Search Results - (( developing regression designing algorithm ) OR ( java implication based algorithm ))
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Development of generic algorithm in wheel-typed hybrid rocket grain design for performance estimation
Published 2012“…However, the behavior of hybrid rockets is not fully understood, with issues specifically related to combustion instability and lowered regression rate. To investigate the characteristics of hybrid rocket performance we develop generic algorithm code. …”
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Proceeding Paper -
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Forecast innovative development level in green supply chains using a comprehensive fuzzy algorithm
Published 2022“…The results are compared with Linear Regression, Logistic Regression, Random Forest, Gaussian NB, and Multi-Layer Perceptron. …”
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Web-based prediction system of restaurant popularity using linear regression / Aiman Zikri Mohd Zamri
Published 2017“…The unnecessary data which is unneeded for the system will be filtered. To develop the system, the processed data will be used to calculate the Restaurant Popularity using probability in Design and Development Phase. …”
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A New Optimization Algorithm based on Copulation Behavior of Simine Jackals
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Conference or Workshop Item -
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Simulation of wheel type fuel grain in hybrid rocket motor
Published 2013“…Results show an increase of the regression rate and thrust-to-weight ratio on a wheel-typed grain design compared to multiple circular port grain design. …”
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Proceeding Paper -
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
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Thesis -
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Effectiveness of wheel-typed grain design for hybrid rocket motor performance
Published 2013“…The valuation of variety port numbers are presented as well as comparison of multiple circular grain design. It was found that wheel-typed grain design improves 5% on the regression rate. …”
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Proceeding Paper -
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Enhancing electricity consumption forecasting in limited dataset: A simple stacked ensemble approach incorporating simple linear and support vector regression for Malaysia
Published 2025“…This article introduces a novel artificial intelligence (AI) time-series algorithm, a simple stacked ensemble of simple linear regression (SLR) and Support Vector Regression (SVR), designed to forecast Malaysia’s annual electricity consumption, particularly in scenarios with limited datasets utilizing the Cross Industry Standard Process for Data Mining (CRISP-DM) data science methodology. …”
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Diamond price prediction using random forest algorithm / Nur Amirah Mohd Azmi
Published 2025“…Traditional methods struggle to model these complexities effectively, necessitating adoption of advanced algorithms to improve accuracy. The aim of this project is to develop a Diamond Price Prediction System using Random Forest, designed to accurately predict diamond prices based on attributes. …”
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Thesis -
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AI recommendation penetration testing tool for SQL injection: linear regression
Published 2025“…This technique involves the development and implementation of an algorithm designed to improve the efficiency of security evaluations by suggest the suitable penetration testing tools. …”
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Hybrid rocket performance with varying additive concentrations
Published 2013“…To investigate the characteristics of hybrid rocket performance we develop a generic simulation algorithm based on a legacy interior ballistic model. …”
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Proceeding Paper -
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Standard equations for predicting the discharge coefficient of a modified high-performance side weir
Published 2017“…Four different forms of the equations and two non-dimensional input combinations were used to develop the most appropriate model. The results obtained by our simple standard equations optimized by the PSO algorithm were compared with those of complex nonlinear regression equations, and our equations were more accurate in modeling the discharge coefficient. …”
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Extended spatial decision tree algorithm for classifying hotspot occurrence
Published 2013“…For comparison, classifiers for hotspots occurrence were also developed using the non-spatial methods namely the ID3 algorithm and the C4.5 algorithm as well as the logistic regression. …”
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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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Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique
Published 2022“…The study also developed an algorithm for predictive EMS using fuzzy model predictive control technique based on regression algorithm. …”
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Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…In addition, the idea of parallelism is applied on the underlying FDM model to reduce the computational time taken for the numerical simulation. A data parallel algorithm (DPA-EHD) is designed and implemented for the EHD equations. …”
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Information Theoretic-based Feature Selection for Machine Learning
Published 2018“…Various experiments were carried out to assess and test components of IFS algorithm. The first test was designed to evaluate the formulated IFS Selection Criterion Strategy (MI estimator) by comparing it with six different MI estimator benchmarks. …”
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Design and implementation of a real-time adaptive learning algorithm controller for a 3-DOF parallel manipulator / Mustafa Jabbar Hayawi
Published 2015“…Design and development an adaptive learning algorithm controller ALAC of position the actuators is presented in real time parallel manipulator based on artificial neural network ANN. …”
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