Prediction of Nigerian stock market is almost not done by any researcher and is an important factor which can be used to determine the viability of Nigerian stock market. In this paper, the prediction models were developed using Artificial Neural Network. The result of the prediction of Nigerian Stock Exchange (NSE) market index value of selected banks using Artificial Neural Network was presented. The multi-layer feed forward neural network was used, so that each output unit is told what its desired response to input signals ought to be. This work has confirmed the fact that artificial neural network can be used to predict future stock prices. The data collection period is from 2003 to 2006.

Waste management has to do with handling of solid refuse from their sources of generation through storage, collection, transportation, recovery and treatment processes to disposal This research developed a web based GIS waste disposal management system, with aim of achieving an effective waste management system and a spatial view of waste collection locations in any local government area in Nigeria. The system was developed using Extensive Hypertext Markup Language and Cascading Style Sheet (XHTML/CSS), and Asynchronous Java Scripting with XML (AJAX) and the software packages used for the development of the application are Adobe Dreamweaver and Adobe Fireworks, MySQL, Apache Server and PHP scripting. With this waste management system, the locations of all the waste collection tanks in any location will be, monitored, managed and maintained. The use of this system will ease the job of the waste management unit of the local government areas in Nigeria in achieving a clean environment and mitigate the spread of epidemic in a way to ensure safety of all and sundry.