Search Results - (( java implementation learning algorithm ) OR ( using complex flow algorithm ))
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1
Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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2
Optimize the maximum flow of electricity capacity using Ford Fulkerson, Edmonds Karp and Goldberg Tarjan algorithm / Nik Nur Diyana Nik Mohd Huzaidi
Published 2024“…The main goals are to study these algorithms for maximum electricity flow, implement them to find the best flow in electricity transmission, and optimize the flow using these methods. …”
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3
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…Implemented with Java, this tool provides a friendly GUI for setting the parameters and display the result from where the learner can see how the selected algorithm converges for a particular problem solution. …”
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4
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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5
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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6
Transmission loss and load flow allocations via genetic algorithm technique
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7
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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8
Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources
Published 2021“…In this research, a novel algorithm (Herschel Bulkley Network) is introduced to simulate the non-Newtonian fluid flow in a pipe using data redundant deep neural network (DNN) for fully developed, laminar, and incompressible flow conditions. …”
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Reduced Galloping Column Algorithm For Memory Testing
Published 2015“…There are lots of memory algorithms used for memory testing, including the galloping column algorithm (GalCol). …”
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10
Optimal placement and sizing of FACTS devices for optimal power flow using metaheuristic optimizers
Published 2022“…OPF is one of the well-known problems in power system operations and with the inclusion of the FACTS devices allocation problems into OPF will make the solution more complex. Thus, seven metaheuristic algorithms: Barnacles Mating Optimizer (BMO), Marine Predators Algorithm (MPA), Moth–Flame Optimization (MFO), Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), Teaching–Learning-Based Optimization (TLBO) and Heap-Based Optimizer (HBO) are used to solve two objective functions: power loss and cost minimizations. …”
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The Use of Artificial Neural Networks and Genetic Algorithms for Effectively Optimizing Production from Multiphase Flow Wells
Published 2010“…The need for accurate prediction of these parameters is a key factor in clearly understanding multiphase flow in tubing. Prediction of pressure drop in multiphase flow is quite difficult and complicated due to the complex relationships between the various parameters involved. …”
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Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers
Published 2021“…Optimal power flow (OPF) is one of the complex problems in power system operation that includes multi-modal, large-scale, non-convex and non-linear constrained optimization problems. …”
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13
Improving throughput of TCP flows by utilizing TCP-aware backpressure scheduling
Published 2023“…Backpressure algorithm is one of the techniques that can be used to achieve the maximum network throughput policies in wireless environments by routing the traffic over a multi-hop network dynamically using congestion gradient that directing the traffic around a queuing network. …”
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14
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. …”
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15
A trade-off criterion for bi-objective problem in solving hybrid flow shop scheduling with energy efficient (EE-HFS) using multi-objective dragonfly algorithm (MODA)
Published 2024“…The (EE-HFS) optimization has been carried out using the Multi-Objective Dragonfly Algorithm (MODA). …”
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16
An optical flow measurement technique based on continuous wavelet transform
Published 2018“…Flow measurement underwater oil leak is a challenging problem, due to the complex nature of flow dynamics. …”
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17
An optical flow measurement technique based on continuous wavelet transform
Published 2018“…Flow measurement underwater oil leak is a challenging problem, due to the complex nature of flow dynamics. …”
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18
Optimal power flow using hybrid firefly and particle swarm optimization algorithm
Published 2020“…In this paper, a novel, effective meta-heuristic, population-based Hybrid Firefly Particle Swarm Optimization (HFPSO) algorithm is applied to solve different non-linear and convex optimal power flow (OPF) problems. …”
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19
A novel Tiki-Taka algorithm to optimize hybrid flow shop scheduling with energy consumption
Published 2022“…This paper modeled and optimized HFS with energy consumption using Tiki-Taka Algorithm (TTA). TTA is a novel algorithm inspired by football playing style that focuses on short passing and player positioning. …”
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20
Hybrid flow shop scheduling problem with energy utilization using non-dominated sorting genetic algorithm-III (NSGA-III) optimization
Published 2023“…In the future, these multi-objective algorithms’ potential can be further investigated for hybrid flow shop scheduling problems.…”
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