Search Results - (( software predictive modified algorithm ) OR ( java implication based algorithm ))
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Estimation of the denitrification in the lower Mississippi Valley
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Conference or Workshop Item -
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Modification of the CREAMS Nutrient submodel
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Conference or Workshop Item -
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System identification using Extended Kalman Filter
Published 2017“…Many algorithm have been proposed to do an estimation process such as Lavemberg-Marquardt (LM), Orthogonal Least Square (OLS), Recursive Prediction Error (RPE) and Modified Recursive Prediction Error (MRPE). …”
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Student Project -
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Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones
Published 2020“…The development of the prediction tool was conducted base on integrating three sequenced algorithms, which are sun position algorithm, shadow length and position algorithm, and expansion limit algorithm. …”
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Thesis -
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A matlab-based graphical user interface (GUI) to predict the food quality during frying process
Published 2022“…Then, the sum squared error (SSE) of modified model was compared with the SSE of existing model. …”
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Thesis -
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Wastewater treatment process: a modified model for oxidation pond
Published 2021“…The model has been solved numerically by using the 4th order Runge-Kutta method and a parameter fitting technique namely Nelder-Mead simplex algorithm embedded in MATLAB software. To validate the result, a comparison between the model and the experimental data was carried out and measured by using the root mean squared error (RMSE). …”
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Thesis -
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A study on solution of matrix riccati differential equations using ant colony programming and simulink / Mohd Zahurin Mohamed Kamali
Published 2015“…It has been found that by implementing the ACP algorithm, the solution predicted is approximately close or similar to the exact solution. …”
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Thesis -
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Comparison between fuzzy bootstrap weighted multiple linear regression and multiple linear regression: a case study for oral cancer modelling
Published 2018“…Methodology: Methodology building is based on the SAS algorithm (SAS 9.4 software) which is a robust computational statistic that consists the combination of robust regression, bootstrap, weighted data, Bayesian, and fuzzy regression method. …”
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Proceeding Paper -
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Application Of Neural Network In Malaria Parasites Classification
Published 2006“…Hybrid Multilayer Perceptron (HMLP) network with modified recursive prediction error algorithm will be developed using Borland C++ Builder. …”
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Monograph -
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Modeling the powder compaction process using the finite element method and inverse optimization
Published 2011“…First, it presents the implementation of the cap constitutive model into ABAQUS FE software using the closest point projection algorithm. …”
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Article -
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New methods of partial transmit sequence for reducing the high peak-to-average-power ratio with low complexity in the ofdm and f-ofdm systems
Published 2019“…The efficiency of the proposed methods is verified by comparing the predicted results with the existing modified PTS methods in the literature using Matlab software simulation and numerical calculation. …”
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Thesis -
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Improvement on optimal coordination of directional overcurrent relays in mesh distribution network system using artificial intelligence technique
Published 2015“…However,the Levenberg–Marquardt nonlinear function fitting algorithm application on solving the novel hybrid GA-ANN technique predicted the nonlinear time –current function fitting of each relay effectively with minimum mean square error (mse) between the target output and the actual output for effective generalization during supervised training of the network. …”
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Thesis -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Numerical simulation and experimental verification on distortions induced by wire-arc additive manufacturing components and costing analysis / Keval Priapratama Prajadhiana
Published 2024“…Once the substrate has been removed, the component distortion comparison is examined by means of modified substrate removal algorithm where the error percentage of the models ranges from 2.96% until 8.05%. …”
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Thesis -
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Implementation of MRAC, SVMPC and PID control based on direct digital control application for dc servomotor
Published 2005“…The main objective is to design and develop GUI software for speed control experiment, where Single Variable Model Predictive Control (SVMPC), Model Reference Adaptive Control (MRAC) and PID controllers’ design approaches has been applied. …”
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Thesis -
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