Search Results - (( java application mining algorithm ) OR ( parameter solution via 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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On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms
Published 2009“…The heating and soaking furnaces of the steel annealing line form the two-stage hybrid systems. Three algorithms including particle swarm optimisation (PSO) with globally and locally tuned parameters (GLBest PSO), a parameter free PSO algorithm (pf-PSO) and a PSO-like algorithm via extrapolated PSO (ePSO) are considered to solve this optimal control problem for the two-stage steel annealing processes (SAP). …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Kinetic Parameter Estimation in Alkylation of Benzene with 1-Decene through Hybrid Particle Swarm Optimization
Published 2012“…Afterwards, the solution obtained using PSO algorithm is given as initial guesses to the Levenberg–Marquardt algorithm to determine the improved optimal solution. …”
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Final Year Project -
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Sensitivity analysis on the model input parameters of flapping wing kinematics for optimum level flight via particle swarming optimization
Published 2018“…First, sensitivity screening analyses are performed to gauge the dependability of the solution output, i.e. total force and total power, on each model input parameter; a total of 9 model input parameters. …”
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TUNING A THREE-PHASE SEPARATOR LEVEL CONTROLLER VIA PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM
Published 2013“…Tuning of the Three-Phase Separator via PSO could prove to be an effective solution for Oil & Gas industries.…”
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Final Year Project -
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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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Artificial neural networks based optimization techniques: A review
Published 2023“…This paper emphasizes enhancing the neural network via optimization algorithms by manipulating its tuned parameters or training parameters to obtain the best structure network pattern to dissolve the problems in the best way. …”
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Numerical simulations of agent navigation via half-sweep modified two-parameter over-relaxation (HSMTOR)
Published 2021“…Thus, this study attempts to solve the route navigational problem iteratively via a numerical method. A new method called Half-Sweep Modified Two-Parameter Over-Relaxation (HSMTOR) is used to solve the navigational problems. …”
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Proceedings -
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Tuning A Three-Phase Separator Level Controller via Particle Swarm OptimizationAlgorithm
Published 2019“…Tuning of the Three-Phase Separator via PSO could prove to be an effective solution for Oil Gas industries. …”
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Conference or Workshop Item -
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Dual solutions of MHD stagnation slip flow past a permeable plate
Published 2021“…Dual solutions have been identified when suction is implied.…”
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Article -
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Fuzzy adaptive emperor penguin optimizer for global optimization problems
Published 2023“…As the name suggests, FAEPO can adaptively tune the parameters f and l throughout the search based on three measures (i.e., quality, success rate, and diversity of the current search) via fuzzy decisions. …”
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Thesis -
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Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy
Published 2024“…The evaluation process employs the Hypervolume (HV) indicator and Inverted Generational Distance (IGD) to scrutinize solution efficacy and coverage. The HM emerges as a dominant strategy, driven by the Multi-Objective Differential Evolution (MODE) algorithm under literature-based control parameter settings for the mathematical model. …”
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