Research Papers/Topics in Computer Science

Evaluation of an Algorithm of Software Defects of Understandability Using a New Metric of Software

Abstract:  Prudence is one of the important features of software quality, as it can affect the stability of software. The cost and reuse of software is also likely to make sense. To maintain software, programmers have to understand the source code. The understanding of source code depends on the psychological complexity of the software, and cognitive abilities are required to understand the source code. The understanding of source code is influenced by so many factors, here we have taken var...

A Task Performance and Fitness Predictive Model Based on Neuro-Fuzzy Modeling

Recruiters’ decisions in the selection of candidates for specific job roles are not only dependent on physical attributes and academic qualifications but also on the fitness of candidates for the specified tasks. In this paper, we propose and develop a simple neuro-fuzzy-based task performance and fitness model for the selection of candidates. This is accomplished by obtaining from Kaggle (an online database) samples of task performance-related data of employees in various firms. Data were ...

Database Design and Management Systems (Course Code: CSC 222)

DBMS (SQL, MySQl) Transaction management, concurrency control, Object Oriented Databases, client/server systems, dataware house, databases in electronic commerce, web database development and database administration. Single table database Relational Database System of related tables Minimum redundancy, Referential integrity, Database keys, The ACID model (guarantee of successful transactions): –Atomicity („all or nothing” rule), Consistency Enforcing referential integrity, Indexing fiel...

Database Management System for Housing (A Case Study of Abdu Gusau Polytechnic Talatamafara)

ABSTRACT Overtime, manual approach of managing house allocation is being employed which has resulted in a lot of problems in Abdu Gusau Polytechnic Talata Mafara zamfara State. These problems to mention few are, allocation of already allocated apartment due to lack of proper record, difficulty in calculating the general statistics, poor data security and integrity among others. These aforementioned problems are talked with this new system by providing accuracy in general statistics, proper ke...

UNMASKING FRAUDSTERS: Ensemble Features Selection to Enhance Random Forest Fraud Detection

Fraud detection is used in various industries, including banking institutes, finance, insurance, government agencies, etc. Recent increases in the number of fraud attempts make fraud detection crucial for safeguarding financial information that is confidential or personal. Many types of fraud problems exist, including card-not-present fraud, fake Marchant, counterfeit checks, stolen credit cards, and others. We proposed an ensemble feature selection technique based on Recursive feature el...

Enhanced Brain Tumor Image Classification Using Convolutional Neural Network with Attention Mechanism

Detecting brain tumors early is crucial for precise diagnosis and the development of effective treatment strategies, given the severity of the condition involving the uncontrolled growth of abnormal cell clusters in the brain.This research introduces an innovative Convolutional Neural Network (CNN) model augmented with an attention mechanism for the classification of brain tumor images, utilizing a comprehensive dataset of 3,000 Magnetic Resonance Imaging (MRI) scans sourced from Kaggle. Rigo...

Predicting the Economic Impact of Post Covid-19 in Sub-Saharan African Countries Using Gradient Boosting

The global economy has faced an unprecedented threat from the COVID-19 outbreak. The current illness is ravaging Africa at an exponential rate, and all of the continent's nations are experiencing the effects of the epidemic. In this study, we used the COVID-19 outbreak as a case study to examine the prediction of the economic impact of the pandemic in Sub-Saharan Africa (SSA). We adopted several models to work on the dataset to compare which one worked best for all 3 target variables and we d...

Impact of Information Communication Technology (ICT) on Staff Training and Development

ABSTRACT ICT (Information and Communication Technology) has greatly changed contemporary education. The ICT solutions offered enrich learning environments and provide staffs with numerous opportunities. However, even though ICT can enhance education quality, there are many staffs that are unwilling to adjust to the changes brought about by ICT. One of the most crucial inhibitory factors that make staffs reluctant to utilize ICT in education is the lack of their training on ICT. Thus, the purp...

SIWES report held at glorious computers

TABLE OF CONTENTS Title                           Page                      Cover Page                   -------1                  Dedication                                          -------2  Acknowledgement-------3  Table of Contents                               -------4  Chapter One:Introduction -------4 Chapter Two:Overview of Emmy Computers----9 Chapter Three:Activities at Emmy Computers----13 Chapter Fo...

Design and Construction of a Computer Power Bank

ABSTRACT This project is a power bank for laptops, and it is designed to serve as a back up to a laptop whenever there is no power supply and it has a variable knob which controls the output voltage to a desired value. The problem is that we carry different chargers for different gadgets. Though the cost of producing is more costly than the normal chargers we have around but it can serve as a reliable backup considering the problem and solution above a power bank for laptop charger is neede...

Blockchain Technology into Online Voting Systems

In an era marked by technological advancements and a growing demand for secure and transparent electoral processes, the integration of blockchain technology into online voting systems has emerged as a promising solution. This research paper presents a comprehensive exploration of the design, implementation, and implications of an online voting system built upon blockchain technology. Through an in-depth analysis of existing electronic voting challenges and the potential of blockchain, this pa...

Exploring the Fusion of Graph Theory and Diverse Machine Learning Models in Evaluating Cybersecurity Risk

The frequency and severity of cyber- attacks have surged, causing detrimental impacts on businesses and their operations. To counter the ever-evolving cyber threats, there's a growing need for robust risk assessment systems capable of ef ectively pinpointing and mitigating potential vulnerabilities. This paper introduces an innovative risk assessment technique rooted in both Machine Learning and graph theory, which of ers a method to evaluate and foresee companies' susceptibility to ...

Cybershield: Harnessing Ensemble Feature Selection Technique for Robust Distributed Denial of Service Attacks Detection

As Modern-day data increases in terms of dimensions (Instances X attributes), Single Feature Selection Techniques (SFST) often have certain biases and fail to provide optimal performance in machine learning models. To overcome the challenges associated with using SFST on large datasets, an Ensemble Feature Selection Technique (EFST) is proposed that includes multi-filter-based feature ranking selection and a wrapper-based feature subset selection methods for feature extraction on the Cana...

Design and Implementation of Weather Forecasting Package for Aviation Industry (A Case Study of Imo Airport (Sam Mbakwe Airport)

ABSTRACT Design and implementation of weather forecasting package for aviation industry is discussed in this research work using Sam Mbakwe Airport, Owerri – Imo State as a case study. With its objectives research work as follows: To help aviation Meteorologists issue accurate weather forecasts. To enable aviation industry to make decisions on control based on information given etc. This research work reviews the background and general idea of weather forecasting which motivated me to go in...

Web Based Census Management System

ABSTRACT Web Based Census Management System includes the sets of methods that allow us to measure the dimensions and dynamics of populations. The aim of the study is to Design and Implement a Web Based Census Management System. In achieving this aim, the following specific objectives were laid out as follows to develop a: computerized software that automatically stores and retrieves all information on human population, reliable system that could be used in collecting data/information on huma...


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