Search Results - (( java application customization algorithm ) OR ( linear interpolating based algorithm ))
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STEP-NC Interpolator for General 2D and 3D Parametric Curve / Dzullijah Ibrahim...[et al.]
Published 2017“…A hierarchical-based algorithm is used to extract the tool path data from STEP-NC tool path file of a product model. …”
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Solving fractional differential equations using fractional explicit method
Published 2024“…This research is focusing in solving the fractional differential equations (FDEs) for linear and non-linear type using fractional explicit method (FEM) with constant step-size. …”
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Solving fractional differential equations using fractional explicit method
Published 2024“…This research is focusing in solving the fractional differential equations (FDEs) for linear and non-linear type using fractional explicit method (FEM) with constant step-size. …”
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Multistep block methods for solving higher order delay differential equations
Published 2016“…The delay term in DDEs with constant delays is approximated using Hermite interpolation. Linear and Hermite interpolators are used to approximate the delay terms in DDEs of pantograph type. …”
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Thesis -
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Image Fusion for Travel Time Tomography Inversion
Published 2015“…Therefore, the ill-conditioned linear equations were changed into iterative normal system through two times of treatment and using images with different forward algorithms for image fusion, it reduced the influence effect of measurement error on imaging. …”
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Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia
Published 2006“…The developed algorithms are two-band algorithm, terma linear and modified algorithm from the combination of the visible and infrared thermal bands. …”
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A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems
Published 2012“…The investigation focuses on the use of two Similarity Reasoning (SR)-based methods, i.e., Analogical Reasoning (AR) and Fuzzy Rule Interpolation (FRI), to deduce each conclusion separately. …”
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Improving embedded linear elasticity in deformable models using stiffness matrix
Published 2015“…In this research, embedding of a linear elastic deformable model is presented. This research has resulted in a significant improvement in efficient animation based on physical objects that are very detailed. …”
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ADAPTIVE MODULATION AND CODING FOR WIMAX SYSTEMS
Published 2006“…The third is a blind autocorrelation based Linear Predictor Interpolator. Fixed transmission systems make use of average modulation and coding which has reasonable performance in both high and low SNR conditions in the communication channel. …”
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Final Year Project -
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Adaptive GRNN for the modelling of dynamic plants
Published 2002“…These adaptation strategies are formulated based on the inherent advantageous features found in GRNN, such as highly localised pattern nodes, good interpolation capability, instantaneous learning, etc.. …”
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Conference or Workshop Item -
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Gait identification using one-vs-one classifier model
Published 2016“…Besides that, the factor of linear interpolation is examined. Lastly, k-NN, MLP and SVM algorithm are compared in determining the best accuracy that works best with the OvO classifier model. …”
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Conference or Workshop Item -
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Direct Block Methods for Solving Special Second Order Ordinary Differential Equations and Their Parallel Implementations
Published 2008“…The second part of the thesis describes the derivation of the r-point block methods based on Newton-Gregory backward interpolation formula. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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Parallel strategies on a distributed parallel computer system
Published 2004“…There are IADEI method which is based on Richardson's formula and AGE\_BRIAN which is based on linear interpolation concept. …”
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Monograph -
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Prediction of rice biomass using machine learning algorithms
Published 2022“…Unmanned aerial vehicles (UAVs) may address these issues. Machine learning algorithms (MLs) can predict rice biomass from UAV-based vegetation indices (VIs). …”
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Development and Application of a Finite Element Distributed Rainfall Runoff Simulation Model
Published 2000“…Thus, the chosen time step increment for channel flow routing must be a common factor of that of lateral overland flow in order to satisfy the linear interpolation of overland outflow hydrograph as input into the channel. …”
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Ensemble learning using multi-objective optimisation for arabic handwritten words
Published 2021“…Most ensemble learning approaches are based on the assumption of linear combination, which is not valid due to differences in data types. …”
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Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour
Published 2010“…The RMS errors for all the interpolation and extrapolation test sets related to each array are in the range of 0.3 - 9.0%. …”
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Thesis