Search Results - (( java segmentation using algorithm ) OR ( using classical selection algorithm ))

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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares

    Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares by Uraibi, Hassan Sami

    Published 2009
    “…In this respect, we propose to incorporate our proposed DRBLTS in the bootstrap model selection technique. We also proposed to use an alternative robust location and scale estimates which are less affected by outliers instead of using the classical mean and classical standard deviation. …”
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  3. 3
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  4. 4
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  5. 5
    An Efficient Solution to Travelling Salesman Problem using Genetic Algorithm with Modified Crossover Operator

    An Efficient Solution to Travelling Salesman Problem using Genetic Algorithm with Modified Crossover Operator by Hossain, Md. Sabir, Tanim, Ahsan Sadee, Choudhury, Sadman Sakib, Hayat, S. M. Afif Ibne, M. Nomani, Kabir, Islam, Mohammad Mainul

    Published 2019
    “…The efficiency of the proposed algorithm is compared to the classical genetic algorithm. …”
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  6. 6
    Enhanced stochastic fractal search algorithm with chaos

    Enhanced stochastic fractal search algorithm with chaos by Tuan Abdul Rahman, Tuan Ahmad Zahidi, Tokhi, Mohammad Osman

    Published 2016
    “…Five different chaotic maps have been selected in this study. The influence of these chaotic maps on convergence rate and solution accuracy is investigated using several classical standard benchmark functions. …”
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  7. 7
    Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data

    Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data by Baba, Ishaq Abdullahi

    Published 2022
    “…Therefore, the robust location and covariance matrix based on the MRFCH is used instead of the classical estimators to tackle these problems. …”
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  8. 8
    Improvement of Neural Network performance by data selection using Radial Basis Function and Hybrid Multilayered Perceptron network / Ahmad Puad Ismail, Nazirah Mohamat Kasim and Saiful Zaimy Yahaya

    Improvement of Neural Network performance by data selection using Radial Basis Function and Hybrid Multilayered Perceptron network / Ahmad Puad Ismail, Nazirah Mohamat Kasim and S... by Ismail, Ahmad Puad, Mohamat Kasim, Nazirah, Yahaya, Saiful Zaimy

    Published 2008
    “…The total selected data is 156. Then 52 data is used for training phase, 52 data for the first testing phase and another 52 data for the second testing phase. …”
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  9. 9
    Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System

    Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System by Aljanabi, Mohammad, Mohd Arfian, Ismail, Mezhuyev, Vitaliy

    Published 2020
    “…Many optimisation-based intrusion detection algorithms have been developed and are widely used for intrusion identification. …”
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  10. 10
    Committee neural networks with fuzzy genetic algorithm.

    Committee neural networks with fuzzy genetic algorithm. by Jafari , S.A., Mashohor , Syamsiah, Varnamkhasti, M. Jalali

    Published 2011
    “…Finally, we use fuzzy genetic algorithm methods for combining the output of experts to predict a reservoir parameter in petroleum industry. …”
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  11. 11
    Prior selection for Gumbel distribution parameters using multiple-try metropolis algorithm for monthly maxima PM10 data

    Prior selection for Gumbel distribution parameters using multiple-try metropolis algorithm for monthly maxima PM10 data by Mohd Amin, Nor Azrita, Adam, Mohd Bakri, Ibrahim, Noor Akma

    Published 2013
    “…The main objective is to explore the accuracy of the parameter estimation to the change of priors and compare the results with a classical likelihood-based analysis. Focus is on modelling the extreme data based on block maxima approach using Gumbel distribution. …”
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  12. 12
    Neuro-fuzzy genetic algorithm

    Neuro-fuzzy genetic algorithm by Varnamkhasti, Mohammad Jalali, Lee, Lai Soon

    Published 2009
    “…Premature convergence is a classical problem in finding optimal solution in Genetic Algorithms (GAs). …”
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  13. 13
    Improved intrusion detection algorithm based on TLBO and GA algorithms

    Improved intrusion detection algorithm based on TLBO and GA algorithms by Aljanabi, Mohammad, Mohd Arfian, Ismail

    Published 2021
    “…Optimization algorithms are widely used for the identification of intrusion. …”
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  14. 14
    Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM

    Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM by Saxena N.K., Gao W.D., Kumar A., Mekhilef S., Gupta V.

    Published 2023
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  15. 15
    Feature selection via dimensionality reduction for object class recognition

    Feature selection via dimensionality reduction for object class recognition by Manshor, Noridayu, Abdul Halin, Alfian, Rajeswari, Mandava, Ramachandram, Dhanesh

    Published 2011
    “…Two filter-based algorithms are considered namely Correlation-based Feature Selection (CFS) and Principal Components Analysis (PCA). …”
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  16. 16
    Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning

    Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning by Alomoush, Alaa A., Alsewari, Abdulrahman A., Alamri, Hammoudeh S., Aloufi, Khalid, Kamal Z., Zamli

    Published 2019
    “…Most metaheuristic algorithms, including harmony search (HS), suffer from parameter selection. …”
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  17. 17
    Stock indicator scanner customization tool using deep reinforcement learning

    Stock indicator scanner customization tool using deep reinforcement learning by Cheong, Desmond YongHong

    Published 2022
    “…This indicator can then be used as the input of the predictive model. The stock indicators selected by user will be the input of DQN algorithm and act as state while the actions allowed for the DQN agent will be buy and sell. …”
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  18. 18
    Kernel and multi-class classifiers for multi-floor wlan localisation

    Kernel and multi-class classifiers for multi-floor wlan localisation by Abd Rahman, Mohd Amiruddin

    Published 2016
    “…For fingerprint database optimisation, novel access point (AP) selection algorithms which are based on variant AP selection are investigated to improve computational accuracy compared to existing AP selection algorithms such as Max-Mean and InfoGain. …”
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  19. 19
    Improved stochastic gradient descent algorithm with mean-gradient adaptive stepsize for solving large-scale optimization problems

    Improved stochastic gradient descent algorithm with mean-gradient adaptive stepsize for solving large-scale optimization problems by Zulkifli, Munierah, Abd Rahmin, Nor Aliza, Wah, June Leong

    Published 2023
    “…It utilizes the concept of classical gradient descent method with modification on the gradient selection. …”
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  20. 20
    Extreme air pollutant data analysis using classical and Bayesian approaches

    Extreme air pollutant data analysis using classical and Bayesian approaches by Mohd Amin, Nor Azrita

    Published 2015
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