AUST Institutional Repository
Welcome to the African University of Science and Technology, Institutional Repository. This is a digital archive service of the AUST Library for the preservation and promotion of research record and supporting research data at AUST. This service also collects, preserves, and distributes the academic output and research materials produced or maintained by AUST.
The AUST Repository includes
- Journal Articles (Pre-Prints and Post Prints)
- Conference Papers
- Thesis and Dissertations
- Datasets resulting from Research Projects
- Research and Publications
- Seminars and Workshops
Contributing your research to the AUST IR is easy. Contact the AUST Library to get you stated
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Adhesion and Optoelectronic Properties of Organic Light Emitting Devices (OLEDs) and Hybrid Organic-Inorganic Light Emitting Devices (HOILEDs) with Tio 2 Nano-Particles (2010-12-17)This study examines the basic operation of an Organic Light Emitting Device (OLED) and Hybrid Organic-Inorganic Light Emitting Devices (HOILED) by looking at the individual characteristics of the each layer which makes up ...
(2017-11-25)Road Accidents are on the rise due to the high amount of migration from the rural area to the urban areas, Urbanization people are now finding it easier to own cars and use it for their day to day activities. Due to that ...
A Real-Time Data Stream Processing Model for a Smart City Application Leveraging Intelligent Internet of Things (IOT) Concepts (2017-12-15)Due to the vast amount of data that is being generated by the sensors through the smart devices in smart cities, streams of data must be processed in real time to gain insight quickly and to make decisions that are in most ...
A Predictive Model for Electricity Consumption in University Campuses using Artificial Neural Networks (A Case Study) (2017-12-15)Energy efficiency is paramount in the quest to achieve sustainable development in the 21st century. Statistics in recent research have shown that in many sectors in any nation’s economy, which include buildings, industries ...
(2017-12-15)Many studies have shown that smart homes can use energy more efficiently than traditional buildings. Thus, several researchers have advocated building a smart home in order to reduce energy consumption. In the literature, ...