The term "network cluster" is a valid and usable phrase in written English.
It typically refers to a collection of interconnected nodes or computers that are connected and can share resources. For example, "We set up a network cluster to connect computers in multiple offices across the country."
The largest clustered network (cluster d, Figure 1) consisted of both sensorimotor and visual regions, combining these regions in a single RSN.
The results showed that both network degree and network cluster significantly affected information dissemination frequency.
Network cluster detection was performed based on CFinder 2.0.6, and DAVID was applied to analyse the GO enrichment of gene functions (https://david.ncifcrf.gov/).ncifcrf.gov/
Results from both computer simulation and actual machine data are presented to show the performance of the neural network cluster and the Particle Swarm Optimization algorithm.
The use of the Extended Kalman Filter method, for training, ensures that the neural network cluster used can be re-trained online to make the fault diagnosis system adapt to changing operational conditions.
Regarding portability, both models (serial and parallel) have been successfully executed on two different computing environments: an SMP (Symmetric Multi-Processor) with 14 processors and a 14-processor network cluster.
Each CH will form a network cluster.
One such challenge in the memristive system is a state-dependent nonlinear network cluster [11].
Fig. 1 A sensor network cluster (fog computing) at the energy (heating) station.
In [30], the authors propose a comparison-based fault locating arithmetic for multisource network cluster nodes.
However, little attention has been paid to the switched network cluster [41].
