Papers by Ibrahim Adenekan
World journal of engineering, Jun 18, 2024
Mathematics
In this research paper, we present a new inertial method with a self-adaptive technique for solvi... more In this research paper, we present a new inertial method with a self-adaptive technique for solving the split variational inclusion and fixed point problems in real Hilbert spaces. The algorithm is designed to choose the optimal choice of the inertial term at every iteration, and the stepsize is defined self-adaptively without a prior estimate of the Lipschitz constant. A convergence theorem is demonstrated to be strong even under lenient conditions and to showcase the suggested method’s efficiency and precision. Some numerical tests are given. Moreover, the significance of the proposed method is demonstrated through its application to an image reconstruction issue.
Purpose The study attempts to develop a methodology for modelling the operating and maintenance c... more Purpose The study attempts to develop a methodology for modelling the operating and maintenance costs of an existing sustainable facility using Markov chain and to determine the most appropriate probability distribution that conform with these costs. Design/methodology/approach The paper adopts the probabilistic Markov chain model to show the trend of building costs fluctuations. It also obtains the pattern of fluctuations of operating and maintenance costs to determine whether these costs follow a Markov chain model. Findings The key findings of the statistical analysis indicated there is an existence of a Markov chain in the observed building costs from January 2011 to January 2020. It also revealed that the building costs series can best be modelled using the Weibull distribution. Research limitations/implications This paper does not cover more than one existing case study as access to historical costs is a major concern. Practical implications This research will be of interest t...
Iconic Research and Engineering Journals, 2020
Purpose The study attempts to develop a methodology for modelling the operating and maintenance c... more Purpose The study attempts to develop a methodology for modelling the operating and maintenance costs of an existing sustainable facility using Markov chain and to determine the most appropriate probability distribution that conform with these costs. Design/methodology/approach The paper adopts the probabilistic Markov chain model to show the trend of building costs fluctuations. It also obtains the pattern of fluctuations of operating and maintenance costs to determine whether these costs follow a Markov chain model. Findings The key findings of the statistical analysis indicated there is an existence of a Markov chain in the observed building costs from January 2011 to January 2020. It also revealed that the building costs series can best be modelled using the Weibull distribution. Research limitations/implications This paper does not cover more than one existing case study as access to historical costs is a major concern. Practical implications This research will be of interest to industry practitioners and academic researchers with an interest in building modelling. The study can be used to improve the confidence in life cycle costing (LCC) modelling. Originality/value This paper contributes with new outlooks aimed at stochastic modelling of sustainable facilities.
Purpose The study attempts to develop a methodology for modelling the operating and maintenance c... more Purpose The study attempts to develop a methodology for modelling the operating and maintenance costs of an existing sustainable facility using Markov chain and to determine the most appropriate probability distribution that conform with these costs. Design/methodology/approach The paper adopts the probabilistic Markov chain model to show the trend of building costs fluctuations. It also obtains the pattern of fluctuations of operating and maintenance costs to determine whether these costs follow a Markov chain model. Findings The key findings of the statistical analysis indicated there is an existence of a Markov chain in the observed building costs from January 2011 to January 2020. It also revealed that the building costs series can best be modelled using the Weibull distribution. Research limitations/implications This paper does not cover more than one existing case study as access to historical costs is a major concern. Practical implications This research will be of interest to industry practitioners and academic researchers with an interest in building modelling. The study can be used to improve the confidence in life cycle costing (LCC) modelling. Originality/value This paper contributes with new outlooks aimed at stochastic modelling of sustainable facilities.
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Papers by Ibrahim Adenekan