Search Results - (( property distribution based algorithm ) OR ( data distribution using algorithm ))
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1
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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Thesis -
2
Development of classification model between clean water and polluted water based on capacitance properties using Levenberg Marquardt (LM) algorithm of artificial neural network / M...
Published 2020“…For both cases, the statistical analysis data show that the p-value is more than 0.05, which indicates that the data are normally distributed. …”
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Student Project -
3
Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…Generalized extreme value (GEV) distribution and generalized Pareto (GP) distribution are two main models in EV theory based on block maxima and threshold exceedances approaches. …”
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4
Poisson Transmuted Exponential Distribution For Count Data With Skewed, Dispersed And Excess Zero
Published 2024“…Different Moment-Based Mathematical Properties Of The New Proposed Distributions Are Obtained. …”
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5
A cluster-based hybrid replica control protocol for high availability in data grid
Published 2019“…In Data Grid, data replication is a widely used technique for managing data, where exact copies of data or replicas are created and stored at many distributed sites. …”
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6
A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem
Published 2016“…There are two methods in dealing with imbalanced classification problem, which are based on data or algorithmic level. Data level based methods are meant to solve the imbalanced classification problem based on the idea of making both classes equal in number. …”
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7
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…One of the main issues in genetic k-means based algorithms is their sensitivity to outliers and unevenly distributed clusters due to the mean compromised computations. …”
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Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases
Published 2021“…This study suggested to replace the classical estimators with MLw estimator due to its good properties. On the other hand, several shortcomings such as inconsistency under normal distribution, based on small sample size with large variables in high dimensions were discovered. …”
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10
Predicting the popularity of tweets using the theory of point processes.
Published 2019“…The knowledge is combined using a novel empirical Bayes type approach, where the prior distribution for the model parameter is constructed based on the external knowledge, and the likelihood is calculated based on the internal knowledge. …”
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UMK Etheses -
11
Geometric feature descriptor and dissimilarity-based registration of remotely sensed imagery
Published 2024journal::journal article -
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Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules
Published 2023“…The second algorithm uses K Nearest Neighbour using a ratio of training data and testing data of 95:05 resulting in an accuracy value of 62%. …”
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13
Just Queuing: Policy-Based Scheduling Mechanism for Packet Switching Networks
Published 2011“…The proposed mechanism is validated by using the emulation and the validation experiments involve real router flow data. …”
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14
Load-Balancing Models for Scheduling Divisible Load on Large Scale Data Grids
Published 2009“…In many data grid applications, data can be decomposed into multiple independent sub datasets and distributed for parallel execution. …”
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15
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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16
White root disease auto-detection system for rubber trees based on dynamic electro-biochemical latex properties / Mohd Suhaimi Sulaiman
Published 2019“…All of the measurement inputs from the experiment were tested for the data distribution and discrimination between the conditions of the latex using statistical analysis. …”
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17
The Rise of Blockchain Internet of Things (BIoT): Secured, Device-to-Device Architecture and Simulation Scenarios
Published 2022“…To encrypt the elliptical curve cryptographic (ECC) and to generate keys, the Chinese remainder theorem (CRT)-based scheme is proposed and compared with the secure hash algorithm (SHA-256). …”
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Article -
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Multi-objective flow measurement in software defined networks (SDN) for datacenter / Hamid Tahaei
Published 2018“…The verification of both experiments is made with current state-of-the-art algorithms. To validate the simulation results, an available dataset from a public datacentre was used. …”
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19
Software agent as an effective tool for managing the Internet of thing data complexity
Published 2017“…Software agent-based middleware in IoT can facilitate injection and distribution through the network using mobile agents, allowing the tool to manage very large data. …”
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Conference or Workshop Item -
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Rockfall hazard assessment based on airborne laser scanning data and GIS in tropical region
Published 2016“…An airborne laser scanner (ALS) was used to gather high-density data point (3-4 pts/m²). …”
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