Group level –For group metrics, the fluidity is the median fluidity of the individuals within the group. As such, fluidity can be calculated for any grouping of individuals, whether from HR attributes or workgroups determined from natural communication patterns. Network Level –The fluidity for the...
17k Accesses 35 Citations 51 Altmetric Metrics details Abstract When we remember events, we often do not only recall individual events, but also the connections between them. However, extant research has focused on how humans segment and remember discrete events from continuous input, with far less...
Middleware - Tool designed to help engineering leaders measure and analyze the effectiveness of their teams using the DORA metrics. (Source Code) Apache-2.0 Docker/Python/Nodejs Mixpost - Self-hosted social media management software. Easily create, schedule, publish, and manage social media content...
Enhancing Quality Developing High Quality Video ApplicationsWorking with VP8 SimulcastUsing the Track Priority APIUsing the Network Bandwidth Profile APIVideo Regions and Global Low LatencyUsing the Network Quality APINoise Cancellation Reconnection States and Events ...
You can configure NTM to periodically rescan your network to keep your diagrams up to date. It integrates easily with other programs, and it offers a robust reporting system so you can track metrics, from device inventory to network performance, all while helping keep you PCI compliant. ...
13k Accesses 33 Altmetric Metrics details Abstract Mindfulness training has been shown to improve attention and change the underlying brain substrates in adults. Most mindfulness training programs involve a myriad of techniques, and it is difficult to attribute changes to any particular aspect of the ...
Some metrics (such as audio/video service performance metrics) need to be preliminarily analyzed on edge devices. 17 Key Functions ⚫ Data reporting: Network devices report collected metric data to the Huawei Qiankun CloudService platform. ⚫ Data storage: The Huawei Qiankun CloudService...
Performance Characteristics of Models for Predicting In-Hospital Mortality in Acute Myocardial Infarction View LargeDownload CharacteristicLogistic regressionLASSONeural networkXGBoostMeta-classifier Variables included in the model of McNamara et al Model performance metrics AUROC (95% CI) 0.878 (0.875-0.881)...
graphs exist when comparing their betweenness as well as transitivity values. In fact, in the women-only community betweenness centralization is highest (0.1490), meaning that in this network a few so-called broker festivals screen films, which are only screened at a small number of other ...
1521 Accesses 2 Citations Explore all metrics Abstract The Echo state network (ESN) is an efficient recurrent neural network that has achieved good results in time series prediction tasks. Still, its application in time series classification tasks has yet to develop fully. In this study, we work...