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
Communities in DSpace
Select a community to browse its collections.
(2017-11-12)The foundation of many of today’s programming languages is the C/C++ language, due to its success and directives that span across several programming paradigms, conceptual models and runtime environments. Smart devices ...
(2017-12-12)Having a central database for Nigeria which organizations can rely on for identification/verification purposes has been a plan in the pipeline for many years now. This has become urgent because of the nation’s current ...
(2017-12-09)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, ...
(2017-11-22)Deep Neural Networks are now deployed for many modern artificial Intelligence applications including computer vision, speech recognition, self-driving cars, cancer detection, gaming and robotics. Inspired by the mammalian ...
Enhancing Prediction Accuracy of a Multi-Criteria Recommender System using Adaptive Genetic Algorithm (2017-12-12)Recommender systems are powerful intelligent systems considered to be the solution to the problems of information overload. They provide users with personalized lists of recommended items, using some machine learning ...