Search Results - (( data realization ((bat algorithm) OR (_ algorithm)) ) OR ( data optimization method algorithm ))
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Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms
Published 2015“…A genetic algorithm search heuristic was chosen to solve this multi-objective optimization problem. …”
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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…However, these scheduling algorithms vary in term of their performance and most of these traditional and simple scheduling algorithms may not be efficient for large scale data. …”
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Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors
Published 2010“…The imaging algorithm was based on a non-linear optimization technique from which the single-step and iterative inversion schemes were realized. …”
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Investigating optimal smartphone placement for identifying stairs movement using machine learning
Published 2023“…The data was trained against 6 machine learning algorithms namely Decision Tree, Logistic Regression, Naive Bayes, Random Forest, Neural Networks and KNN. …”
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Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G
Published 2021“…In the alternating minimization algorithms, low complexity is proposed by enforcing an orthogonal constraint on the digital precoders to realize the joint optimization of computational complexity and communication power. …”
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Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G
Published 2021“…In the alternating minimization algorithms, low complexity is proposed by enforcing an orthogonal constraint on the digital precoders to realize the joint optimization of computational complexity and communication power. …”
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Optimizing the Management of Knowledge Assets using Swarm Intelligence
Published 2018“…This study presents the employment of swarm intelligence algorithm, i.e Firefly Algorithm, to automatically cluster text document without the use of k value. …”
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Bayesian Framework based Brain Source Localization Using High SNR EEG Data
Published 2019“…These sources can be localized using different optimization algorithms. This localization information is usable for diagnoses of brain disorders such as epilepsy, Schizophrenia, depression and Alzheimer. …”
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Artificial neural network and inverse solution method for assisted history matching of a reservoir model
Published 2017“…In the inverse solution method of training a neural network architecture, the training input and output data are set to be historical and reservoir data, respectively. …”
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Resource management algorithms for wavelength division multiplexing optical metro slotted ring networks
Published 2012“…The proposed Enhanced Virtual Output Queues Management (EVOQM) algorithm provides an elevated fairness for unicast and multicast data in the network. …”
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Factory simulation construction method and implementation of intelligent manufacturing
Published 2025“…This paper expounds the construction method of factory simulation, including digital modeling, simulation parameter setting, advanced algorithm application and real-time data fusion. …”
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Surface defect detection and polishing parameter optimization using image processing for G3141 cold rolled steel
Published 2016“…In this study a new technique is developed where the Ga only read on the specific scratch line without considering the whole image. To realize this, automatic cropping algorithm is developed to detect the region of interest and interpret the Ga value. …”
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A Risk Assessment of Transmission Line Overload Based on MLSI/PSO
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VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern
Published 2012“…These two models are based on topological placement method. DM is optimized using genetic algorithm (GA). …”
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Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm
Published 2024“…This research introduces the improved Archimedes optimization algorithm (IAOA) for data-driven modeling of continuous-time Hammerstein models with missing data. …”
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AQUEOUS TWO-PHASE POLYMER MIXTURE SYSTEM AS PROTEIN XTRACTION TECHNIQUE. MODELLING OF PROTEIN PARTITIONING BEHAVIOR
Published 2007“…The minimization problem is solved using the modified Shor's R-algorithm for non-smooth optimization. The applicability of the approach is demonstrated by simulating the thermodynamic behaviour of water-PEG6000-DxT500 system and the selective partitioning behaviour of phosphofructokinase and ovalbumin in this system. …”
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Modelling of Liquid-liquid Equilibrium Behaviour of Aqueous Two-Phase Polymer Mixture System for Protein Extraction
Published 2007“…We solve the minimization problem using the modified Shor's R-algorithm for non-smooth optimization [3,4]. We compare our results with the calculations of Johansson et al. [5] and the experimental data of Albertsson et al. [6].…”
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An improved method using fuzzy system based on hybrid boahs for phishing attack detection
Published 2022“…Moreover, Butterfly Optimization Algorithm and Harmony Search Algorithm were combined as optimization method led to a new method named BOAHS. …”
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