Search Results - (( dynamic deviation selection algorithm ) OR ( java application customization algorithm ))
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Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…To rectify this problem, we propose a Dynamic Robust Bootstrap-LTS based (DRBLTS) algorithm where the percentage of outliers in each bootstrap sample is detected. …”
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Hybrid Balance Artificial Potential Field Navigation System For An Autonomous Surface Vessel In Riverine Environment
Published 2019“…The riverbanks are selected as the visual cues for the river tracking. …”
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The Development of an Algorithm to Determine Axial Capacity of Piles from SPT N-Values
Published 2000“…An algorithm was developed to determine axial capacity of piles in sand and clay. …”
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Enhancing high-dimensional streaming data analysis: optimizing Online Feature Selection for handling drift using optimization technique and ensemble learning
Published 2024“…This research addresses the challenge by devel-oping innovative solutions in optimizing Online Feature Selection (OFS) to manage feature irrelevancy and redundancy, tackling the issues of Feature Drift, and rigor-ously validating the proposed algorithms in high-dimensional dynamic data streams. …”
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Reactive approach for automating exploration and exploitation in ant colony optimization
Published 2016“…The third component is the ACO-based adaptive parameter selection algorithm to solve the parameterization problem which relies on quality, exploration and unified criteria in assigning rewards to promising parameters. …”
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Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam
Published 2015“…Further, after a careful investigation into the OLS algorithm, it was shown that the ERR technique which is an essential part of the algorithm to reach model parsimony, has led the resultant model to select an incorrect model terms albeit some improvement in model selection criteria and validation method adopted in this study. …”
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Data driven neuroendocrine pid controller for mimo plants based adaptive safe experimentation dynamics algorithm
Published 2020“…Therefore, this study proposed the adaptive safe experimentation dynamics (ASED) algorithm to improve the SED algorithm performance accuracy by minimizing its objective function in terms of mean, best, worst, and standard deviation analysis. …”
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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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Mapping of the air pollution dispersion in the Klang Valley using remote sensing and GIS techniques / Suharti Ismail
Published 2007“…Certain algorithms and equations are employed in this study. …”
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A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem
Published 2009“…The OCGA is compared with other well known local search method namely dynamic length tabu search, randomised steepest descent method, and other variants of genetic algorithms using extensive data sets collected from the literatures. …”
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UV-vis spectrophotometric and artificial neural network for estimation of ammonia in aqueous environment using cobalt(II) ions
Published 2024“…A set of absorbance data for the [Co(NH3)(6)](2+) complex at selected wavelengths was input for ANN training using a back-propagation algorithm. …”
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A smart spectrum access technique for dynamic multi-hop routing in cognitive radio-based disaster response networks
Published 2022“…The multi-hop route selection is executed using the Hybrid Spiral Penguin Optimization (HSPO) algorithm based on the decision made by the DE-D2PG. …”
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Modeling of flood water level prediction using NNARX / Fazlina Ahmat Ruslan
Published 2015“…Further, after a careful investigation into the OLS algorithm, it was shown that the ERR technique which is an essential part of the algorithm to reach model parsimony, has led the resultant model to select an incorrect model terms albeit some improvement in model selection criteria and validation method adopted in this study. …”
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Establishment of spectral subtraction-based algorithm for experimental modal analysis under operating condition
Published 2022“…The artificial ambient was selected from the second half of the reconstructed signal. …”
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Perturbation stochastic model updating of a bolted structure / Mohamad Azam Shah Aziz Shah
Published 2022“…The comparison of the results between the updated dynamic behaviour of variability and EMA showed that the proposed scheme was highly able to improve the initial stochastic prediction of the bolted structure from 23.25 % to 1.5 % and 503.48 % to 9.69 % for mean and standard deviation respectively. …”
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Monitoring and determination of CO2 by using optical fibre sensor and artificial neural network / Faiz Bukhari Mohd Suah, Abdul Mutalib Md Jani and Siti Aminah Md Ali
Published 2006“…The bromophenol blue indicator, which has a limited dynamic range of 300-550 pH units, was found to show higher pH dynamic range of 200-1200 and with low calibration error after training with ANN The enhanced ANN could be used to predict the new measurement spectra from unknown buffer solution with an average error of 006 pH units. …”
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Design & Development of a Robotic System Using LEGO Mindstorm
Published 2006“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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