Search Results - (( developing square constructions algorithm ) OR ( java implication tree algorithm ))
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Parametric system identification and active vibration control of vibrational structures using genetic algorithm
Published 2007“…The sets of data obtained were utilised to develop ARX model using Least Squares (LS), Recursive Least Squares (RLS) and Genetic Algorithm (GA) methods. …”
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Influences of Cost Factors Affecting Technical Performance of Local Government Projects in Nigeria: A Partial Least Square-Structural Equation Modeling (PLS-SEM) Approach
Published 2016“…A Warp partial least square-structural equation modeling (PLS-SEM) software algorithm was used for the analysis of collected data. …”
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Mayfly Algorithm for Modelling a Horizontal Flexible Plate Structure
Published 2024“…The developed models using MA were then compared with traditional approach known as recursive least square (RLS) through a comparative analysis. …”
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Development Of Construction Noise Prediction Method Using Deep Learning Model
Published 2021“…Despite that, a few case studies can be found for noise prediction, which has a lack of study in construction noise prediction. A simple prediction chart method was developed on top of a stochastic algorithm called Monte Carlo simulation by complying with the standard BS 5228 for the noise prediction in the environmental impact assessment during the planning stage of a construction project. …”
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Final Year Project / Dissertation / Thesis -
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Key schedule algorithm based on coordinate geometry of a three-dimensional hybrid cube
Published 2019“…Triangular Coordinate Extraction (TCE) technique has also been introduced to extract the coordinates during the rotation of Hybrid Cube surface (HCs) and plays an important role in the development of KSAHC algorithm. The Hybrid Cube Encryption Algorithm (HiSea) has been implemented to validate the encryption keys that are generated from the proposed algorithm. …”
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Comparing three methods of handling multicollinearity using simulation approach
Published 2006“…PCR is a combination of principal component analysis (PCA) and ordinary least squares regression (OLS) while PLSR is an approach similar to PCR because a component that can be used to reduce the number of variables need to be constructed. …”
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Quantitative analysis of NaCl, NaOH, and β-phenylethylamine in water using ultraviolet spectroscopy coupled with partial least squares and net analyte preprocessing
Published 2020“…Hence, a new quantitative analysis method, which was based on ultraviolet (UV) spectroscopy coupled with partial least squares (PLS) and net analyte preprocessing (NAP), was developed. …”
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A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant
Published 2015“…The development of effluent removal prediction is crucial in providing a planning tool necessary for the future development and the construction of a septic sludge treatment plant (SSTP), especially in the developing countries. …”
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A Comparative Study On Some Methods For Handling Multicollinearity Problems
Published 2006“…PCR is a combination of principal component analysis (PCA) and ordinary least squares regression (OLS) while PLSR is an approach similar to PCR because a component that can be used to reduce the number of variables need to be constructed. …”
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A comparative study on some methods for handling multicollinearity problems
Published 2006“…PCR is a combination of principal component analysis (PCA) and ordinary least squares regression (OLS) while PLSR is an approach similar to PCR because a component that can be used to reduce the number of variables need to be constructed. …”
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Prediction of nanostructure of SnO2 properties using artificial neural networks / Khadijah Mohd Suhami ... [et al.]
Published 2021“…This modelling was developed based on trial and error at different network architecture, activation function and training algorithm. …”
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Conference or Workshop Item -
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Moderating effects of government support on the relationship between organizational innovativeness, culture and sustainable construction among Malaysian contractors
Published 2016“…The data collected were initially screened using SPSS (version 21), while Partial Least Squares Structural Equation Modeling (PLS-SEM) algorithm and bootstrap techniques were employed to test the hypothesized paths in this study. …”
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Data filtering of 5-axis inertial measurement unit using kalman filter
Published 2013“…Simulation with constructed data has been done to verify the algorithm. …”
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Undergraduates Project Papers -
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Optimal Weighted Learning of PCA and PLS for Multicollinearity Discriminators and Imbalanced Groups in Big Data (S/O: 13224)
“…The developed algorithm weighted the n objects contribution in explaining the separation between groups. …”
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Monograph -
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Strategic capabilities, innovation strategy and the performance of food and beverage small and medium enterprises
Published 2019“…Algorithm and bootstrapping techniques of Partial Least Squared Structural Equation Model (Smart PLS-3.0) was used to test the developed hypotheses of the study. …”
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