PREDICTING STUDENTS ACADEMIC PERFORMANCE USING ARTIFICIAL NEURAL NETWORK CHAPTER ONE INTRODUCTION 1.1   BACKGROUND TO THE STUDY Predicting student academic performance has long been an important research topic. Among the issues of education system, questions concerning admissions into academic institutions (secondary and tertiary level) remain... Continue Reading

CHAPTER ONE INTRODUCTION 1.1       BACKGROUND TO THE STUDY Most institutions of higher learning today are concerned with predicting the paths of undergraduate students. By analysing student performances as they move from one level to the... Continue Reading

ABSTRACT The oral route is generally preferred for drug administration because of its ease and good patient compliance. In the search for new drugs for oral administration a major problem encountered is obtaining drug structures which, as well as being potent in viiro, possess favourable pharmacokinetic profiles which enable them to pass easily... Continue Reading

Credit card fraud has been a common theft process around the globe recently. This project looks into solving and minimizing the risk of credit card fraud using AI (Artificial Intelligence) models. ... Continue Reading

Credit card fraud has been a common theft process around the globe recently. This project looks into solving and minimizing the risk of credit card fraud using AI (Artificial Intelligence) models.... Continue Reading

ABSTRACT The development in science and technology has vital contribution towards improving the country's economy. One of the sectors that contribute to the country's economy is agriculture which needs the improvement of science and technology from time to time such as in its fertigation system. The manual applications of fertilizer that are... Continue Reading

Abstract This work investigates an improved protection solution based on the use of artificial neural network on the 330kV Nigerian Network modelled using Matlab R2014a. Measured fault voltages and currents signals decomposed using the discrete Fourier transform implemented via fast Fourier transform are fed as inputs to the neural network. The... Continue Reading

ABSTRACT The human eye is a vital organ of vision, which gives us the sense of sight, and is of utmost importance in all day to day activities. However, there are many diseases that affect the human eye and can lead to blindness. The major causes of blindness include glaucoma, diabetic retinopathy and other corneal and retinal infections. However,... Continue Reading

Abstract Artificial Neural Networks (ANNs) is a branch of Machine Learning that has seen recent widespread adoption for solving computational problems that seem impractical to solve with traditional algorithmic approaches. ANNs have achieved high accuracy on tasks such as facial recognition, object detection and speech recognition. And recently,... Continue Reading

NEURAL NETWORK FOR UNICODE OPTICAL CHARACTER RECOGNITION  (CASE STUDY OF DHL, ENUGU) ABSTRACT Optical character Recognition (OCR) refers to the process of converting printed tamil text documents into software translated Unicode tamil text. The printed documents available in the form of books, projects, magazines etc are scanned using standard... Continue Reading

ABSTRACT Neural Network Based Character Pattern Identification System has been one of the active and challenging research areas in the field of data computing, image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text... Continue Reading

ABSTRACT Neural Network Based Character Pattern Identification System has been one of the active and challenging research areas in the field of data computing, image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text... Continue Reading

  CHAPTER ONE INTRODUCTION 1.0       BACKGROUND TO THE STUDY The increasing demand for education in Nigeria especially tertiary education has been an issue in recent times. Government–owned tertiary institutions as well as those privately owned do not possess the capacity and manpower... Continue Reading

A huge number of studies have been done supporting seamless mobility networks and mobile technologies over the years.  The recent innovations in mobile technologies have unveiled another revolution from the static architectural approach for client-server network relationships to more dynamic, and even mobile approaches. Due to the special... Continue Reading

THE IMPACT OF STAFF WELFARE ON STAFF PERFORMANCE AND ORGANIZATIONAL PRODUCTIVITY   (A CASE STUDY OF FIRST BANK NIGERIA PLC) CHAPTER ONE INTRODUCTION 1.1 BACKGROUND OF THE STUDY Welfare is a corporate attitude or commitment reflected in the expressed care for employees at all levels, underpinning their work and the environment in which it is... Continue Reading

RATIO ANALYSIS AS A STRATEGY FOR PREDICTING FAILURES IN NIGERIAN BANKS (A CASE STUDY OF FIRST BANK PLC AND DIAMOND BANK PLC ABAKALIKI) ABSTRACT This project focuses on ratio analysis as a strategy for predicting failures in Nigeria banks. The project work was set out to highlight and analyze the importance of ratio analysis as a strategy for... Continue Reading

EVALUATION OF FRESH AQUATIC PLANT ( Azollapinnata ) AND ARTIFICIAL DIET ON GROWTH PERFORMANCE, GASTRIC EVACUATION RATE AND CARCASS COMPOSITION OF NILE TILAPIA ( Oreochromisniloticus ) ABSTRACT Alternative plant protein sources are generally cheaper compared to animal protein sources and may be the solution to reduce the high dependence of farmers... Continue Reading

ABSTRACT The load balancing is the most important issues to reduce congestion in Autonomous computer networks. The inter-domain traffic control methods have been addressed by researchers. In this paper, we are proposed HTS; a BGP-based hierarchical network traffic reconfiguration method to redistribute traffic on overloaded link for IP-based... Continue Reading

ABSTRACT The load balancing is the most important issues to reduce congestion in Autonomous computer networks. The inter-domain traffic control methods have been addressed by researchers. In this paper, we are proposed HTS; a BGP-based hierarchical network traffic reconfiguration method to redistribute traffic on overloaded link for IP-based... Continue Reading

CHAPTER ONE 1.0                                     INTRODUCTION 1.1              BACKGROUND OF THE STUDY The world is fast becoming a global village and a necessary tool for this process is communication of which telecommunication is a key player. The quantum development in the telecommunications... Continue Reading