Search Results - (( using rectification using algorithm ) OR ( parametric classification based algorithm ))
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Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
Published 2020“…The second stage involved assessing the spatial resolution effect through utilizing Landsat 8 (30 m) and Sentinel (10 m) data on LCM accuracy using SVM, K-Nearest Neighbor (K-NN), Random Forest (RF), and Neural Network (NN) algorithms. Based on the concluding overall analysis, the classification accuracy derived from Sentinel 2 imagery utilizing SVM and RF, Landsat 8 applying SVM donated higher than other methods of classification. …”
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Nearest neighbour group-based classification
Published 2010“…In this paper, we extend three variants of the nearest neighbour algorithm to develop a number of non-parametric group-based classification techniques. …”
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Validation on an enhanced dendrite cell algorithm using statistical analysis
Published 2017“…In this study, we evaluated the performance of the enhanced algorithm called dendrite cell algorithm using sensitivity, specificity, false positive rate, and accuracy and validated the result using parametric and non parametric statistical significant tests. …”
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Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms
Published 2018“…The experimental results are also thoroughly evaluated and verified via non-parametric statistical analysis. Based on the obtained experimental results, the OGC, DPSO, and VDEO frameworks achieved an average enhancement up to 24.36%, 9.38%, and 11.98% of classification accuracy, respectively. …”
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Graph-based conflict rectification using stroke gesture approach in timetabling system (CORECTS)
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Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images
Published 2015“…Boundary of interested area can be acquired using a predefined algorithm or define by user using interactive drawing. …”
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OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING
Published 2009“…Abstract This paper presents the application of Genetic Algorithm (GA) and Simulated Annealing (SA) techniques for optimal design and analysis of a DC–DC converter with synchronous rectification normally used in battery charge/discharge circuits in DC uninterruptible power supply systems. …”
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OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING
Published 2009“…This paper presents the application of Genetic Algorithm (GA) and Simulated Annealing (SA) techniques for optimal design and analysis of a DC–DC converter with synchronous rectification normally used in battery charge/discharge circuits in DC uninterruptible power supply systems. …”
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Novel voice activity detection based on cepstrum moments
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A Practical Method for Camera Calibration in Stereo Vision Mobile Robot Navigation
Published 2012“…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software.…”
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A Pixel to Pixel Correspondence and Region of Interest in Stereo Vision Application
Published 2012“…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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Simulation and design of A DC-DC synchronous converter by intelligent optimization techniques
Published 2010“…The design and analysis of the converter with the Genetic Algorithm are performed using software tools within the MATLAB/ SIMULINK environment. …”
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An Analysis Of Multiple Size Region Of Interest In Disparity Mapping For Stereo Vision Application
Published 2011“…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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A Pixel Matching Process And Multiples Roi For Stereo Images In Stereo Vision Application
Published 2011“…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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Development of compound clustering techniques using hybrid soft-computing algorithms
Published 2006“…Previously, there is limited work on the clustering and classification of biologically active compounds into their activity based classes using fuzzy and neural network. …”
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Oil palm mapping over Peninsular Malaysia using Google Earth Engine and machine learning algorithms
Published 2020“…In this study, 30 m Landsat 8 data were processed using a cloud computing platform of Google Earth Engine (GEE) in order to classify oil palm land cover using non-parametric machine learning algorithms such as Support Vector Machine (SVM), Classification and Regression Tree (CART) and Random Forest (RF) for the first time over Peninsular Malaysia. …”
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Hybrid conjugate gradient using exact line search in photovoltaic system / Muhammad Ariiq Iqbaal Azizul Firdaus
Published 2025“…Various studies have been undertaken by implementing the CG method in image restoration, optimal rocket landing guidance and motion control field. There are a few classifications of CG method such as classical, hybrid, three-term and parametric CG methods. …”
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