This presentation will explore how modern data science techniques, including machine learning and predictive analytics, can be applied to optimize operations, enhance safety, and support environmental sustainability in the African energy landscape. I plan to share practical case studies and discuss the transformative potential of data-driven decision making in addressing some of the...
The integration of Operations Research (OR) and Wargaming into military decision-making and decision support systems has become increasingly critical in modern defense strategy and operations. Operations Research plays the synergistic role in enhancing strategic, operational, and tactical decisions. Operations Research provides quantitative analysis and optimization techniques to evaluate...
Ergonomic workstation design is critical for improving productivity and occupational health in manufacturing environments. Studies have shown that Assembly Line Workstations (ALW) expose workers to repetitive tasks, prolonged physical exertion, and constrained postures, which increase the risk of musculoskeletal disorders, fatigue, and absenteeism. This study applied 3D modelling and digital...
Plastic waste pollution poses a major threat to the global environment. Interventions from the government and international authorities have helped mitigate the effects of plastic waste. Despite interventions from governments and international bodies like bans on single-use plastics, plastic waste pollution remains a pressing environmental issue. This necessitated the development of a reverse...
This research presents, a hybrid solar clothe-drying system developed using material and system optimization strategies. Drying of clothes within the household using electric clothe-dryer could be expensive and time consuming in some densely built urban area around humid tropics, especially in Nigeria where electric power supply is expensive and not regular. With heat pipe and PCM storage unit...
Abstract: Mathematical modelling of engineering and biological systems plays a vital role in fostering national development and driving technological innovation. By constructing precise computational representations of complex systems, researchers and engineers can predict behaviours, optimize processes, and develop cutting-edge solutions that stimulate economic progress and improve quality of...
Abstract
Traditional numerical methods like the Finite Element Method (FEM) have long been relied upon for solving partial differential equations (PDEs) due to their stability and theoretical foundation. However, these methods face significant challenges when applied to problems involving complex geometries, moving boundaries, or high-dimensional spaces, where mesh generation and...
Aroloye, Soluade Joseph1, Fenuga Olugbenga John2, Abiala Israel Olutunji3
1.2.3Department of Mathematics, Faculty of Science, University of Lagos, Nigeria
Author Email: saroloye@unilag.edu.ng
This research explores the effect of viscous dissipation on free convection magnetohydrodynamic (MHD) flow through a porous medium over an exponentially stretching surface in the presence of a...
This research paper introduces a finite element simulation approach to investigate the characteristics of nuclear blast waves, considering time-varying sources. The simulation methodology is founded on the blast wave equation and employs numerical techniques to solve for the temporal evolutions of pressure distribution. Notably, the model incorporates a time-varying source term denoted as S,...
The heat and mass transfer of nanoparticle suspensions between rotating disks has gained significant research interest due to its wide industrial applications. This study investigates the thermal behaviour of magnetohydrodynamic (MHD) ethylene glycol-based elastico-viscous hybrid nanofluids, incorporating nonlinear radiation and heat source effects. The governing equations, derived from...
The occurrence of sand production during hydrocarbon extraction operations presents significant challenges, as it can lead to equipment damage, pipeline blockages, and reduced well lifespan. Accurate real-time estimation of sand volume is crucial for optimising well operational efficiency and implementing cost-effective sand control strategies. This study employed machine learning models,...
In this study, we develop a mathematical model to understand how typhoid fever spreads within a population. The model is built using a system of five ordinary differential equations (ODEs), and we carefully analyze it to confirm that it behaves reliably and makes sense both mathematically and in real-world epidemiological terms. To find approximate solutions, we apply the Laplace-Adomian...
Abstract:
Improving numerical methods used for pricing options in derivative markets becomes essential, especially where asset returns often exhibit characteristics (such as jumps, heavy tails, and asymmetry) that aren't well-suited to traditional Gaussian models. To account for these features, the research explores jump-diffusion processes governed by an integro-differential equation (IDE),...
Mathematical Modeling has emerged as a powerful tool in epidemiology and public health, enabling researchers and policy makers to predict and analyzes the disease spread , evaluate the intervention strategies and inform policy decision . In the context of African development and advancement, mathematical modeling can play a very significant role in controlling and preventing the spread of the...
Arable food price volatility poses significant challenges to food security, inflation management, and economic stability in Nigeria, demanding robust quantitative forecasting of both price levels and inherent uncertainty. This study employs an econometric framework to model and forecast time-varying volatility in spot prices for two crucial Nigerian arable food commodities: Maize (White) and...
Cervical cancer is a leading cause of death among women particularly in developing countries, and often arises from abnormal cell growth in the cervix. Various risk factors contribute to its development, and statistical models can help predict its occurrence. It remains an important and public health concern, especially in regions where fundamental screening programs and diagnosis efficiency...
Queues are a common feature of daily life, which both service providers and customers strive to avoid. However, eliminating queues may not be possible for service providers, such as Nigerian banks, where the rate of customer arrivals exceeds most Nigerian banks’ capacity to process customers’ requests. Several studies have theorised that increasing the number of servers and increasing service...
