This is broadly the conclusion reached in a report for the Higher Education Funding Council for England that examined whether the next Research Excellence Framework (REF) – the quality measure for universities' research work – could rely mainly on metrics.
The existing routing schemes for delay-tolerant networks (DTNs) mainly utilize metrics such as delay, hop count, and bandwidth.
There are mainly four metrics: time-of-arrival (TOA) or time-of-flight (TOF) [10], time-difference-of-arrival (TDOA) [4, 11], angle-of-arrival (AOA) [12], and received signal strength (RSS) [13].
Alexandru mainly uses metrics related to disk, memory, network and cpu to determine the performance through the analysis of MTC workloads which comprise tens of thousands to hundreds of thousands of tasks.
Next, statistics related to the application performance metrics (mainly referred to as Tinit, frebuf, and Trebuf, which are required to evaluate MOS) are analyzed in detail.
The first component was mainly linked to metrics related to size variability, while the second one was related to border complexity.
When network-related metrics, mainly RTTs, are collected, decentralized learning-based approaches use them to infer a distance between each probing landmark and CSP's location.
Another issue of PCM-based neuromorphic device arises from its fairly poor performance metrics mainly due to immaturities or inefficiencies in currently developed STDP learning algorithm.
However, there is a lack of research quantifying spatial distribution patterns from these classifications, mainly because landscape metrics, which are commonly used to statistically assess these patterns, require bounded classes and cannot be applied directly to soft classifications.
As in other biomes, quantification of biomass depends on relations between lidar metrics (mainly mean or total canopy height) and estimates of plot biomass from field measurements and allometric equations [41,42].
