Search Results - (( java application mining algorithm ) OR ( change implementation models algorithm ))
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Direct approach for mining association rules from structured XML data
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Thesis -
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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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Utilization of canny and velocity bunching algorithms for modelling shoreline change
Published 2006“…There is significant relationship between shoreline change rate estimated using Canny algorithm and ones modeled using velocity bunching model. …”
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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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Thesis -
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IMPLEMENTATION OF NOISE CANCELLATION WITH HARDWARE DESCRIPTION LANGUAGE
Published 2006“…Finally the adaptive algorithm is added to the filter, and implemented in the FPGA. …”
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Final Year Project -
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Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems
Published 2012“…To solve the model, an algorithm based on Simulated Annealing (SA) is developed in C/C++ namely SA1. …”
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Thesis -
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Application of artificial neural network genetic algorithm in inferential estimation and control of a distillation column
Published 2005“…When implemented on-line, GA-based ANN model was proved to be more efficient. …”
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Investigation of binary search algorithm as maximum power point tracking technique in Solar PV System
Published 2018“…The BSA MPPT model, together with a well-established particle swarm optimization (PSO) algorithm were developed and implemented with a DC-DC boost converter in MATLAB Simulink. …”
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Article -
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Adaptable algorithms for performance optimization of dynamic batch manufacturing processes
Published 2018“…The dynamic changes causing the need of dynamic modelling for a better dynamic optimization will be catered via a specifically formulated fitness function. …”
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Thesis -
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Bayesian Network Classifiers for Damage Detection in Engineering Material
Published 2007“…The methodology used in the thesis to implement the Bayesian network for the damage detection provides a preliminary analysis used in proposing a novel fea- ture extraction algorithm (f-FFE: the f-folds feature extraction algorithm). …”
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Thesis -
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Modeling dynamic weight for 3D navigation routing
Published 2007“…The second part presents the 3D dynamic network model and elaborates on the possible solution using SSSP routing algorithm and its implementation. …”
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Conference or Workshop Item -
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Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
Published 2017“…The DQLMS algorithm is extended to the widely linear model forming the WL-DQLMS algorithm in order for the algorithm to be able to capture the full second order statistics. …”
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Thesis -
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Implementation of an inverse-model-based control strategy using neural networks on a partially simulated exothermic reactor
Published 2000“…The implementation involved the control of the reactor temperature in the face of set point changes and load disturbances despite the existence of significant plant/model mismatch. …”
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Design optimization of valve timing at various engine speeds using Multi-Objective Genetic Algorithm (MOGA)
Published 2008“…In preprocessing of optimization, modeFrontier Response Surface Method (RSM) is able to model the behavior of engine performances corresponding to the change of design variables.…”
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Proceeding Paper
