The phrase "a set of networked" is correct and usable in written English.
It can be used when referring to a collection of interconnected items, systems, or devices, often in a technological or organizational context.
Example: "The company has developed a set of networked devices that communicate seamlessly with each other."
Alternatives: "a collection of interconnected" or "a group of linked".
This paper describes a multi-agent system to assure the operation efficiency and reliability in data fusion and management of a set of networked distributive sensors (NDS).
The paper considers the problem of determining a suitable link structure for a set of networked interdependent processes, then providing a simplified description for their unknown underlying topology, also giving useful insights about their mutual influences.
Imagine, for the moment, a set of networked, self-correcting computers, programmed to pursue a deliberately vague, long-term goal: say, "Make as many significant calculations as you can, and try to make more than any other computer in the lab," with "significant" left deliberately multivalent, open-ended.
The general multi-reader scenario is depicted in Fig. 7 a, where a set of networked readers scan a certain region of interest.
A useful metaphor for describing transactive memory is a set of networked computers each containing different information but with a common directory [ 23].
At a high level, the network serves for localization of the process faults, and at a low level, a set of networks identifies the causes of these faults.
To support this work, we introduce two classes of metrics: (1) a set of tracking performance metrics, and (2) a set of network architecture efficiency metrics.
In this paper we provide a preliminary design of an optimization model by applying metaheuristic algorithms to a set of networks corresponding to a real-world case study.
The annotation similarity was initially calculated using trigrams in conjunction with a synonym list, generating a set of networks formed from the links between related tags.
We investigate the efficiency of the algorithms for a set of network and DPP scenarios and we show that the proposed algorithms outperform other reference algorithms.
