Search Results - (( variable affecting implementation algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Image Based Congestion Detection Algorithms And Its Real Time Implementation
Published 2015“…The methodology includes vehicle detection by using backlight pairing feature algorithm and modified Watershed algorithm. The results returned by the algorithms are transmitted and received wirelessly using the SFFSDR platform, including the use of RF, FPGA, and DSP modules for variable distances. …”
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Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
Published 2017“…The new adaptive algorithm is called dynamic quaternion least mean square algorithm (DQLMS) because of the normalization process of the filter input and the variable step-size. …”
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Solving large-scale problems using multi-swarm particle swarm approach
Published 2018“…The proposed approach strived to scale up the application of the (PSO) algorithm towards solving large-scale optimization tasks of up to 1000 real-valued variables. …”
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A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST
Published 2010“…In order to verify the proposed algorithm as a solution to STLF problem, its performance is compared with other AR-based algorithms, like Burg and the seasonal Box-Jenkins ARIMA (SARIMA). …”
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Effective use of artificial intelligence by Malaysian manufacturing firms to enable sustainability 4.0
Published 2023“…The purpose is to interpret the implementation of businessanalytic ultimately affects the overall performance of the organization. and creatingafeasible framework. …”
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Final Year Project / Dissertation / Thesis -
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…There was not enough information available on the implementation of neural networks and genetic algorithm for the prediction and selecting input variables in oil palm yield and output energy. …”
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Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
Published 2020“…However, its precision affected by numerous factors like data set type, spatial resolution, number of variables, etc. …”
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Adapting perturbation voltage for variable speed micro-hydro using particle swarm optimization (PSO)
Published 2022“…Results show that the value of perturbation speed affects the performance of MPPT algorithm to search the maximum operating point. …”
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Proceedings -
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Effects of strategic leadership, organizational innovativeness, information technology capability on effective strategy implementation
Published 2017“…Therefore, significant positive effects of SL, OI and ITC suggest that the variables are important in facilitating ESI. As such, public tertiary institutions should be encouraged to demonstrate these behaviours for enhanced success of organizational strategy implementation. …”
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Thesis -
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Empirical analysis and optimization suggestions of Peking Opera audience's use intention of Kuaishou app
“…The analysis of the mediating mechanism indicates that usage attitude has a significant mediating effect in the paths where effort expectancy and facilitating conditions influence usage intention, while satisfaction shows an obvious mediating effect in the paths where platform characteristics and cultural identity affect usage intention. The test of the moderating effect finds that Peking Opera exposure experience produces a significant moderating effect in all paths where independent variables influence usage intention, while age only exerts a specific moderating effect in the paths of effort expectancy and algorithm recommendation on usage intention. …”
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Article -
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Error concealment technique using wavelet neural network for wireless transmitted digital images
Published 2012“…In the case, where the missing regions of pixels are containing textures, edges, and other image features that are not easily handled by concealment algorithms. It therefore, necessitated to use denoising rather than EC algorithms. …”
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