Computer Science -Scholarly Publications

 

Recent Submissions

  • Model for Predicting the Risk of Kidney Stone using Data Mining Techniques 

    Oladeji, F.A.; Idowu, P.A.; Egejuru, N.; Faluyi, S.G.; Balogun, J.A. (International Journal of Computer Applications, 2019-01)
    This paper focused on the development of a predictive model for the classification of the risk of kidney stones in Nigerian using data mining techniques based on historical information elicited about the risk of kidney ...
  • Effect of Hybrid Data Compression Technique on the Diagnostic Accuracy of Region of Interest (ROI) on MRI Image of a Spine Disc Prolapse 

    Oyeleke, Richard O.; Adewole, Adetunji P.; Oladeji, Florence A. (International Journal of Applied Information Systems, 2014-07)
    The cost of transmitting and archiving medical images are quite prohibitive due to their large sizes especially in digital radiology system such as: picture archiving and communication systems and teleradiology. In order ...
  • DEEP LEARNING MODEL FOR PREDICTING MULTISTAGE CYBERATTACKS 

    Ibor, Ayei E.; Oladeji, Florence A.; Okunoye, Olusoji B.; Uwadia, Charles O. (THE JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS, 2019-06)
    The prediction of cyberattacks has been a major concern in cybersecurity. This is due to the huge financial and resource losses incurred by organisations after a cyberattack. The emergence of new applications and disruptive ...
  • A 3-D MODEL OF AN INSTITUTIONAL LOCATION NAVIGATION SYSTEM (NAVILOC) (A CASE STUDY OF COVENANT UNIVERSITY) 

    Adebiyi, Marion; Oladeji, Florence; Onyido, Solomon; Ori, Daniel; Ogundokun, Roseline; Adeniyi, Emmanuel; Okesola, Olatunji (International Journal of Civil Engineering and Technology, 2019-01)
    Covenant University location navigation system (CU Naviloc) built on the Android platform is a mobile based system which can be easily accessed from an android mobile device across any location, downloadable on Google play ...
  • The Significance of Traffic Admission Control and Scheduling Mechanism in a QoS Internet Router 

    Oladeji, F.A.; Uwadia, C. O.; Oyetunji, M.O.; Adeyemi, M. (International Journal of Wireless and Mobile Computing, 2010)
    Internet real-time users are often confronted with network congestive messages such at "network busy, try later' due to the limitations and constraints of its TCP/IP traffic management protocols to support real-time ...
  • A Revised Logic for Weighted Round Robin Scheduler towards Improving Network Throughput in a QoS Internet 

    Oladeji, F.A.; Uwadia, C. O.; Kourie, D.G.; Strauss, D.M. (Journal of Computer Science and its Applications, 2007-06)
    Attempts to support service differentiation and QoS on the internet have brought about various traffic management models. One such class of models deals with traffic scheduling at the Internet routers. A network scheduler ...
  • A Survey of Software Reengineering Approaches 

    Okunoye, O. B.; Uwadia, C. O.; Oladeji, F.A. (Journal of Computer Science and its Applications, 2004)
    For any developed software system not to become progressively less useful in real-world environment, such software is expected to be efficient, reliable and amendable to support new platforms, embrace emerging standards, ...
  • A Digital Forensics Investigation Model for Confidentiality, Integrity and Authenticity 

    Koleoso, Rukayat Akanke (University of Lagos, 2018-07)
    Digital Forensics Investigation Models (DFIMs) are developed to assist investigators in handling Digital Evidence (DE) related to computers and other digital media. Researchers have developed various DFIMs over the years ...
  • Computer Forensic Guideline: A Requirement for fighting cyber Crime in Nigeria now? 

    Ajetunmobi, R.A.; Uwadia, C.O.; Oladeji, F.A. (University of Lagos, 2016-11)
    Computer Forensics in digital evidence collection regarding Cybercrime in the last few years by IT savvy countries has played very important role in case prosecution. However, that is not the case in Nigeria, a country ...
  • Reducing the Observable States Space of Hidden Markov Model for Distributed Denial of Service Attack Prediction using Kullback-liebler Divergence. 

