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Some families of count distributions for modelling zero-inflation and dispersion / Low Yeh Ching
Published 2016“…A popular distribution for the modelling of discrete count data is the Poisson distribution. …”
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Predictive Framework for Imbalance Dataset
Published 2012“…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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Skyline queries on data with uncertain dimensions for efficient computation
Published 2018“…Several independent variables which are scalability, threshold, data distributions, and dimensionality are selected to determine their effects on two dependent variables. …”
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Transformer asset management based on Markov Prediction Model utilizing health index
Published 2019“…Further, the future performance condition curve of the transformers was determined based on the Markov chain algorithm. A statistical analysis was carried out to test the performance of MPM on the HI data. …”
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Robust Kernel Density Function Estimation
Published 2010“…The distance of observations from the center of data set is incorporated in the formulation of the first outlier detection method in unimodal distribution. …”
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Enhanced replication strategy with balanced quorum technique and data center selection method in cloud environment
Published 2022“…In order to store these huge volumes with heterogenous data categories, cloud computing became the mainstream solution to provide multiple services to keep safe, process and distribute the data. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…These results indi�cate that the proposed method can improve the RAN learning algorithm towards the large-scale stream data processing. …”
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Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS
Published 2019“…The proposed BANN model achieved the best training accuracies of (95%) and best prediction accuracies of (92%) based on testing data compared to other employed methods. …”
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Statistical selection algorithm for peer-to-peer system
Published 2008“…However, this algorithm has a high probability of failure. A few improvements have been done to this original algorithm. …”
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The Distribution Network Reconfiguration Improved Performance of Genetic Algorithm Considering Power Losses and Voltage Profile
Published 2014“…The SIGA algorithm was embodied throughout the process in IEEE 33-bus distribution system in selection of five tie switches. …”
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Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…VRP in which demand at each location is unknown at the time when the route is designed but is follow a known probability distribution, is known as VRP with Stochastic Demands (VRPSD). …”
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Monograph -
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NSGA-III algorithm for optimizing robot collaborative task allocation in the internet of things environment
Published 2024“…The experiment verified that this strategy can approach the optimal solution more closely during the population convergence process, and compared it with traditional Multi TSP algorithms and single function multi-objective Multi TSP algorithms. …”
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Improvement and performance analysis on statistical selection algorithms
Published 2006“…However, this algorithm has a high probability of failure. A few improvements have been done to this original algorithm. …”
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Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour
Published 2022“…Meanwhile, k-NN algorithm is used to classify the experimental data. …”
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Proceeding Paper -
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Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…All the data for 18-bus system test are taken from previous work, and all the data for 49-bus system test are taken from an existing Iraqi distribution network. …”
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Optimal search algorithm in a big database using interpolation–extrapolation method
Published 2019“…Search using traditional binary-search algorithm can be accelerated by employing an interpolation search technique when the data is regularly distributed. …”
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Confidence intervals (CI) for concentration parameter in von Mises distribution and analysis of missing values for circular data / Siti Fatimah binti Hassan
Published 2015“…In this study, three imputation methods are considered namely expectation-maximization (EM) algorithm and data augmentation (DA) algorithm. …”
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An improvement on the valiantbrebner hypercube data broadcasting technique / Nasaruddin Zenon
Published 1990“…The writer tries to improve this algorithm because it is the only known algorithm for the hypercube machine that has the probability of more than i (log n) processors will simultaneously try to transmit a message through a given processor decreases exponentially with i. …”
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