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  • Monte-Carlo Study of Some Robust Estimators: The Simple Linear Regression Case.

    Adewole, Ayoade I.; Bodunwa, Oluwatoyin K; Oseni, Kazeem Oluwakemi; Tai Solarin University of Education; Federal University of Technology Akure; Richmond American International University (University of Wah, 2024-12-30)
    In this study, Least Trimmed Squares (LTS), Theil’s Pair-wise Median (Theil) and Bayesian estimation methods (BAYES) are compared relative to the OLSE via Monte-Carlo Simulation. Variance, Bias, Mean Square Error (MSE) and Relative Mean Square Error (RMSE) were calculated to evaluate the estimators’ performance. The Simple Linear Regression model is explored for the conditions in which the error term is assumed to be drawn from three error distributions: unit normal, lognormal and Cauchy. Theil’s non-parametric estimation procedure was found to have the strongest and most reliable performance. The subsequent-best results are acquired from LTS approach Though it was observed that the Bayesian estimators are affected by deviation of the dataset from normality, yet it is established from the results that the Bayesian estimators performed optimally more than all other competitors, even under non normal situations (especially under the standard lognormal distribution) in some cases, except whenever the error is drawn from a heavy tail distribution (Lognormal and Cauchy)..OLSE is most effective reliable as long as the normality assumptions preserve
  • Applying software engineering solutions to law firm management, Nigeria as a case study

    Eleweke, Chinonyerem; Oseni, Kazeem Oluwakemi; ; University of Bedfordshire (AIRCC Publishing Corporation, 2025-04-01)
    Legal technology has changed the way law firms are managed worldwide. Substantial research has been undertaken on the role of legal technology in law firm management especially in developed countries. Though, most studies have only focused on the benefits and challenges, and have failed to analyse law firm management areas requiring software solutions. The principal objective of this paper was to investigate the level of technology adoption among Nigerian law firms, as well as to develop a software solution to automate work processes in identified areas. This investigation was done using systematic literature review to gather relevant data on the subject area and identify knowledge gaps. Findings from the research indicated a need for further analysis of the various areas in law practice that could require software solutions. The findings also discussed the implementation of a property management module which is an important contribution to the management of law firms in Nigeria. A speech-to-text transcription feature was also implemented to eliminate the need for lengthy typing
  • A Conditional GAN and Dual-Channel Hybrid Deep Feature Framework for Robust Sensor Fault Detection in WSNs

    Khan, Rehan; Saeed, Umer; Koo, Insoo; University of Bedfordshire; University of Ulsan (IEEE, 2025-02-18)
    Sensor-generated data is vital to the operation of numerous systems and services in the rapidly growing field of the Internet of Things. Wireless Sensor Networks, as an essential setup for these systems, are frequently deployed in large, diverse, and often harsh environments. However, these networks are highly vulnerable to various faults, potentially leading to improper data transmission, reliability, and financial stability of the systems. To address these challenges, we propose a hybrid model for sensor fault detection that integrates a machine learning classifier with the deep learning (DL) model, specifically VGG-16 and ResNet-50. Synthetic samples are generated using a Conditional Generative Adversarial Network and common sensor faults, such as hardover, drift, spike, erratic, and stuck fault are introduced by leveraging a publicly available temperature sensor dataset. Time-series data is transformed into Gramian Angular Field images, from which deep features are extracted using VGG-16 and ResNet-50. These extracted features are then fused to form a hybrid feature pool. Our framework effectively addresses problems related to data imbalance and enhances accuracy. The proposed model outperforms the individual feature sets, VGG-16 (89.22%) and ResNet-50 (84.21%), achieving notable accuracy of 92.55% with the fused feature set, underscoring its potential for robust sensor fault detection.
  • Roles of E-Service in Economic Development, Case Study of Nigeria, A Lower-Middle Income Country

    Oseni, Kazeem Oluwakemi; Dingley, Kate; University of Portsmouth (AIRCC Publishing Corporation, 2015-05-11)
    E-Government activities are still very low in Nigeria, a lower middle-income country, and this is hindering E-Service adoption. E-Service is inextricably linked to E-Government and they will not develop separately, but as one progresses the other moves forward. Having a new technology like E-service opens new opportunities for government, private and public sectors. Despite the fact that the new technology will not be without a hindrance, the overall benefits of using outweigh its lapses. Nigeria has overtaken South Africa as top Africa economy. There is still more to be done in increasing the revenue of the country, reducing the huge external debt owing the World Bank. Furthermore, there is a need to sustain the new status as top economy in Africa. There are many unresolved problems like corruption. This leads to a slow movement of files in offices, embezzlement, election irregularities, and port congestions among others. Adoption of E-Service will help to reduce these problems and increase the revenue base of the country. This study will identify e-Service roles in economic development in Nigeria, a lower middle-income country. The study is based on literature review methodology and recent online survey that shows the level of E-Service awareness and roles. We shall also examine previous conference papers related to this study and necessary recommendations will be suggested and offered to the authority in Nigeria on how best the e-service adoption will add more success to the economic development.
  • E-Service Security: Taking Proactive Measures to Guide against Theft, Case Study of Developing Countries

    Oseni, Kazeem Oluwakemi; Dingley, Kate; Hart, Penny; University of Portsmouth (Infonomics Society, 2015-09-14)
    The rapid diffusion of internet couple with the digitalization of most economies in the world today which have given rise to e-Government services adoption to promote good governance capability and accountability of public organisations. There are still concerns about e-Service security in developing countries as consumers and online users have become the victims of co-ordinated cybercrimes despite the fact that e-Government services are helping to boost government revenue through very fast transactions, reduce corruption through the use of modern technology and transparent operations. It is imperative to state that the security issues in the E-Service domain have been gaining more attention over past two decades. This paper discusses the general overview through the use of on-going online survey and literature review of related works in e-Service security as existing approach to combat the issues still has many setbacks. The findings show a deep understanding of what proactive measures need to be taken against e-Service theft in developing countries. A model also emerged that capture the e-Service technology security issues in developing countries and the proactive measures to reduce and eradicate these threats.

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