25 Jul 2025Open access
Thermal Diffusivity Analysis of Metallic Conductors Using a Hybrid RK6 and Neural Network for Heat Transfer SimulationPublisher siteJournal of Advanced Research in Numerical Heat Transfer, Model Reduction and Neural Networks
Active, last published 2026
In numerical methods for differential equations
Sabastine
Emmanuel
Scholar“Research focused on Numerical methods for differential equations and adjacent fields.”
Federal University Lokoja
Nigeria
Claim Your ProfileNigeria4
H-index
40
Citations
Sabastine has not officially claimed their profile. If you are Sabastine, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
abastine Emmanuel is a researcher working on Numerical methods for differential equations. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Sabastine's work has been cited 40 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Numerical methods for differential equations×7Fractional Differential Equations Solutions×4Model Reduction and Neural Networks×4COVID-19 epidemiological studies×3Mathematical and Theoretical Epidemiology and Ecology Models×3
04 · Where I am
Affiliations
Affiliation on published researchFederal University Lokoja, NigeriaDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
5 works21 May 2025Open access5cites
A residual-based adaptive deep learning hybrid block algorithm for partial differential equations with singularitiesPublisher siteAin Shams Engineering Journal, Model Reduction and Neural Networks
30 Mar 2025Open access2cites
Adaptive Portfolio Strategies: Comparing Pre-, during and Post-COVID-19 Dynamics using Mean-Variance OptimizationPublisher siteSemarak International Journal in Modern Accounting and Finance, Financial Markets and Investment Strategies
20 Sept 2024Open access5cites
Leveraging feed-forward neural networks to enhance the hybrid block derivative methods for system of second-order ordinary differential equationsPublisher siteJournal of Computational Mathematics and Data Science, Numerical methods for differential equations
24 Feb 2024Open access7cites
Multi-derivative hybrid block methods for singular initial value problems with applicationPublisher siteScientific African, Fractional Differential Equations Solutions
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Sabastine?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you