial for efficient deployment of network elements and performance enhancement in certain areas.
In a realistic LTE-Advanced scenario, the network will combine multiple radio access technologies (RATs), frequencies and cell sizes for efficient deployment [35] and the UEs carry out parameter measurement for multi-RAT intra-/interfrequency mobility.
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A main issue for the efficient deployment of smart grids is the design of DSM [5].
Frequency assignment is one of the key problems for the efficient deployment, operation, and management of wireless networks.
Another important benefit of the crime science approach is that it offers a platform for the efficient deployment of limited resources since it identifies concentrations to which prevention tactics can be targeted and stand to have the greatest impact.
Sharing data and knowledge about coupled processes and the joint development and operation of underground field laboratories is therefore key for an efficient deployment of geothermal energy from the roots of presently exploited geothermal reservoirs.
At the service delivery level, the Assessment recommended strategic reviews of cold chain management and the implementation of plans for more efficient deployment, management and maintenance of cold chain equipment and resources.
In coffee, to the best of our knowledge till date only ca. 180 genomic SSRs have been described in literature [ 4- 11] warranting continuous efforts to develop additional new markers to expand the existing repertoire for their efficient deployment in genetic studies in coffee.
Hewlett-Packard just rolled out its new package of so-called "converged infrastructure," which it says will make for cheaper, more efficient deployment and management of large data centers.
The critical problems with many of these services include the barriers involved in transferring large amounts of data (terabytes) and the lack of efficient mechanisms for agile and efficient deployment and management of innovative analytics platforms, including open-source machine learning, data wrangling, classification and visualization tools [63 65].
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