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Approximating Non Linear Higher Order ODEs By A Three Point Block Algorithm
Published 2024journal::journal article -
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ODEcal: ordinary differential equation calculator by using MATLAB-GUI
Published 2023“…It is a standalone application developed using MATLAB App Designer to solve initial value problems of Differential Equations (ODEs) numerically. …”
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An effective wavelet neural network approach for solving first and second order ordinary differential equations
Published 2024“…Hence, this study presents a stochastic model utilizing wavelet neural networks (WNNs) to approximate ODEs. …”
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Family of singly diagonally implicit block backward differentiation formulas for solving stiff ordinary differential equations
Published 2021“…Numerical algorithm of the method is designed to solve the second order stiff ODEs directly. …”
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Modelling of Adsorption of Dyes from Aqueous Solution by Activated Carbon
Published 2004“…In this study, a mathematical model for adsorption rate is developed based on the FPCDSD model. …”
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A Film-Pore-Surface Concentration Dependent Model For Adsorption Of Dye Onto Activated Carbon
Published 2005“…In This Work, A Mathematical Model For Adsorption Rate Was Developed Based On The Film-Poreconcentration Dependent Surface Diffusion (FPCDSD) Model. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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12
NUMERICAL MODELING OF TROPOSPHERIC RADIO WAVE PROPAGATION USING WAVELETS
Published 2012“…In this work, two novel wavelet based numerical algorithms are presented for tropospheric radio wave propagation modeling. …”
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Implementation of luo-rudi phase 1 cardiac cell excitation model in FPGA
Published 2017“…For the rapid prototyping, a nonlinear Ordinary Differential Equation (ODE)based algorithm of the LR-I model is implemented by using Hardware Description Language (I-IDL) Coder that is capable to convert MATLAB Simulink blocks designed into a synthesisable VHSIC Hardware Description Language (VHDL) code and verified using the FPGA-In-the Loop (FIL) Co-simulator. …”
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14
Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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Mixed convection flow of dusty viscoelastic with aligned magnetic field over a vertical stretching sheet / Muhammad Azfar Hanis Muhammad Khairi
Published 2025“…Hence, validating the developed numerical algorithm and graphical outputs. …”
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Modelling transmission dynamics of covid-19 during Pre-vaccination period in Malaysia: a predictive guiseird model using streamlit
Published 2023“…This outbreak can be represented in the mathematical expressions of a non-linear system of ordinary differential equations (ODEs). With the lack of a predictive SEIRD model in terms of Graphical Users Interface (GUI) in Malaysia, this paper aims to model the COVID-19 outbreak in Malaysia during the pre-vaccination period using the Susceptible-Exposed-Infected-Recovered-Death (SEIRD) model with time-varying parameters, then develop a GUI-SEIRD predictive model using Streamlit Python library. …”
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Proceeding Paper -
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Modelling transmission dynamics of Covid-19 during pre-vaccination period in Malaysia: a GUI-based seird predictive model using Streamlit
Published 2024“…This outbreak can be represented in the mathematical expressions of a non-linear system of ordinary differential equations (ODEs). With the lack of a predictive SEIRD model in terms of Graphical Users Interface (GUI) in Malaysia, this paper aims to model the COVID-19 outbreak in Malaysia during the pre-vaccination period using the Susceptible-Exposed-Infected-Recovered-Death (SEIRD) model with time-varying parameters, then develop a GUI-based SEIRD predictive model using Streamlit Python library. …”
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Non-darcy newtonian liquid flow with internal heat generation using boundary conditions of the third kind of fully developed mixed convection in a vertical channel
Published 2023“…An analysis of the impact of internal heat generation and other heat parameters on the temperature, velocity and rate of heat transfer of the liquid moving upward in a channel is studied. A fully developed non-Darcy flow using boundary conditions of the third kind with internal heat generation in a vertical channel is selected as the mathematical model. …”
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Stochastic model of cancer growth with the effect of glycosaminoglycans (GAGs) as anticancer therapeutics
Published 2019“…The newly developed of stochastic model is expected to be appropriate for other types of cancer cells as well. …”
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