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  1. 1
    Improvement and application of particle swarm optimization algorithm

    Improvement and application of particle swarm optimization algorithm by Deevi, Durga Praveen, Kodadi, Sharadha, Allur, Naga Sushma, Dondapati, Koteswararao, Chetlapalli, Himabindu, Perumal, Thinagaran

    Published 2025
    “…An ideal assignment technique assigns new duties to each functioning robot, followed by evolutionary algorithms and Particle Swarm Optimization (PSO) to design pathways to the reconfigured positions. …”
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  2. 2
    A modified flower pollination algorithm and carnivorous plant algorithm for solving engineering optimization problem

    A modified flower pollination algorithm and carnivorous plant algorithm for solving engineering optimization problem by Ong, Kok Meng

    Published 2021
    “…Their convergence characteristic and computational efficiency were analysed and compared with eight widely used metaheuristic algorithms, with the superiority validated using the Wilcoxon signed-rank test. …”
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  3. 3
    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems

    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

    Published 2011
    “…Instead of solving the original optimal control problem, the model-based optimal control problem is solved. The algorithm developed in this thesis contains three sub-algorithms. …”
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  4. 4
    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering

    Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering by He, Yanfang

    Published 2024
    “…To address the noise problem in multi-view data, this study enhances the gbs method and develops a new self-weighted graph multi-view clustering algorithm (swmcan). …”
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  5. 5
    Non-dominated sorting manta ray foraging algorithm with an application to optimize PD control

    Non-dominated sorting manta ray foraging algorithm with an application to optimize PD control by Abdul Razak, Ahmad Azwan, Nasir, Ahmad Nor Kasruddin, Abd Ghani, N. M., Mohammad, Shuhairie, Mat Jusof, Mohd Falfazli, Mhd Rizal, Nurul Amira

    Published 2022
    “…This paper presents a multi-objective (MO) version of Manta Ray Foraging Algorithm (MRFO) by using components in Non-Dominated Sorting Genetic Algorithm (NSGAII). …”
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  6. 6
    A Descent Three-Term Conjugate Gradient Direction For Problems Of Unconstrained Optimization With Application

    A Descent Three-Term Conjugate Gradient Direction For Problems Of Unconstrained Optimization With Application by Sulaiman M. Ibrahim, Nur Idalisa, Norhaslinda Zullpakka, P. Kaelo, Norrlaili Shapiee

    Published 2026
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  7. 7
    A Toolkit for Simulation of Desktop Grid Environment

    A Toolkit for Simulation of Desktop Grid Environment by FOROUSHAN, PAYAM CHINI

    Published 2014
    “…The selected methodology for the application development is based on prototyping methodology. …”
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  8. 8
    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing

    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing by Wei , Yaxing

    Published 2024
    “…The firefly algorithm remains a feasible alternative for shallow architectural network models, while metaheuristic algorithms such as the Particle swarm algorithm and Bat algorithm are better options for deeper architectural network models. …”
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  9. 9
    Implementation and Optimization of Human Tracking System Using ARM Embedded Platform

    Implementation and Optimization of Human Tracking System Using ARM Embedded Platform by Teoh, Shen Khang, Yap, Vooi Voon, Soh, Chit Siang, Sebastian , Patrick

    Published 2012
    “…Functions and library in OpenCV which developed by Intel Corporation was utilized for building the human tracking algorithms.…”
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  10. 10
    Hybrid subjective evaluation method using weighted subsethood - based (WSBA) rule generation algorithm

    Hybrid subjective evaluation method using weighted subsethood - based (WSBA) rule generation algorithm by Othman, Mahmod, Khalid, Shaiful Annuar, Abdullah, Fader, Amir Hamzah, Shezrin Hawani, Ku-Mahamud, Ku Ruhana

    Published 2013
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  11. 11
    The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data

    The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data by Mallik, Moksud Alam, Zulkurnain, Nurul Fariza, Siddiqui, Sumrana, Sarkar, Rashel

    Published 2024
    “…A comparative study is done to validate the proposed algorithm by implementing the other contemporary algorithms for the same dataset. …”
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  12. 12
    Discrete-time system identification using genetic algorithm with single parent-based mating technique

    Discrete-time system identification using genetic algorithm with single parent-based mating technique by Zainuddin, Farah Ayiesya

    Published 2024
    “…System identifiction (SI) is a methodology for developing mathematical models of dynamic systems using measurements of input and output signals. …”
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  13. 13
    Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam

    Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam by Kh Tohidul , Islam

    Published 2017
    “…All these algorithms are tested using thousands of images. The hybrid color segmentation algorithm has eventually been chosen for this proposed system as it shows the best performance for detection of road signs. …”
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  14. 14
    Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm

    Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm by Shamshirgaran, S. Reza, Ameri, M, Khalajiassadi, Morteza, Ahmadi, M. Hossein

    Published 2016
    “…The main objective of this paper is to obtain the optimum parameters through which the CAES GT cycle can be designed effectively. The cost-benefit function as a target function has been maximized using the Genetic Algorithm. …”
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  15. 15
    A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani

    A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani by Mahmoud Reza, Saybani

    Published 2016
    “…Experimental results on real-world machine learning benchmark data sets have demonstrated the effectiveness of the proposed algorithms. …”
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  16. 16
    EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN

    EEG EYE STATE IDENTIFICATION BASED ON STATISTICAL FEATURES AND COMMON SPATIAL PATTERN by WANG, CHIA WOON

    Published 2019
    “…Hence, the proposed work aimed to analyse the EEG eye state signal as well as develop an algorithm using statistical-CSP features on the eye state identification.…”
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  17. 17
    Development of an intelligent system using Kernel-based learning methods for predicting oil-palm yield.

    Development of an intelligent system using Kernel-based learning methods for predicting oil-palm yield. by Md. Sap, Mohd. Noor, Awan, A. Majid

    Published 2005
    “…Intelligent systems based on machine learning techniques, such as classification, clustering, are gaining wide spread popularity in real world applications. …”
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  18. 18
    Logistic regression methods for classification of imbalanced data sets

    Logistic regression methods for classification of imbalanced data sets by Santi Puteri Rahayu, -

    Published 2012
    “…Hence, it is required to develop effective imbalanced LR-based methods to be widely used in data mining applications. …”
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  19. 19
    Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review

    Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review by Khan, Z., Yahya, N., Alsaih, K., Al-Hiyali, M.I., Meriaudeau, F.

    Published 2021
    “…Particular attention is given to different loss functions used for training segmentation based on deep learning techniques. …”
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  20. 20
    Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review

    Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review by Khan, Z., Yahya, N., Alsaih, K., Al-Hiyali, M.I., Meriaudeau, F.

    Published 2021
    “…Particular attention is given to different loss functions used for training segmentation based on deep learning techniques. …”
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