Search Results - (( developing coupling coefficient algorithm ) OR ( java application tree algorithm ))
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A Model Development And Comparison Study On The Microwave Remote Sensing Of Snow Medium Using A Coupled Finite Element Method And Method Of Moment, And The Relaxed Hierarchical Equ...
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Final Year Project / Dissertation / Thesis -
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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Article -
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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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Article -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Design, modeling and implementation of antennas using electromagnetic bandgap material and defected ground planes
Published 2011“…In addition, a computational method combining Genetic Algorithm (GA) with surface meshing code for the analysis of a 2x2 antenna arrays on EBG was developed. …”
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Thesis -
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Thesis -
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Development and robust controller design for underactuated underwater glider platform for UMP lake monitoring
Published 2016“…The prototype of the AUG has been successfully developed and test in water tank environment.…”
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Research Report -
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
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Conference or Workshop Item -
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Inner resonance and outer current based control strategy for inductive power transfer system used in wireless charging for electric vehicles
Published 2024“…This work proposes a unique control algorithm to charge the Li-ion battery under coupling coefficient and load variations. …”
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Article -
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A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil
Published 2021“…In addition, the proposed hybrid model achieved the highest correlation coefficient, higher by 27% on average compared with the benchmark models. …”
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Thesis -
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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Aerodynamic study of symmetrical and asymmetrical airfoil in varying angle of attack airflows
Published 2022“…The viscous-inviscid coupled panel method algorithm XFOIL is integrated within the graphical user interface of QBlade for the construction of custom airfoils and the computation of airfoil lift-and drag coefficient polars.…”
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Academic Exercise -
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Stochastic And Modified Sequent Peak Algorithm For Reservoir Planning Analysis Considering Performance Indices
Published 2016“…Subsequently, using the simulation results, new regression equations are developed to model the critical period and total storage capacity of study systems individually and three systems together applying standard demand parameter, reliability and vulnerability performance measures and coefficient of variation and skewness of annual flows. …”
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Thesis -
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An improved marine predators algorithm tuned data-driven multiple-node hormone regulation neuroendocrine-PID controller for multi-input–multi-output gantry crane system
Published 2023“…Recognizing this challenge, the current paper introduces a novel data-driven control scheme that relies exclusively on input and output data. Undertaking a couple of modifications to the conventional marine predators algorithm (MPA), random average marine predators algorithm (RAMPA) with tunable adaptive coefficient to control the step size (CF) has been proposed in this paper as an enhanced alternative towards fine-tuning data-driven multiple-node hormone regulation neuroendocrine-PID (MnHR-NEPID) controller parameters for the multi-input–multi-output (MIMO) gantry crane system. …”
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Development of controller for an underactuated autonomous underwater vehicle (AUV)
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Research Report -
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AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. …”
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Article -
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Satellite based quantitative rainfall estimation for flash flood forecasting / Wardah Tahir
Published 2008“…In addition, an example rainfall-runoff model is developed, namely the unit hydrograph technique to be linked with the satellite-based QPF to become a coupled hydro-meteorological FFWS. …”
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Thesis -
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Grid-based remotely sensed hydrodynamic surface runoff model using emissivity coefficient / Jurina Jaafar
Published 2015“…The coupled remote sensing and surface runoff model is able to calculate surface runoff with an addition of emissivity value to represent the surface roughness coefficient.…”
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Thesis -
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Validation of a 2D multispectral camera: Application to dermatology/cosmetology on a population covering five skin phototypes
Published 2011“…The multispectral system provides images of the skin reflectance at different spectral bands, coupled with a neural network-based algorithm that reconstructs a hyperspectral cube of cutaneous data from a multispectral image. …”
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Conference or Workshop Item
