Search Results - (( java adaptation optimization algorithm ) OR ( using complex selection algorithm ))

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    Efficient genetic partitioning-around-medoid algorithm for clustering by Garib, Sarmad Makki Mohammed

    Published 2019
    “…Adopting the medoid instead of the mean can enhance the efficiency. However, the complexity of the kmedoid based algorithms in general is more than the complexity of the k-means based algorithms. …”
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    Thesis
  3. 3

    An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization by Mizher, Manar Abduljabbar Ahmad, Ang, Mei Choo, Sheikh Abdullah, Siti Norul Huda, Kok, Weng Ng

    Published 2019
    “…The threshold adaptation was achieved by using the mean value, the standard deviation, and the L1-norm instead of the comparison of user summaries evaluation method to obtain a fully automatic video summarisation algorithm, and by eliminating the conditions in selecting the final key frames to reduce the complexity of the algorithm. …”
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    Article
  4. 4

    Development of low power viterbi decoder on complex programmable logic device platform by Abu, Mohd Azlan

    Published 2018
    “…Consequently, the number of logic gates and the total power consumption of the STTC Viterbi decoder can be reduced by using the new algorithms. The proposed algorithms have been designed and implemented by using MATLAB, Altera Quartus 2 and Altera MAX V CPLD board. …”
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    Thesis
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    Nonlinear auto-regressive model structure selection using binary particle swarm optimization algorithm / Ahmad Ihsan Mohd Yassin by Mohd Yassin, Ahmad Ihsan

    Published 2014
    “…The identification process of NARX/NARMA/NARMAX involves structure selection and parameter estimation, which can be simultaneously performed using the widely accepted Orthogonal Least Squares (OLS) algorithm. …”
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    Thesis
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    Comparison study of sorting techniques in dynamic data structure by Abbas, Zeyad Adnan

    Published 2016
    “…The fastest algorithm is then determined by the estimated value for each sorting algorithm, which is computed using linear least square regression. …”
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    Thesis
  7. 7

    Comparison study of sorting techniques in dynamic data structure by Abbas, Zeyad Adnan

    Published 2016
    “…The fastest algorithm is then determined by the estimated value for each sorting algorithm, which is computed using linear least square regression. …”
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    Thesis
  8. 8

    An improved artificial immune system based on antibody remainder method for mathematical function optimization by Yap D.F.W., Habibullah A., Koh S.P., Tiong S.K.

    Published 2023
    “…Alternatively, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been used efficiently in solving complex optimization problems, but they have a tendency to converge prematurely. …”
    Conference paper
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    Damageless Digital Watermarking Using Complex-valued Artificial Neural Network by Olanweraju, Rashidah Funke

    Published 2010
    “…The complex values form the input data of the Complex Back-Propagation (CBP) algorithm. …”
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    Article
  10. 10

    Multi-Objective Optimization For High Recyclability Material Selection Using Genetic Algorithm by Sakundarini, Novita, Zahari, Taha, Salwa Hanim, Abdul-Rashid, Raja Ariffin, Raja Ghazilla, Gonzales, Julirose

    Published 2013
    “…In this paper, the use of a genetic algorithm is proposed to optimize the multi-objective problem in the selection of recyclable materials. …”
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    Article
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    Performance of MIMO space-time coded system and training based channel estimation for MIMO-OFDM system by Abdolee, Reza

    Published 2006
    “…A complexity comparison between two algorithms has been made in terms of number of mathematical operation. …”
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    Thesis
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    Daily rainfall prediction using clonal selection algorithm by Noor Rodi, Nur Syazwani, Ismail , Amelia Ritahani, Abdul Malik, Marlinda

    Published 2012
    “…The common use of Clonal Selection Algorithm is to randomly generate the antibodies in the population. …”
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    Proceeding Paper
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    Metaheuristic algorithms for feature selection (2014–2024) by Faizan, Muhammad, Muhammad Arif, Mohamad

    Published 2025
    “…Feature selection is a process used during machine learning and data analysis, aimed at selecting the best features to increase model efficiency, decrease complexity, and increase readability. …”
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    Article
  15. 15

    Adaptive Line Enhancer with Selectable Algorithms based on Noise Eigenvalue Spread by Roshahliza, M. Ramli, Noor, Ali O. Abid, Salina, Abdul Samad

    Published 2016
    “…The simulation results showed the capability of proposed algorithm to eliminate different types of environmental noise with fast convergence, reduction in computational complexity and improvement in signal-to-noise ratio when compared with an equivalent system using a single adaptive algorithm. …”
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    Conference or Workshop Item
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    A New And Fast Rival Genetic Algorithm For Feature Selection by Too, Jing Wei, Abdullah, Abdul Rahim

    Published 2021
    “…The genetic algorithm (GA) as a fundamental optimization tool has been widely used in feature selection tasks. …”
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    Article
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    Fuzzy Rules Optimization in Fuzzy Expert System for Machinability Data Selection: Genetic Algorithms Approach by Wong, Shaw Voon, Salem Hamouda, Abdel Magid

    Published 2001
    “…Machinability data selection is complex and cannot be easily formulated by any mathematical model to meet design specification. …”
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    Article
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    SURE-Autometrics algorithm for model selection in multiple equations by Norhayati, Yusof

    Published 2016
    “…The SURE-Autometrics is also validated using two sets of real data by comparing the forecast error measures with five model selection algorithms and three non-algorithm procedures. …”
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    Thesis
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    Artificial immune system based on hybrid and external memory for mathematical function optimization by Yap D.F.W., Koh S.P., Tiong S.K.

    Published 2023
    “…Alternatively, Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been used efficiently in solving complex optimization problems, but they have a tendency to converge prematurely. …”
    Conference Paper