Avian Influenza is a deadly zoonotic disease that is common in almost all parts of the world. It remain a significant public health concern due to its zoonotic nature and potential to cause wide spread outbreaks. Several mathematical models by different researchers have addressed avian influenza disease dynamics, but gaps remain in understanding the combined effects of education campaigns,...
Fruit bruising is a challenge in post-harvest handling and transportation especially in Nigeria, affecting both quality and market value. This study presents the development of an image-based bruise detection system using a smartphone camera as the imaging device. Images of tomatoes were captured and analyzed using two computational methods: Otsu’s thresholding algorithm and a Random Forest...
Traditionally, parameters of dynamical systems are estimated by directly comparing model simulations to observed data utilizing a least squares approach. However, if the models are biased, this classical approach may not accurately estimate the true states. Here, a data-driven approach is proposed that enables the model to follow the trajectory of the data. More so, following this approach,...
BRIDGING THEORY AND EPIDEMIOLOGY: A NEXT-GENERATION MATHEMATICAL MODEL FOR MALARIA ELIMINATION STRATEGIES.
F. D. AYEGBUSI 1 And J. A. AKINGBADE 2
1 Department of Mathematics, First Technical University, KM 15, Ibadan-Lagos Expressway, Ibadan, Oyo state, Nigeria. Tel:+23470330502140,
e-mail:
florahdammy@gmail.com. , florenceayegbusi@tech-u.edu.ng. and
2...
This paper presents a convergence analysis of a relaxed projection and contraction algorithm incorporating golden ratio constant momentum for solving monotone inclusion problems in real Hilbert spaces. The proposed method integrates a non-monotonic self-adaptive step size, a relaxation term, and a constant momentum factor derived from the golden ratio. The non-monotonic step size method allows...
This paper proposes a double-inertial mixed extragradient algorithm for solving bilevel split variational inequality problems (BSVIPs) and finding a common solution to a finite family of $k-$demicontractive mappings. The proposed method combines Tseng’s extragradient technique for the upper-level problem with the subgradient extragradient method for the lower-level problem. We establish the...
Persistence of cervical high-risk human papillomavirus (hrHPV) is a necessary cause of cervical cancer (CC) that remains a significant public health concern globally. Although CC is largely preventable, it is still cause of mortality in adult women especially in sub-Saharan Africa. Screening for CC precancer and early invasive cancer is pivotal to a successful elimination strategy in any...
The thermal performance of a ground-coupled Earth-to-Air Heat Exchanger (EAHE) system intended to cool greenhouse air in humid tropical environments is examined in this study. To simulate EAHE operation at two burial depths—1 m and 2 m—a three-dimensional computational model was created using SolidWorks and ANSYS 2023R1. In each configuration, a homogeneous, isotropic soil domain was embedded...
In this review, we provide a comprehensive analysis of pairwise network models in epidemiological modeling, focusing on their ability to capture local interaction dynamics and network heterogeneity. We examine key approximation techniques, including moment closures for homogeneous and heterogeneous degree networks, and discuss their role in deriving epidemic thresholds, basic reproduction...
The genus Ixora L., a member of the diverse Rubiaceae family, encompasses a range of plant forms from shrubs to small or medium-sized trees. Despite its botanical significance and widespread occurrence, there remains a notable paucity of comprehensive morphological research specifically on Ixora species. This research gap has led to widespread misidentification, particularly in regions...
By Curt. A. de Koning
University of Colorado at Boulder,
USA
The coastal regions of Nigeria face increasing threats from climate change, including rising temperatures, erratic rainfall patterns, poor soil chemistry and sea-level rise, all of which have profound implications for soil health and agricultural productivity. This study employed advanced climate projection models integrated with soil health simulation tools to assess the potential impacts of...
- Rotimi Kayode Ogundeji1, Nofiu Idowu Badmus2, Anuoluwapo Oluwayemisi Aleem 3 and Motunrayo Zainab Tijani4
1,2,4Department of Statistics, Faculty of Science, University of Lagos, Akoka, Nigeria.
3Department of Statistics and Data Science, Fox School of Business, Temple University, USA.
1Email: rogundeji@unilag.edu.ng;m 2Email: nibadmus@unilag.edu.ng 3Email:...
Modelling Climate Change Impacts on Phytotoxicity in Petroleum‑Hydrocarbon‑Contaminated Soils from Illegal Artisanal
Refining Activities in Nigeria
Nestor, B. Yeibimi, Iheoma M. Adekunle and Isaac U Isaac
2Environmental Remediation Research Group, Chemistry Department,
Faculty of Science, Federal University Otuoke, Bayelsa State
Corresponding Authour:...
The study conducted in the Niger Delta region explored the potential of simulation-based modeling to understand the interactive influence of climate variables and soil health dynamics on bell pepper (Capsicum species) growth in coastal Nigeria. By integrating agrometeorological datasets and soil diagnostic indicators, the study simulated key production scenarios under projected climatic...
Abstract
Background: Nigeria has the second highest number of people living with HIV with a national prevalence of 3.2% among young people aged 15 to 24 years. In Young People Living with HIV (YPLHIV), depression is the most prevalent mental health condition which adversely impacts disease progression if left untreated. Studies suggest that rates of depression and other psychosocial factors...
