Search Results - (( a distribution function algorithm ) OR ( re evaluation ((_ algorithm) OR (new algorithm)) ))
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Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems
Published 2008“…A genetic algorithm is developed to tune the membership functions (MFs) of input variables of GDF and GSF controllers. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…To achieve an optimum waiting and response time this thesis has proposed a new approach utilizing the aforementioned modelling, optimizing and partitioning algorithms. …”
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Robust Kernel Density Function Estimation
Published 2010“…To remedy this problem, Kim and Scott (2008) proposed an Iteratively Re-weighted Least Squares (IRWLS) algorithm for Robust Kernel Density Estimation (RKDE). …”
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Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review
Published 2021“…Most of them either focused on solving newly re-formulated problems or on proposing new approaches, while a number of studies performed reviews and comparative studies on the performance of proposed algorithms. …”
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Segmentation of MRI brain images using statistical approaches
Published 2011“…Moreover, three improvements of EM for brain MRI segmentation are proposed, which incorporate neighbourhood information in a new manner in the clustering process. In addition, two algorithms for the post-processing of clustering results using user-interaction and the re-evaluation of boundary data in each cluster are presented. …”
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State-Aware re-configuration model for multi-radio wireless Mesh Networks
Published 2017“…The proposed algorithm re-assigns channels to radios and re-configures flows’ routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. …”
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Statistical analysis on enhanced 3D-AES block cipher cryptographic algorithm / Nor Azeala Mohd Yusof
Published 2021“…Randomness test is one of the measurement techniques which have been taken into consideration in the evaluation of the minimum security requirement of the block cipher algorithm. …”
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Disparity Refinement Process Based On Ransac Plane Fitting For Machine Vision Applications
Published 2017“…This paper presents a new disparity map refinement process for stereo matching algorithm and the refinement stage that will be implemented by partitioning the place or mask image and re-projected to the preliminary disparity images. …”
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Traffic management algorithms for LEO satellite networks
Published 2016“…In order to evaluate the proposed algorithm, a series of experiments to implement Discrete Event Simulation (DES) of a LEO satellite network by using ns-2 and C/C++ are conducted. …”
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TDMA scheduling analysis of energy consumption for iot wireless sensor network
Published 2019“…Finally, represent the difference between experimental results and the old results of E-T-DRAND will determine if the algorithm has been efficiently re-implemented.…”
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Evaluation of MAC's distributed queuing algorithm for Internet of things applications
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Development of an augmented reality based facility layout planning and optimization / Tan Chee Hau
Published 2020“…Production line commonly used algorithm such as shortest processing time (SPT), longest processing time (LPT), cycle time optimization and centre of gravity (CoG) algorithm are coded in this system which enables the production schedule and sequence to be optimized. …”
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Performance evaluation of m3 bottleneck based heuristic for M1M2M3 flow shop
Published 2012“…This project investigates the possibility of developing scheduling heuristic using bottleneck approach for a three machine flow shop scheduling with the tendency of dominant machine at the first process. Due to the re-entrant and permutation nature of the process routing, the actual bottlenecks were identified as M3 and it utilized makespan algorithms to identify bottleneck categories. …”
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U-Net Autoencoder for Edge-Preserved Denoising of Low Dose Computed Tomography Images: A Novel Technique
Published 2023“…The proposed algorithm has been evaluated on the KiTS19 Low-Dose CT Grand Challenge dataset and compared with other models such as Q-AE, Msaru-Net, and CT-ReCNN. …”
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U-Net Autoencoder for Edge-Preserved Denoising of Low Dose Computed Tomography Images: A Novel Technique
Published 2023“…The proposed algorithm has been evaluated on the KiTS19 Low-Dose CT Grand Challenge dataset and compared with other models such as Q-AE, Msaru-Net, and CT-ReCNN. …”
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Performance evaluation of m3 bottleneck based heuristic for M1M2M3 flow shop
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