Search Results - property distribution ((((selection algorithm) OR (conversion algorithm))) OR (bat algorithm))
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An improved bat algorithm with artificial neural networks for classification problems
Published 2016“…Therefore, in order to improve the exploration and exploitation behavior of bats, this research proposed an improved Bat with Gaussian Distribution (BAGD) algorithm that takes small step lengths and ensures convergence to global optima. …”
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Estimation Of Weibull Parameters Using Simulated Annealing As Applied In Financial Data
Published 2023“…The finding reveals that the Weibull distribution is well-suited to describing the investment behaviour of the MPS based on the estimates via the SA algorithm. …”
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A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution
Published 2018“…A fuzzy decision-making strategy is proposed and incorporated into the Jaya algorithm as selection criteria for best and worst solutions. …”
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Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…However, decisions on block sizes and threshold selection should be made by taking into consideration the limiting distribution properties. …”
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Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…This study utilizes genetic algorithms based upon the medoid rather than the mean as a centroid-selection schema to improve the clustering efficiency. …”
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A multi-filter feature selection in detecting distributed denial-of-service attack
Published 2019“…It consists of 3-stage procedures: feature ranking, feature selection and classification. Subsequently, an experimental evaluation of the proposed Multi-Filter Feature Selection (M2FS) method is performed by using the benchmark dataset, NSL-KDD and employed the J48 classification algorithm. …”
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White root disease auto-detection system for rubber trees based on dynamic electro-biochemical latex properties / Mohd Suhaimi Sulaiman
Published 2019“…These measurement input were then went through the process of classification in ANN to generate the most optimized models by using LM and SCG algorithm. There were seven optimized models selected out of 336 models generated from the classification process. …”
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Statistical modelling of time series of counts for a new class of mixture distributions / Khoo Wooi Chen
Published 2016“…Model selection based upon the Akaike Information Criterion has been performed. …”
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A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
Published 2016“…However, by changing the distribution of both classes, the original classes distribution that are followed by that particular data will be violated. …”
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A cluster-based hybrid replica control protocol for high availability in data grid
Published 2019“…Another proposed algorithm is replica placement algorithm which selects and places only one replica in each cluster. …”
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An image-based children age range verification and classification based on facial features angle distribution and face shape elliptical ratio
Published 2017“…The classification and verification algorithm was based on face shape elliptical ratio and facial features angle distribution. …”
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Formulating the plastic deformation expression on coated substrate as a coating selection tool
Published 2017“…The verified coating selection tool can contribute to knowledge in suitable material selection for coating based 0n its performance…”
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Keyword query processing interface model of ontological natural language manipulation
Published 2010“…We preprocessed the RDF graph to be stored in distributed manner after the elimination of single chain productions in order to increase the efficiency in conversion process. …”
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Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems
Published 2005“…The second part of the thesis deals with channel parameter estimation of distributed scattering sources. Because of local scattering around the transmitter the signal waveforms appears spatially distributed at the receiver. …”
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Remote Sensing Analysis Of Recent Carbonate Platforms East Of Sabah: Potential Analogues To Miocene Carbonate Platforms Of The South China Sea
Published 2012“…The results obtained from this study were used to estimate proportions of potential reservoir facies and determine the degree of heterogeneity in facies distribution on the various platforms. The depositional facies on small platforms (I to 5 km2) are ~onsistently good potential reservoirs and are homogeneously distributed, whereas large platforms (30-50km2) are characterized by a high degree of heterogeneity in surface facies distribution and a high proportion of poor potential reservoir facies.…”
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Imaging of solid flow in a gravity flow rig using infra-red tomography
Published 2005“…Almost all currently available method of measuring the flow of two-component mixtures in industrial pipelines endeavors to average a property of the flow over the pipe cross-section. They do not give information on the nature of the flow regime and they are unsuitable for accurate measurement where the component distribution is spatially or time varying. …”
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Predictive Framework for Imbalance Dataset
Published 2012“…The existing data pre-processing and classification methodologies have been adapted in this research. Properties of the proposed framework include; developing an approach to correlate materials defects, developing an approach to represent data attributes features, analyzing various ratio and types of data re-sampling, analyzing the impact of data dimension reduction for various data size, and partitioning data size and algorithmic schemes against the prediction performance. …”
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Study Of Aerodynamic Performances Of Gliders Using Computational Fluid Dynamics Analysis
Published 2019“…The effects of wing shapes are very crucial to the aircraft aerodynamic performance (Haque et al., 2015) in terms of the lift and drag distributions along the wing span. The aerodynamic properties of a glider aircraft depend on their shape, imposing significant design constraints (Fukusato et al., 2018). …”
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Random sampling method of large-scale graph data classification
Published 2024“…After that, we randomly select a subset of data blocks, each being a random sample of the graph dataset, and compute the different graph property distributions. …”
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