Search Results - (( model equations using algorithm ) OR ( _ communication system algorithm ))
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1
The visualization of three dimensional brain tumors' growth on distributed parallel computer systems
Published 2009“…The growth of the brain tumor through angiogenic process is described as parabolic model in partial differential equations. The discretization of the three-dimensional parabolic equations for the brain tumor’s growth mathematical model using a numerical finite-difference method will be implemented from the previous study of two dimensional model and thus a parallelization of algorithm simulation to computational resources based on high-performance computing systems will be used to generate the growth of the brain tumor in three dimensional. …”
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2
High performance simulation for brain tumors growth using parabolic equation on heterogeneous parallel computer systems
Published 2007“…This paper focuses on the implementation of parallel algorithm for the simulation of brain tumours growth using one dimensional parabolic equation, design on a distributed parallel computer system. …”
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3
High performance visualization of human tumor growth software
Published 2008“…The implementation of parallel algorithm based on parallel computing system is used to visualize the growth of human tumour. …”
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4
High performance simulation for brain tumours growth using parabolic equation on heterogeneous parallel computer system
Published 2007“…This paper focuses on the implementation of parallel algorithm for the simulation of brain tumours growth using one dimensional parabolic equation, design on a distributed parallel computer system. …”
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5
Early detection of breast cancer using wave elliptic equation with high performance computing
Published 2008“…This paper focuses on the implementation of parallel algorithm for the simulation of breast cancer tumor using two dimensional Helmholtz’s wave equation on a distributed parallel computer system (DPCS). …”
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6
Load-Balancing Models for Scheduling Divisible Load on Large Scale Data Grids
Published 2009“…The third stage integrates the proposed DLT based models with GA algorithm to solve the time consuming problem. …”
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7
Kalman filter for tracking a noisy cosinusoidal signal with constant amplitude
Published 2023“…The Kalman filter is utilized as the core algorithm for state estimation, leveraging its ability to combine noisy measurements and a dynamic model to provide optimal estimates. …”
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Proceeding Paper -
8
Optimization and discretization of dragonfly algorithm for solving continuous and discrete optimization problems
Published 2024“…The steepest-ascent hill climbing algorithm is used as a local search technique to improve the exploitation of the adapted discrete DA. …”
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9
Active contour model on digital mammograms using low-cost parallel computing systems
Published 2009“…ARS is a low-cost PCS developed to implement processing of full-field digital mammograms. In this system four processors are used that communicate via Ethernet network using LINUX as the operating system and Matlab Distributed Computing Engine (MDCE) as a platform to process the digital mammograms. …”
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Book Section -
10
Design and implementation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayawi
Published 2015“…It is performed using neural network Auto Regressive with exogenous (NNARX) model based on the input/ output experimental data. …”
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11
WURFL detection engine using cosine string similarity algortlhm / Illiasaak Ahmad ... [et al.]
Published 2013“…Our method is based on three stages: 1) define the problem formulation for device heterogeneity; 2) model a mathematical equation for device heterogeneity detection; 3) develop a cloud-based device heterogeneity detection algorithm. At the end of this research, we will provide a device heterogeneity detection algorithm that provides accurate information in resolving the heterogeneous device detection issues.…”
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Research Reports -
12
Grid portal technology for web based education of parallel computing courses, applications and researches
Published 2009“…C Programming, PVM, MPI and Matlab Distributed Simulation are used to fabricate the system.…”
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13
SURE-Autometrics algorithm for model selection in multiple equations
Published 2016“…Thus, this study aims to develop an algorithm for model selection in multiple equations focusing on seemingly unrelated regression equations (SURE) model. …”
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Pembinaan dan pelaksanaan algoritma selari bagi kaedah kelas TTHS dan TTKS dalam menyelesaikan persamaan parabolik pada sistem komputer selari ingatan teragih
Published 2004“…This thesis encompasses studies on recent advances in the development of parallel algorithmic techniques to solve large-scale problems involving the solution of systems of linear equations. …”
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15
Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm
Published 2019“…This extension of Autometrics for model selection was also developed for multiple equations by integrating it with seemingly unrelated regressions equations (SURE) and estimated using feasible generalized least squares (FGLS), known as SURE-Autometrics algorithm. …”
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16
Structural Equation Modeling Algorithm and Its Application in Business Analytics
Published 2017“…Structural Equation Modeling (SEM) is a statistical-based multivariate modeling methods, Application of SEM is similar but more powerful than regression analysis; and number of scientists using SEM in their research is rupidly inereasing. …”
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Book Chapter -
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Optical soliton perturbation with quadratic-cubic nonlinearity / Mir Asma
Published 2020“…The governing model is the Nonlinear Schrödinger Equation (NLSE). …”
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18
Assessing the simulation performances of multiple model selection algorithm
Published 2015“…The Autometrics is an algorithm for single equation model selection.It is a hybrid method which combines expanding and contracting search techniques.In this study, the algorithm is extended for multiple equations modelling known as SURE-Autometrics.The aim of this paper is to assess the performance of the extended algorithm using various simulation experiment conditions. …”
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Conference or Workshop Item -
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Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925)
Published 2021“…Hence, the integration of EM algorithm estimation is applicable in improving the performance of automated model selection procedures for multiple equations models…”
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Monograph -
20
Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem
Published 2004“…By using finite difference approximation, quasigeostrophic vorticity equations and thermodynamic equations are used to develop forecasting equations for each level. …”
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Thesis