Physical properties of crops provide a vivid description of their sizes, shapes and behavioural characteristics which can be the basis for classification during handling and processing. Accurate prediction of mass and volume, among other important physical characteristics of crops, is crucial in the design of postharvest handling systems, particularly for sorting, grading and packaging of...
Indiscriminate dumping of waste is one of the major sources of pollution to the environment. Clean up of these wastes has led to appearance of dumpsites which has been used as farmlands. This study was carried out to assess the mobility potential of the Heavy Metals (HM) in selected vegetables with biochar application as composite component of dumpsite soil using Atomic Absorption...
Advancements in computer vision, particularly in image segmentation and object detection, play
a pivotal role in marine ecosystem monitoring—an essential component of conservation efforts.
However, traditional underwater object detection systems often suffer from limitations such as
poor visibility, low-quality imagery, high computational costs, and inadequate performance in
real-time...
Accurate determination of the two-phase gas compressibility factor (Z_2ph ) is crucial for reliable material balance calculations, reserve estimation, and production forecasting in rich gas condensate reservoirs. Although, experimental measurement of Z_2ph is the most accurate method, but it is expensive and time consuming. Also, existing correlations and genetic algorithm-based models often...
The adoption of Compressed Natural Gas (CNG) as an alternative fuel for vehicles has been promoted in Nigeria through the Presidential CNG Initiative (PCNGi) as a cost-effective and environmentally friendly solution to rising fuel costs and carbon emissions. However, public skepticism and infrastructural limitations pose significant barriers to widespread adoption. This study investigates...
At the end of this workshop, participants will be able to
• explain basic statistical concepts and terminologies used in statistics and health sciences
• define research hypotheses, determine the appropriate research design, and evaluate evidence in support or against hypotheses
• evaluate the basic assumptions underlying common biostatistical tests used in health sciences...
At the end of this workshop, participants will be able to
▪ Understand what is meant by the invariance of a differential equation
▪ Understand the concept of group transformations
▪ Derive infinitesimal transformations of the Lie group of transformations
▪ Determine Lie point symmetries of ordinary differential equations
▪ Use the derived Lie point symmetries to integrate ordinary...
Workshop Learning Objectives
At the end of this workshop, participants will understand
▪ Pandas Objects
▪ How to Read and View Data within the pandas framework
▪ Data Indexing and Selection
▪ Operations on DataFrame
Workshop Learning Objectives. At the end of this workshop, participants will understand
▪ Pandas Objects
▪ How to Read and View Data within the pandas framework
▪ Data Indexing and Selection
▪ Operations on DataFrame
At the end of this workshop, participants will be able to
• explain basic statistical concepts and terminologies used in statistics and health sciences
• define research hypotheses, determine the appropriate research design, and evaluate evidence in support or against hypotheses
• evaluate the basic assumptions underlying common biostatistical tests used in health sciences...
At the end of this workshop, participants will be able to
▪ Understand what is meant by the invariance of a differential equation
▪ Understand the concept of group transformations
▪ Derive infinitesimal transformations of the Lie group of transformations
▪ Determine Lie point symmetries of ordinary differential equations
▪ Use the derived Lie point symmetries to integrate ordinary...
Workshop Learning Objectives
At the end of this workshop, participants will understand
▪ Pandas Objects
▪ How to Read and View Data within the pandas framework
▪ Data Indexing and Selection
▪ Operations on DataFrame
At the end of this workshop, participants will be able to
• explain basic statistical concepts and terminologies used in statistics and health sciences
• define research hypotheses, determine the appropriate research design, and evaluate evidence in support or against hypotheses
• evaluate the basic assumptions underlying common biostatistical tests used in health sciences...
At the end of this workshop, participants will be able to
▪ Understand what is meant by the invariance of a differential equation
▪ Understand the concept of group transformations
▪ Derive infinitesimal transformations of the Lie group of transformations
▪ Determine Lie point symmetries of ordinary differential equations
▪ Use the derived Lie point symmetries to integrate ordinary...
Introduction: Countries in the Central African region have the highest prevalence rates of Intimate partner violence (IPV) in sub-Saharan Africa. Not only do the high IPV prevalence rates point to a critical public health concern but there are strong links of IPV to maternal depression, both of which carry profound implications for child development. IPV and maternal depression can severely...
Mental health problems, particularly depression and anxiety are a leading cause of disability among adolescents impacting their ability to function in various aspects of their life. In Nigeria, these mental health problems are exacerbated by factors such as socioeconomic instability and violence, which can vary by location and gender. Despite this growing concern, there is a gap in research on...
Accurate electricity demand forecasting is essential for power system planning, but misaligned forecasts in deregulated markets cause inefficiencies like increased costs and grid instability. This study proposes a framework integrating seasonal-trend decomposition (STL) with Hodrick-Prescott (HP) and Christiano-Fitzgerald (CF) filters to enhance hierarchical forecast accuracy. Using monthly...
by Dr. Olumide Adedeji,
LivingTrust Mortgage Bank
