Search Results - (( java implication based algorithm ) OR ( framework equation model algorithm ))

Impulsive differential equations by using the Euler method by Amir Hamzah1, Nor Shamsidah, Mamat, Mustafa, Kavikumar, J., Lee, Siaw Chong, Ahmad, Noor’ani

“…The theory of impulsive differential equations is emerging as an important area of investigation since such equations appear to represent a natural framework for mathematical modeling of several real phenomena. …”
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Aplikasi rangkaian neural dalam pengesanan simpang bagi penterjemah lakaran pintar by Subri, Syarul Haniz

“…Many conventional corner detectors nowadays are based on mathematical models and equations. This research developed a corner detector without using complicated mathematical models and equation. …”
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Enhancement of image recognition in digital close-range photogrammetry using mathematical equations and camera calibration by Thomas, Muhammad Adrian

“…The feasibility of the framework for generating a 3D model using photogrammetry was verified with a 3D model generated using ATOS 3D Scanner (high resolution 3D scanner for reverse engineering). …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Similarity reasoning-driven evolutionary fuzzy system for monotonic-preserving models by Jee, Tze Ling

“…Hence, the proposed framework is further extended, and a set of mathematical conditions are adopt~d as governing equation. …”
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Optimization of emulsion polymerization of styrene and methyl methacrylate (MMA) by Yok, Loke Kam

“…The complexities of the process were represented by mathematical models for optimization and control. A process model involving the equations for mass and energy balance describing the particle evolution in a batch reactor and diffusion controlled kinetics is incorporated into the optimization framework. …”
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Nondimensionalized univariate equation characterizing optimal state feedback control for collision avoidance by Phuman Singh, Amrik Singh, Nishihara, Osamu

“…Second, a two-point boundary value problem derived for the integrated control is reduced to a single equation with an unknown via algebraic simplifications, and the bisection method turns out to be the most appropriate among the algorithms that have been tested. …”
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Parametric estimation of the immunes proportion based on BCH model and exponential distribution using left censored data. by I. Aljawadi, Bader Ahmad, Abu Bakar, Mohd Rizam, Ibrahim, Noor Akma, Midi, Habshah

“…In this study we investigated the estimation of proportion of patients curd of cancer in case of left censored data based on the Bounded Cumulative Hazard (BCH) model proposed by Chen in 1999. The analysis provided the Maximum Likelihood Estimation (MLE) of the parameters within the framework of the Expectation Maximization (EM) algorithm where the numerical solutions of the estimation equations of the cure rate parameter could be employed. …”
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Variable Neighborhood Descent and Whale Optimization Algorithm for Examination Timetabling Problems at Universiti Malaysia Sarawak by Emily Sing Kiang, Siew

“…A mathematical model grounded in real-world data was developed to capture the latest operational requirements. …”
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Predictive performance of anti-lock braking system with PID controller optimized by gravitational search algorithm for a quarter car model: Simulation modeling and control by Rahmat, Mohd Sabirin, Ahmad, Fauzi, Aparow, Vimal Rau, Ramli, Rizauddin, Mohamed Haris, Sallehuddin, Mohd Sabri, Mohd Anas, Meor Ahmad, Meor Iqram, Mustafa, Mohd Muhyidin

“…This research addresses these issues by developing an ABS model using a quarter-car framework incorporated with a PID controller optimized by using Gravitational Search Algorithm (GSA). …”
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An analytical approach on parametric estimation of cure fraction based on weibull distribution using interval censored data. by I. Aljawadi , Bader Ahmad, Abu Bakar, Mohd Rizam, Ibrahim, Noor Akma

“…Maximum likelihood estimation (MLE) method is proposed to estimate the parameters within the framework of expectation-maximization (EM) algorithm, Newton Raphson method also employed. …”
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Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms by Choong, Chun Sern

“…It was shown that up to 95.02% of the trained Random Forest Model could be classified, indicating that the established framework is viable for pallet classification. …”
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Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease by Temidayo Oluwatosin Omotehinwa, David Opeoluwa Oyewola, Ervin Gubin Moung

“…Findings The optimized LightGBM model showed significant improvement in early CHD detection. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Gaussian process-based inversion: A new approach for estimating hydrocarbon parameters in controlled-source electromagnetic application by Muhammad Naeim, Mohd Aris, Hanita, Daud, Dass, Sarat Chandra, Nagaratnam, Shalini, Noryanti, Muhammad, Evizal, Abdul Kadir, Maharani, Warih

“…Many inversion codes in marine controlled-source electromagnetic (CSEM) inverse problems use numerical partial differential equation (PDE) solvers as the forward solutions modelers. …”
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Designing new chaotic and hyperchaotic systems for chaos-based cryptography by Kadhim, Al Karawi Hayder Natiq

“…Security analysis shows that the new algorithm has good security performance.This thesis further proposed an M-dimension model as a methodological framework for producing new high-dimensional discrete hyperchaotic systems. …”
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Artificial neural networks to solve the singular model with Neumann–Robin, Dirichlet and Neumann boundary conditions by Kashif Nisar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Ag. Asri Ag. Ibrahim, Rodrigues, Joel J. P. C., Samy Refahy Mahmoud, Bhawani Shankar Chowdhry, Manoj Gupta

“…The aim of this work is to solve the case study singular model involving the Neumann–Robin, Dirichlet, and Neumann boundary conditions using a novel computing framework that is based on the artificial neural network (ANN), global search genetic algorithm (GA), and local search sequential quadratic programming method (SQPM), i.e., ANN-GA-SQPM. …”
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Review on gas-liquid mixing analysis in multiscale stirred vessel using CFD by Sajjadi, B., Abdul Raman, Abdul Aziz, Ibrahim, Shaliza, Shah, R.S.S.R.E.

“…In CFD simulations for gas-liquid systems in stirred vessels, bubble size distribution is the most important parameter; hence, different techniques for formulation of bubble size equations have been investigated. These techniques involve source and sink terms for coalescence or breakup and provide a framework in which the population balance method together with the coalescence and breakup models can be unified into three-dimensional CFD calculations. …”
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Mathematical modelling of covid-19 transmission and vaccine effectiveness for a university by Shahirah Atikah, Mohamad Husnin

“…The model is based on Susceptible-Infected-Recovered-Dead (SIRD) framework and in the form of a set of Ordinary Differential Equations. …”
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Unlocking insights: A comprehensive dataset analysis on the acceptance of computational thinking skills among undergraduate university students through the lens of extended techno... by Rosli, Mohd Shafie, Awalludin, Muhammad Fairuz Nizam, Tau Han, Cheong T, Saleh, Nor Shela, Md Noor, Harrinni

“…This dataset stands among the pioneering efforts to assess the novel covariance-based structural equation model algorithm within SmartPLS 4, presenting a valuable resource for future research employing the same mechanism.…”
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