Search Results - (( process rectification using algorithm ) OR ( a distribution function algorithm ))
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Graph-based conflict rectification using stroke gesture approach in timetabling system (CORECTS)
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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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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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Thesis -
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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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A Practical Method for Camera Calibration in Stereo Vision Mobile Robot Navigation
Published 2012“…The data of calibration will be used in image rectification between two images. Then the rectified image will go through the block matching process. …”
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An empirical study of density and distribution functions for ant swarm optimized rough reducts
Published 2011“…However, the description and comparison of both functions are very limited. Hence, this paper compares the solution vector of ACO is represented by both density and distribution function to search for a better solution and to specify a probability functions for every particle (ant), and generate components of solution vector, which satisfy Gaussian distributions. …”
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Book Chapter -
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Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system
Published 2023“…In this paper, an embedded parallel and distributed genetic algorithm (EPDGA) with dynamic parameter setting on a multiprocessor system is proposed. …”
Conference paper -
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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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Levy tunicate swarm algorithm for solving numerical and real-world optimization problems
Published 2022“…The proposed Levy Tunicate Swarm Algorithm (LTSA) is a novel metaheuristic algorithm that integrates the Levy distribution into a new metaheuristic algorithm called Tunicate Swarm Algorithm (TSA) to solve numerical and real-world optimization problems. …”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…There is a need to achieve optimality in allocating and sizing of DG in the distribution system network. …”
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Levy slime mould algorithm for solving numerical and engineering optimization problems
Published 2022“…The proposed Levy Slime Mould Algorithm (LSMA) is a novel metaheuristic algorithm that integrates the Levy distribution into a new metaheuristic called Slime Mould Algorithm (SMA) for solving numerical and engineering problems. …”
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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets
Published 2019“…Thereafter, a multi-objective hybrid algorithm (MOHA), an extension of the self-adaptive hybrid algorithm is proposed and tested on the established multi-objective (MO) test functions. …”
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Thesis -
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Biceps brachii surface EMG classification using neural networks
Published 2012“…The acquisition module is used to acquire EMG signals from the subject. Several signal processing methods are carried out in the preprocessing module, where the EMG signal will undergo a series of processes like filtering, rectification and integration. …”
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Distributed generation allocation to reduce losses and improve voltage profile genetic algorithm: article
Published 2010“…This paper presents a method for the optimal allocation of Distributed generation in distribution systems. …”
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A Comparative Performance Analysis of Gaussian Distribution Functions in Ant Swarm Optimized Rough Reducts
Published 2011“…Solution vector of ACO is presented by implementing density and distribution function to search for a better solution and to specify a probability functions for every particle (ant). …”
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Offline study on loss optimization in distribution networks using Artificial Bee Colony (ABC) algorithm: article / Deezex Noor Ainizaa Abdullah
Published 2009“…The study involves the development of Artificial Bee Colony (ABC) algorithm to implement loss minimization in a distribution system. …”
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Offline study on loss optimization in distribution networks using Artificial Bee Colony (ABC) algorithm / Deezex Noor Ainizaa Abdullah
Published 2009“…The study involves the development of Artificial Bee Colony (ABC) algorithm to implement loss minimization in a distribution system. …”
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Thesis -
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