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Peter Amoako-Yirenkyi

Mathematics

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Research Summary

(inferred from publications by AI)

The researcher's work spans multiple interdisciplinary fields, focusing on innovative mathematical and computational approaches across domains such as image processing, solar energy forecasting, numerical modeling of fluid flow, materials science, biometrics, fatigue analysis, ergonomics, optics for smart technologies, flood management, and advanced differential equations. Their research integrates techniques like fractional calculus, wavelet transforms, Chebyshev methods, and homogenization approaches to address challenges in medical imaging, photovoltaic forecasting, fluid dynamics, material properties, and energy systems. This holistic approach highlights their commitment to advancing both theoretical and applied aspects of science and engineering through rigorous mathematical modeling and interdisciplinary collaboration.

Research Themes

All Papers

A new construction of a fractional derivative mask for image edge analysis based on Riemann-Liouville fractional derivative(2016)
Time-Frequency Coherence and Forecast Analysis of Selected Stock Returns in Ghan Using Haar Wavelet(2019)
On the Analysis and Numerical Formulation of Miscible Fluid Flow in Porous Media Using Chebyshev Wavelets Collocation Method(2016)
Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method(2023)
Dynamic linear state space model for forecasting peak and short-term electricity demand using kalman filtered monte carlo method(2021)
Corrigendum to “Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method” [Heliyon Volume 9, Issue 8, August 2023, Article e18821](2025)
Performance Analysis of Image Smoothing Techniques on a New Fractional Convolution Mask for Image Edge Detection(2016)
Stochastic Optimal Selection and Analysis of Allowable Photovoltaic Penetration Level for Grid-Connected Systems Using a Hybrid NSGAII-MOPSO and Monte Carlo Method(2023)
Statistical Modeling for Prediction of CCT Diagrams of Steels Involving Interaction of Alloying Elements(2020)
Thermodynamic stable site for interstitial solute (N or O) in bcc refractory metals (Mo and Nb) using density functional theory(2022)
Stochastic Optimal Design of Household-Based Hybrid Energy Supply Systems Using Sample Average Approximation(2022)
Stochastic Optimal Harmonic Suppression with Permissible Photovoltaic Penetration Level for Grid-Linked Systems using Monte Carlo-Based Hybrid NSGA2-MOPSO(2023)
A Rigorous Homogenization for a Two-Scale Convergence Approach to Piping Flow Erosion with Deposition in a Spatially Heterogeneous Soil(2020)
A Formal Homogenization Approach to Piping Flow Erosion with Deposition in a Spatially Heterogeneous Soil(2020)
A New Multicontinuum Model for Advection-Diffusion Process of Single-Phase Nonlinear Flow in a Multiscale Fractured Porous Media(2022)
Fractional radial-cylindrical diffusivity model for levels of heterogeneity in petroleum reservoirs(2017)
Investigation of Fractional Compartmental Models with Application to Amiodarone Drug Diffusion in Pharmacokinetics(2023)
Investigation of fractional compartmental models in pharmacokinetics with application to amiodarone drug diffusion(2025)
A new macro-scale volume averaged transport model for diffusive dominated non-Darcian flow problem in multi-scaled naturally fractured reservoirs(2022)
Stochastic optimal harmonic suppression with permissible photovoltaic penetration level for grid-linked systems using Monte Carlo-based hybrid NSGA2-MOPSO(2024)
A robust Monte Carlo-driven multi-criteria framework for enhancing photovoltaic penetration level with minimal total power losses for grid-connected system(2025)
Chebyshev wavelets collocation method for simulating a two-phase flow of immiscible fluids in a reservoir with different capillary effects(2019)
Threshold Analysis of Wavelet Based Fingerprint Feature Extraction Methods on Multiple Impression Dataset(2014)
Cantor's Ternary Set Formula-Basic Approach(2015)
Establishing the Blink Cycle of the Eye using OTSU Method and Gaussian Filter(2017)
The stability of 3C-SiC(1 1 1) on Si(1 1 1) thin films: First-principles calculation(2021)
Boltzmann transformation of radial two-phase black oil model for tight oil reservoirs(2022)
A Stable Scheme of the Curvilinear Shallow Water Equations with No-Penetration and Far-Field Boundary Conditions(2023)
Human Fatigue Characterization and Detection Using the Eyelid State and Kalman Filter(2019)
Kalman Filter As A Threshold In Estimating The Level Of Fatigue Based On Eyelid Movement(2016)
Thermodynamic Stable Site for Interstitial alloy (N or O) in bcc-Refractory Metals using Density Functional Theory(2021)
Thermodynamic Stable Site for Interstitial alloy (N or O) in\n bcc-Refractory Metals using Density Functional Theory(2021)
Wavelets Based Feature Extraction With PCA For Predicting Autism In Neonates Using Navïe Bayes Classifier(2021)
A Stable Implementation of a Well-posed 2-D Curvilinear Shallow Water Equations with No-Penetration Wall and Far-Field Boundary conditions(2022)
A stable scheme of the Curvilinear Shallow Water Equations with no-penetration and far-field boundary conditions(2023)
Growth Patterns Between Ages 0 and 36 Months Among US Children With Orofacial Cleft: A Retrospective Cohort Study(2024)
Investigation of Fractional Compartmentalmodels in Pharmacokinetics with Application Toamiodarone Drug Diffusion(2024)
Stochastic and Correlated Waste Collection Problem with Time Windows: A Simheuristic Approach(2025)

Collaboration Network

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.