Browsing by Subject "Clustering"
Now showing items 1-9 of 9
-
Cloud-based business intelligence for a cellular IoT network
(IEEE, 2019)This paper presents a cloud-based business intelligence (BI) implementation for a cellular Internet of Things (IoT) network. A Design Science Research (DSR) paradigm, combined with elaborated Action Design Research (eADR) ... -
A cluster-based Bayesian approach to reliable route discovery in large-scale mobile ad hoc networks
(2021)The application of MANETs have become a central point of focus in the development of wireless networks. However, MANETs still face the challenge of reliable route discovery in large-scale networks under adverse node failure ... -
Clustering as model for effective mannagement [sic] of schools in Namibia
(North-West University, 2006)This research study is based on the cluster system model for effective management of schools in Namibia. with special reference to Erongo Education Region. The cluster system introduces a new perspective on the way the ... -
CRSN Energy-Efficient Mechanism Based on Dynamic Spectrum Access and Asynchronous Sleep-Wake Scheduling
(North-West University (South Africa), 2020)Cognitive Radio Sensor Network (CRSN) is considered as a viable wireless networking paradigm solution to address the issues of spectrum underutilization and uncontrollable interferences in Wireless Sensor Network (WSN) due ... -
Exploring neural network training dynamics through binary node activations
(Southern African Conference for Artificial Intelligence Research, 2020)Each node in a neural network is trained to activate for a specific region in the input domain. Any training samples that fall within this domain are therefore implicitly clustered together. Recent work has highlighted ... -
A motivation-based typology of triathletes
(SA Association for Movement & Leisure Science, 2014)Ironman South Africa is the only Ironman on the African continent which takes place every April in Nelson Mandela Bay (Eastern Cape Province), with nearly 2 000 athletes participating. The purpose of this research was to ... -
Optimization of passive optical network planning for fiber–to–the–home applications
(North-West University, 2013)Passive optical networks (PONs) are point-to-multipoint networks where a single Central Office (CO) is connected to a number of downstream Optical Network Units (ONUs) via a single optical fiber by splitting the optical ... -
A semi-supervised segmentation algorithm as applied to k-means using information value
(ORSSA, 2017)Segmentation (or partitioning) of data for the purpose of enhancing predictive modelling is a well-established practice in the banking industry. Unsupervised and supervised approaches are the two main streams of segmentation ... -
Semi-supervised segmentation within a predictive modelling context
(North-West University (South Africa) , Potchefstroom Campus, 2017)Industry standards and best practices on robust model development have been refined over many years. Even though many software tools are available to simplify the process today, developing a practically implementable ...