Search Results - (( developing multimodal optimization algorithm ) OR ( java implementation mining algorithm ))
Search alternatives:
- multimodal optimization »
- developing multimodal »
- implementation mining »
- java implementation »
- mining algorithm »
-
1
Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
Get full text
Get full text
Thesis -
2
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
Get full text
Get full text
Get full text
Article -
3
Scalable approach for mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
Get full text
Get full text
Conference or Workshop Item -
4
Mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
Get full text
Get full text
Conference or Workshop Item -
5
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. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
6
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. …”
Get full text
Get full text
Conference or Workshop Item -
7
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. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
8
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. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
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. …”
Get full text
Get full text
Thesis -
10
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. …”
Get full text
Get full text
Thesis -
11
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. …”
Get full text
Get full text
Article -
12
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. …”
Get full text
Get full text
Article -
13
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. …”
Get full text
Get full text
Article -
14
Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
15
Development of biosignals-based multimodal biometric system
Published 2014Get full text
Get full text
Get full text
Thesis -
16
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
Get full text
Get full text
Thesis -
17
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. …”
Get full text
Get full text
Thesis -
18
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. …”
Article -
19
-
20
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. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article
