Search Results - (( developing multimodal optimization algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Modified multi verse optimizer for solving optimization problems using benchmark functions
Published 2020“…The hybrid version of multi-verse optimizer (MVO) namely the modified multi-verse optimizer (mMVO) is developed in this paper by modifying the position updating equation of MVO. …”
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Modified multi-verse optimizer for solving numerical optimization problems
Published 2020“…The hybrid version of a multi-verse optimizer (MVO) namely the modified multi-verse optimizer (mMVO) is developed in this paper by modifying the position updating equation of MVO. …”
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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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Levy slime mould algorithm for solving numerical and engineering optimization problems
Published 2022“…The SMA is a newly developed metaheuristic algorithm that is inspired by the slime moulds natural oscillation mode. …”
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The design and applications of the african buffalo algorithm for general optimization problems
Published 2017“…Some of the successfully designed stochastic algorithms include Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Particle Swarm Optimization, Bee Colony Optimization, Artificial Bee Colony Optimization, Firefly Optimization etc. …”
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Thesis -
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Development Of Artificial Bee Colony (Abc) Variants And Memetic Optimization Algorithms
Published 2017“…One of BIAs, artificial bee colony (ABC) optimization algorithm, has shown excellent performance in many applications compared to other optimization algorithms. …”
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Quantum-based analytical techniques on the tackling of well placement optimization
Published 2020“…The high dimensional, multimodal, and discontinuous well placement optimization is one of the main difficult factors in the development process of conventional as well as shale gas reservoir, and to optimize this problem, metaheuristic techniques still suffer from premature convergence. …”
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A Surrogate Assisted Quantum-Behaved Algorithm for Well Placement Optimization
Published 2022“…Various traditional and non-traditional optimization algorithms have been developed to resolve these difficulties. …”
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Quantum-based analytical techniques on the tackling of well placement optimization
Published 2020“…The high dimensional, multimodal, and discontinuous well placement optimization is one of the main difficult factors in the development process of conventional as well as shale gas reservoir, and to optimize this problem, metaheuristic techniques still suffer from premature convergence. …”
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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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Development of biosignals-based multimodal biometric system
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Radar - Acoustic Vehicle Classification System based on shallow Convolutional Neural Network
Published 2025“…This study addresses these challenges by developing a multimodal shallow Convolutional Neural Network (SCNN) that integrates radar and acoustic sensors, exploiting their complementary strengths. …”
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Optimal reactive power dispatch using multistage artificial immune system
Published 2023“…Non-convex, non-linear, and multimodal problems make the development of intelligent algorithms to solve the reactive power dispatch problem highly relevant. …”
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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 intelligent based damping controller optimization for the multimachine power system: a review
Published 2018“…However, damping controller development is a constraint-based multimodal optimization problem, which is relatively difficult to resolve utilizing conventional optimization algorithms. …”
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