The phrase "assess network" is correct and usable in written English.
It can be used when referring to the evaluation or analysis of a network, such as a computer network or social network, to determine its performance, security, or structure.
Example: "Before implementing the new software, we need to assess the network to identify any potential vulnerabilities."
Alternatives: "evaluate network" or "analyze network".
Therefore, quality control assessment (QCA) will be required to assess network performance.
Analysts are struggling to assess Network of the World because its ambitions are so great and its starting point is so modest.
We assess network structure and health on a national scale, evaluate the utility of a novel "sensor network" approach to predicting epidemics, and investigate how the structure and function of online networks is relevant to health and behavior change.
Using the inference abilities of the ontological model, an efficient system framework is proposed to generate attack graphs and assess network security.
This domain was studied intensively over the 6.5 week SMAPVEX12 ground campaign in June/July 2012, providing coincident soil moisture datasets to assess network up-scaling over the domain.
These finite state network abstractions are then processed with efficient algorithms that use formal analytic methods from theoretical computer science to assess network vulnerability.
Our objective was to assess network-level variation using California perinatal care regions as a proxy.
The estimated route choice probability model may be incorporated within a dynamic traffic assignment and simulation framework to assess network-level impacts of the enhanced expressway VMS information and estimate VMS benefits.
This helps explain the prevalence of networks in certain markets as compared to others, and gives tools to assess networks' ability to self-regulate and anticipate the type of opportunism that is more likely to plague a given environment.
Systems biology can have many applications; we refer to its use to obtain biological information through utilizing whole-genome transcriptome analysis to assess networks and their interactions through the use of computational methods.
It is also the group that ABC itself counts as the only important factor in assessing network success.
