This study compared two neural network models (Multilayer Perceptron and Generalized Regression Neural Network) with a view to identifying the best model for predicting students' academic performance based on single performance factor. Only academic factor (students' results) was considered as the single performance factor of the study. One cohort of graduated students' academic data was collected from the

Customer service is an important area in the success of a system or a service. For services that have a relatively large customer base, the efficiency with which complaints are attended to becomes an issue. The Computer Centre of the Obafemi Awolowo University attends to students with various complaints majorly in relation to their e-portal accounts. Although efforts are in place to manage the crowd, there is still a major need for the complaint management service to save time and energy. The need for a system that can handle the enormous request and complaints of the undergraduate students of the institution is the thesis of this work. Design and implementation was done using the range of tools provided by the Microsoft Bot Framework. C# Programming language was used to implement the decision algorithm. Online web services were used to handle natural language understanding and the Bot Connector to implement the Web Canvas. Microsoft Azure Service was used to host the web after which evaluations were drawn through surveys. Thus, this study projected an easier flow of operations involving logging of complaints by students.

E-wastes generation and management is still a major challenge for most developing countries. This paper discusses the development of a computational model for effective generation, accumulation and disposal of e-waste. This is with a view to providing information for managing the pattern of the e-waste growth and the recycling processes. Coloured Petri net (CPN) was used to model three selected e-waste recycling process. These models were simulated and analysed using the CPN Tools. The results of the simulation of the selected ewaste process models showed that the e-waste dynamics is a forward sequential and concurrent process. The model never can reach a state, which it is impossible to terminate with the correct result.Keywords: E-waste, Computational model, Recycling process, Simulation, State spaceVol. 26 No 1, June 2019

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