Edgar Jembere
University of KwaZulu-Natal
24 Papers
62 Citations
Edgar Jembere is an academic researcher from University of KwaZulu-Natal. The author has contributed to research in topics: Computer science & Differentiated service. The author has an hindex of 5, co-authored 20 publications. Previous affiliations of Edgar Jembere include University of Zululand & Ulster University.
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Papers
The adoption of social media marketing in South African banks
TL;DR: In this article, the authors examine social media adoption models and social media implementation models being used by South African banks when adopting social media marketing, challenges and opportunities faced are addressed in the paper.
174
The prevalence of chronic kidney disease in South Africa - limitations of studies comparing prevalence with sub-Saharan Africa, Africa, and globally
Sudesh Hariparshad,Rajendra Bhimma,Louansha Nandlal,Edgar Jembere,Saraladevi Naicker,A. Assounga +5 more
TL;DR: In this article , a systematic review with the International Prospective Register of Systematic Reviews for prevalence studies reporting CKD stages III-V from 2013 to 2021 was conducted, where the authors compared the prevalence rates of CKD in South Africa with sub-Saharan Africa, Africa, and globally.
Mining Context-based User Preferences for m-Services Applications
Edgar Jembere,Matthew O. Adigun,Sibusiso S. Xulu +2 more
- 02 Nov 2007
TL;DR: A user preference model and mining framework for a context-aware m-services environment based on an intuitive quantitative preference measure and a strict partial order preference representation is presented.
19
Features of Speech Audio for Accent Recognition
Yuvika Singh,Anban W. Pillay,Edgar Jembere +2 more
- 01 Aug 2020
TL;DR: These five features were used to train a 2-layer Convolution Neural Network on a dataset of five distinct language-accents, namely, Arabic, English, French, Mandarin, and Spanish, and the accuracy of each feature was evaluated and compared and the MFCC yielded the highest accuracy.
16
Performance Modeling of Proposed GUISET Middleware for Mobile Healthcare Services in E-Marketplaces
TL;DR: The results reveal that the unconditional average waiting time remains the same with reduction in waiting time over the non-preemptive priority model in four out of the five classes observed, which is envisaged to be beneficial in mobile healthcare services where events are prioritized and urgent attention is needed to be given to urgent events.