College of Basic and Applied Sciences: Recent submissions

  • 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, ...
  • GAS CHROMATOGRAPHY- MASS SPECTROMETRY ANALYSIS AND EFFECT OF METHANOL LEAF EXTRACT OF VERNONIA AMYGDALINA ON PLASMA ENZYMES IN STREPTOZOTOCININDUCED DIABETIC RATS 
    EDAMISAN, OYINDAMOLA MARY (Mountain Top University, 2019)
    Vernonia amygdalina (VAM) has been used traditionally in the management of diabetes. This study was designed to identify the phytochemical components present in the methanol leaf extract of V. amygdalina and to investigate ...
  • 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 ...
  • CLASS ATTENDANCE SYSTEM USING RADIO FREQUENCY IDENTIFICATION (RFID) 
    AFOLABI, OMOLADE TOLULOPE (Mountain Top University, 2019)
    The present world relies on different attendance management methods and activities, ranging from biometric devices. This category is covered by human resource management system. Advanced technology will be used on the ...
  • EVALUATION OF ANTIOXIDANT ACTIVITY OF CARICA PAPAYA LEAVES 
    AJAYI, DAVID OLUWATOYE (Mountain Top University, 2019)
    Oxidative stress is the underlying causative mechanisms for various diseases. It is an imbalance in the body between free radicals‟ generation and antioxidants. Oxygen-derived free radicals, which instigates damage to ...
  • Solution of integral equations via new Z-contraction mapping in Gb-metric spaces 
    Mebawondu, A. A; Izuchukwu, C; Oyewole, K. O; Mewomo, O. T (Proyecciones (Antofagasta), 2020)
    We introduce a new type of (α, β)-admissibility and (α, β)-Z-contraction mappings in the frame work of G b -metric spaces. Using these concepts, fixed point results for (α, β)-Z-contraction mappings in the frame work of ...
  • MONOTONE SUZUKI-MEAN NONEXPANSIVE MAPPINGS WITH APPLICATIONS 
    Mebawondu, A. A; Abass, H. A; Oyewole, K. O; Aremu, K. O; Narain, O. K (Acta Universitatis Apulensis, 2020)
    In this paper, we introduce a new class of monotone generalized nonexpansive mappings and we establish some weak and strong convergence theorem for a newly proposed iterative process in the frame work of an ordered ...
  • Approximating Common Fixed Points of Mean Non-expansive Mappings in Hyperbolic Spaces 
    Ezeora, J. N; Izuchukwu, C; Mebawondu, A. A; Mewomo, O. T (Int. J. Nonlinear Anal. Appl, 2021)
    In this paper, we prove some fixed points properties and demiclosedness principle for mean nonexpansive mapping in uniformly convex hyperbolic spaces. We further propose an iterative scheme for approximating a common fixed ...
  • 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 ...
  • Effect of Roasting on the Phytochemical Properties of Three Varieties of Marble Vine (Dioclea reflexa) Using Response Surface Methodology 
    Ajatta, Mary A; Akinola, Stephen A; Otolowo, Dupe T; Awolu, Olugbenga O; Omoba, Olufumilayo S; Osundahunsi, Oluwatooyin F (Preventive nutrition and food science, 2019-12-31)
    This study assessed the optimum roasting conditions on the phytochemical properties of three varieties of Dioclea reflexa seeds using response surface methodology. Roasting conditions were varied using temperature ...

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