Computer Science: Recent submissions

  • AN ONLINE HOSPITAL MANAGEMENT SYSTEM 
    WEKE, SAMUEL OLUSEGUN (Mountain Top University, 2019)
    This project is based on the Design and Implementation of an Online Hospital Management System for use at the Mountain Top University Health Center. It evolved from the manual file keeping system used to store patients ...
  • DEVELOPMENT OF A PREDICTIVE MODEL FOR THE RISK OF TYPHOID USING DATA MINING TECHNIQUES 
    JACOB, OLAMIDE ABOLAJI (Mountain Top University, 2019)
    Typhoid fever, also called enteric fever, is caused by Salmonella enterica serovarTyphi, a gram-negative bacterium. Estimates for 2000 suggest that around 21.5 million infections and 200 thousand fatalities due to typhoid ...
  • ONLINE HOSTEL ALLOCATION AND MANAGEMENT SYSTEM (A CASE STUDY OF MOUNTAIN TOP UNIVERSITY) 
    JOHN, EMMANUEL JOSHUA (Mountain Top University, 2019)
    Hostel allocation has always been an essential part in the process of hostel management. Over the years, it has been noticed that the drastic intake of students into higher institute of learning has in many ways contributed ...
  • ONLINE STUDENT EXEAT SYSTEM (OSES) 
    AYOKHAI, JOSHUA OKHAI (Mountain Top University, 2019)
    This project is an online exeat system developed for the Mountain Top University. The basic problems facing exeat application and processing is that there is no system or database that keep the record of the exeat taken ...
  • A KNOWLEDGE BASED FRAMEWORK TO PREDICT CORONARY HEART DISEASE 
    OLUFEKO, OLUWATOBILOBA WISDOM (Mountain Top University, 2019)
    Coronary heart disease (CHD) is a disease common to both men and women and also use of genetics have been rarely used to predict it. Coronary heart disease alludes to a narrowing of the coronary veins, the veins that ...
  • E-LEARNING WEB PORTAL 
    EMMANUEL GODWIN, OJONUGWA (Mountain Top University, 2019)
    Electronic learning or E-learning is a general term used to refer computer-enhanced learning . It is used interchangeably in so many contexts that it is critical to be clear what on means when one speaks of ‘eLearning’. ...
  • E-COMMERCE WEB APPLICATION 
    LAWAL, ADESOLA ABIMBOLA (Mountain Top University, 2019)
    E-commerce has been one of the most prevalent concept in this digital era. Although e-commerce was once looked upon simply as an expressway to wealth, it has actually transformed the way people conduct businesses. Hence, ...
  • ONLINE FOOD ORDERING SYSTEM 
    OGELEKA, CHINEDU NIICHOLAS (Mountain Top University, 2019)
    The online food ordering system offers clients comfort. It overcomes the traditional queuing system's disadvantages. This scheme improves food intake compared to tourists. This system therefore increases the speed and ...
  • Support Vector Machine–Based Prediction System for a Football Match Result 
    Igiri, Chinwe Peace (IOSR Journal of Computer Engineering, 2015-05)
    Different techniques have been used to develop result prediction systems. In particular, football match result prediction systems have been developed with techniques such as artificial neural networks, naïve Bayesian ...
  • An improved chaotic-based African buffalo optimisation algorithm 
    Igiri, Chinwe Peace; Singh, Yudhveer; Poonia, Ramesh Chandra (International Journal of Innovative Computing and Applications, 2019)
    Optimisation remains inevitable in any organisation as the need to maximise the limited resources persists. It justifies the seemingly endless research in this area. This study explores the effectiveness of chaos to ...
  • An improved African buffalo optimization algorithm using cha-otic map and chaotic-levy flight 
    Singh, Yudhveer (International Journal of Engineering & Technology, 2019-01)
    Optimization is ever-growing research that cuts across all walks of life. Many popular metaheuristic algorithms have metamorphosed into numerous variants in search of the sophisticated kernel for the optimal solutions. The ...
  • Identification of suitable websites for digital marketing – an approach using bio-inspired computing 
    Kumar, B Suresh; Kar, Arpan Kumar; Igiri, Chinwe (International Journal of Engineering & Technology, 2017-12)
    Due to the immense growth of Internet usage, the point of convergence has moved from physical to the web. The size of the web is increasing at a very fast pace to cater to the fast-evolving needs of businesses, governments, ...
  • Effect of Learning Rate on Artificial Neural Network in Machine Learning 
    Igiri, Chinwe Peace; Anyama, Oscar Uzoma; Silas, Abasiama Ita (International Journal of Engineering Research & Technology (IJERT), 2015-02)
    Machine learning has a wide range of applications in almost every life endeavor. Artificial neural network technique, in particular, has been used to implement prediction and forecasting of results in virtually all works ...
  • An Application of Linear Regression & Artificial Neural Network Model in the NFL Result Prediction 
    Anyama, Oscar Uzoma; Igiri, Chinwe Peace (International Journal of Engineering Research & Technology (IJERT), 2015-01)
    Football results prediction has gained popularity in recent years. Nonhybrid approaches have shown complex and low prediction results. Data mining tools with insufficient features, however, have also yielded low predictions. ...
  • An Analytical Review of Data Mining Tools 
    Igiri, Chinwe Peace (International Journal of Engineering Research & Technology, 2015-04)
    Data mining plays a vital role in contemporary society and the corporate world as a whole. This paper reviews a number of different data mining tools including Environment for Knowledge Analysis (WEKA), Konstanz Information ...
  • An Improved Prediction System for Football a Match Result 
    Igiri, Chinwe Peace; Nwachukwu, Enoch Okechukwu (Journal of Engineering, 2014-12)
    Predictive systems have been employed to predict events and results in virtually all walks of life. Football results prediction in particular has gained popularity in recent years. Statistical approaches have shown complex ...
  • A Comparative Analysis of K-NN and ANN Techniques in Machine Learning 
    Igiri, Chinwe Peace; Anyama, Oscar Uzoma; Silas, Abbasiama Ita; Sam, Iibi (International Journal of Engineering Research & Technology, 2015-03)
    Different machine learning algorithms have been applied in various domains and have yielded good results. The application of a preferred technique to a named field is determined by the type of datasets and target goal in ...
  • An Enhanced Secured IOT Model for Enterprise Architecture 
    Ebo, Ife Olalekan; Falana, Olorunjube; Alaba, Olumuyiwa; Taiwo, Olutosin (International Conference in Mathematics, Computer Engineering and Computer Science, 2021-04-13)
    Enterprise architecture (EA) is a comprehensive way of helping an organization to achieve its desire objectives. Recent research shows the requirement of EA in small and medium-sized enterprises (SMEs). There is ...
  • Detection of Cross-Site Scripting Attacks using Dynamic Analysis and Fuzzy Inference System 
    Falana, Olorunjube; Oloruntoba-Tinubu, Oreoluwa Carolyn; Ebo, Ife Olalekan; Alaba, Adejimi (International Conference in Mathematics, Computer Engineering and Computer Science, 2021-04-13)
    Many prevalent problems of web applications are induced by injected codes, which pose great security threats. Vulnerabilities found in web applications are commonly typically exploited to perpetrate attacks. With cross-site ...
  • Se-LMS: Secured learning management systems for smart school 
    Falana, Olorunjube James; Ebo, Ife Olalekan; Odom, Ifeanyi Shadrach (International Journal of Software Engineering and Computer Systems, 2021-03-03)
    One of the research topics that focus on Information Communication Technology in Education is Learning Management System (LMS). LMS is a web-based software application developed to create, manage, and delivered e-learning ...

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