    Afolorunso, A.A.; Adewole, A.P.; Abass, O.; Longe, H. O. D. (UNILAG Journal of Medicine, Science and Technology, 2017)
    Distributed Denial of Service (DDoS) attack floods the network with loads of unwanted packets and requests that weigh down the system resources such as memory and processors. Hidden Markov model (HMM) is one of the models ...
  • HIERARCHICAL CLASSIFICATION OF MORPHOLOGICAL FEATURES OF TILAPIA CABREA 

    Agwuegbo, S.O.N.; Adewole, A.P.; Isenah, M.G. (Journal of Natural Sciences, Engineering and Technology, 2012-11)
    This article proposes an effective data visualization of multidimensional data. These displays are useful to represent the existence or absence of relationships among objects corresponding to hierarchical classifications, ...
  • FORECASTING DISTRIBUTED DENIAL OF SERVICE ATTACK USING HIDDEN MARKOV MODEL 

    Afolorunso, A.A.; Abass, O.; Longe, H. O. D.; Adewole, A.P. (LAUTECH Journal of Engineering and Technology, 2016)
    consumes the system resources in terms of time, memory, and processors. This paper presents a proposed method for forecasting DDoS in networks. The proposed model employs hidden Markov model (HMM) to forecast DDoS attacks. ...
  • COMPARISON OF NEURAL NETWORK AND MULTIVARIATE DISCRIMINANT ANALYSIS IN SELECTING NEW COWPEA VARIETY 

    Adewole, Adetunji Philip; Sofoluwe, A. B.; Agwuegbo, Samuel Obi-Nnamdi (International Journal of Computer Science and Information Security (IJCSIS), 2010-07)
    In this study, neural networks (NN) algorithm and multivariate discriminant (MDA) based model were developed to classify ten (10) varieties of cowpea which were widely planted in Kano. . In order to demonstrate the validity ...
  • EMPIRICAL PRIOR LATENT DIRICHLET ALLOCATION MODEL 

    Adegoke, M.A.; Ayeni, J. O. A.; Adewole, P.A. (Nigerian Journal of Technology (NIJOTECH), Faculty of Engineering, University of Nigeria, Nsukka, 2019-01)
    In this study, empirical prior Dirichlet allocation (epLDA) model that uses latent semantic indexing framework to derive the priors required for topics computation from data is presented. The parameters of the priors so ...
  • SIMULATED ANNEALING FOR SOLVING THE TRAVELLING SALESMAN PROBLEM 

    ADEWOLE, A.P.; AGWUEGBO, S.O.N.; OTUBAMOWO, K. (Journal of Natural Sciences, Engineering and Technology, 2011)
    In this paper we considered the use of Simulated Annealing for solving the Travelling Salesman Problem (TSP) which is NP-Complete. The algorithm searches solutions for the global minimum by perturbing existing solutions ...
  • Neural Network Model for Performance Evaluation of Academic Staff of Tertiary Institutions 

    Okoye-Ubaka, M.N.; Adewole, A.P.; Folorunso, O.; Ezike, J.O.J. (International Journal of Applied Information Systems (IJAIS), 2013-01)
    This paper presents a neural network model for accomplishing the task of performance evaluation of academic staff of tertiary institutions. Data was collected from 10 randomly selected institutions using the completed ...
  • A model-based collaborative filtering with dimensionality reduction 

    Adewole, A.P.; Kawedo, C.V. (The journal of computer science and its applications, 2017-12)
    In this day and age, the measure of data accessible online multiplies exponentially. With such development rate, it is getting to be distinctly troublesome for clients to approach things of interest subsequently bringing ...
  • Artificial neural network-based learning analytics technique for employability and self-sustenance 

    Adewole, P.; Okewu, E. (The journal of computer science and its applications, 2018-12)
    The growing global rate of unemployment buttresses the quest for functional and all-inclusive education as canvassed by the Sustainable Development Goal 4 (SDG 4). Employability of graduates and entrepreneurial skills for ...
  • A Comparative Study of Simulated Annealing and Genetic Algorithm for Solving the Travelling Salesman Problem 

    Otubamowo, K.; Egunjobi, T.O.; Adewole, A.P. (International Journal of Applied Information Systems (IJAIS), 2012-10)
    Metaheuristic algorithms have proved to be good solvers for the traveling salesman problem (TSP). All metaheuristics usually encounter problems on which they perform poorly so the programmer must gain experience on which ...
  • A Receipt-free Multi-Authority E-Voting System 

    Adewole, P.; Ojo, B.O. (British Journal of Education (European Centre For Research Training And Development UK), 2017-02)
    Selection of test items is a vital step in test development procedure. Test items could be selected either through the item card or Item Characteristic Curve (ICC). In recent times ICC, has become a vital tool in the ...

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