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  1. 1
    A Navigation Strategy for Swarm Robotics Based on Bat Algorithm Optimization Technique

    A Navigation Strategy for Swarm Robotics Based on Bat Algorithm Optimization Technique by Nur Aisyah Syafinaz, Suarin, Pebrianti, Dwi, Bayuaji, Luhur, Muhammad, Syafrullah, Zulkifli, Musa

    Published 2018
    “…This paper aims to adapt Bat Algorithm (BA) optimization techniques to the swarm robotics system. …”
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  2. 2
    Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation

    Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation by Premkumar M., Ravichandran S., Hashim T.J.T., Sin T.C., Abbassi R.

    Published 2025
    “…This study introduces a new approach for parameter optimization in the four-diode photovoltaic (PV) model, employing a Dynamic Fitness-Guided Particle Swarm Optimization (DFGPSO) algorithm and Enhanced Newton-Raphson (ENR) method. …”
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  3. 3
    Modelling of multi-robot system for search and rescue

    Modelling of multi-robot system for search and rescue by Poy, Yi Ler

    Published 2023
    “…This report focusses on developing a novel multi-robot path planning algorithm based on the Modified Particles Swarm Optimization (MPSO) algorithm for dynamic environments. …”
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  4. 4
    Adaptive route optimization for mobile robot navigation using evolutionary algorithm

    Adaptive route optimization for mobile robot navigation using evolutionary algorithm by Kit Guan Lim, Guan Lim, Yoong Hean Lee, Hean Lee, Min Keng Tan, Keng Tan, Hou, Pin Yoong, Tienlei, Wang, Tze, Kenneth Kin Teo

    Published 2021
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  5. 5
    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy

    Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy by Prakas Gopal , Samy

    Published 2024
    “…Advancing multi-objective optimization techniques for cancer treatment strategies, the study strategically incorporates Swarm Intelligence (SI) and Evolutionary Algorithms (EA). …”
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  6. 6
    Chiller energy prediction in commercial building : A metaheuristic-enhanced deep learning approach

    Chiller energy prediction in commercial building : A metaheuristic-enhanced deep learning approach by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

    Published 2024
    “…TLBO's adept navigation of the intricate parameter space of DL yields highly precise predictions for chiller energy consumption. …”
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  7. 7
    A case study of microarray breast cancer classification using machine learning algorithms with grid search cross validation

    A case study of microarray breast cancer classification using machine learning algorithms with grid search cross validation by Mohd Ali, Nursabillilah, Besar, Rosli, Ab Aziz, Nor Azlina

    Published 2023
    “…Grid search cross validation (CV) is applied for hyperparameter tuning of the algorithms. …”
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  8. 8
    Phylogenetic tree classification system using machine learning algorithm

    Phylogenetic tree classification system using machine learning algorithm by Tan, Jia Kae

    Published 2015
    “…In addition to that, 10-fold cross-validation is also conducted in the evaluation. …”
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  9. 9
    Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm

    Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm by Molamohamadi, Zohreh

    Published 2015
    “…A hybrid metaheuristic algorithm which combines Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm, is then developed to solve the established models. …”
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  10. 10
    Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi

    Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi by Rahimi, Ahmad Faris

    Published 2017
    “…In the implementation phase, Bubble Sort, Euclidean Distance, 10-Fold Cross validation, and K Nearest Neighbor algorithm are developed. …”
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  11. 11
    Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin

    Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin by Pisal, Nurul Shahira, Abdul Rahman, Shuzlina, Hanafiah, Mastura, Kamarudin, Saidatul Izyanie

    Published 2022
    “…This study presents machine learning algorithms for life expectancy based on the Asian population dataset. …”
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  12. 12
    Regression study for thyroid disease prediction Comparison of crossing-over approaches and multivariate analysis

    Regression study for thyroid disease prediction Comparison of crossing-over approaches and multivariate analysis by Ong, Song Quan, Pradeep Isawasan, Khairulliza Ahmad Salleh

    Published 2022
    “…For the multivariate analysis, we found that the number of variable is not the key element to determine the performance of a model, rather than a suitable combination of strong predictors. Future studies could explore the effects of cross-validation and multivariate analysis on other machine learning algorithms.…”
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  13. 13
    A comparative study of the classification of skin burn depth in human

    A comparative study of the classification of skin burn depth in human by Kuan, Pei Nei, Li, Stephanie Chua Hui, Ehfa, binti Bujang Safawi, Wang, Hui Hui, Tiong, Wei King

    Published 2017
    “…The dataset was evaluated using both a supplied test set and 10-fold cross validation methods. Empirical results showed that the best classification algorithms that were able to classify most of the burn depths using a supplied test set were Logistic, Simple Logistic, MultiClassClassifier, OneR, and LMT, with an average accuracy of 68.9% whereas for 10-fold cross validation evaluation, the best result was obtained through the Simple Logistic algorithm with an average accuracy of 73.2%. …”
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  14. 14
    A Comparison Study On Pca_Modular Pca And Lda For Face Recognition

    A Comparison Study On Pca_Modular Pca And Lda For Face Recognition by Cheah, Boon Wah

    Published 2017
    “…The performance of these face recognition algorithms will be evaluated by 10-fold cross validation using ORL database. …”
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  15. 15
    Validation assessments on resampling method in imbalanced binary classification for linear discriminant analysis

    Validation assessments on resampling method in imbalanced binary classification for linear discriminant analysis by Jamaluddin, Ahmad Hakiim, Mahat, Nor Idayu

    Published 2021
    “…This manuscript attempted to shed more light on the effect of a resampling method (ROS or RUS) on the performance of LDA based on true positive rate and true negative rate through five validation strategies, i.e. leave-one-out cross-validation, k-fold cross-validation, repeated k-fold cross-validation, naive bootstrap, and .632+ bootstrap. 100 twogroup bivariate normally distributed simulated and four real data sets with severe class imbalance ratio were utilised. …”
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  16. 16
    Validation assessments on Resampling Method in Imbalanced Binary Classification for Linear Discriminant Analysis

    Validation assessments on Resampling Method in Imbalanced Binary Classification for Linear Discriminant Analysis by Jamaluddin, Ahmad Hakiim, Mahat, Nor Idayu

    Published 2021
    “…This manuscript attempted to shed more light on the effect of a resampling method (ROS or RUS) on the performance of LDA based on true positive rate and true negative rate through five validation strategies, i.e. leave-one-out cross-validation, k-fold cross-validation, repeated k-fold cross-validation, naive bootstrap, and .632+ bootstrap. 100 two-group bivariate normally distributed simulated and four real data sets with severe class imbalance ratio were utilised. …”
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  17. 17
    Development of a syncope classification algorithm from physiological signals acquired in tilt-table test

    Development of a syncope classification algorithm from physiological signals acquired in tilt-table test by Gan, Ming Hong

    Published 2023
    “…Additionally, stratified 5-fold cross-validation was performed to evaluate the performance of proposed model. …”
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  18. 18
    A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data

    A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data by Yeo, Lee Chin, Deris, Safaai

    Published 2005
    “…The Performance Of The Combined Techniques Is Validated By Using Leave-One-Out Cross Validation (Loocv) Technique And Receiver Operating Characteristic (Roc) Is Used To Analyze The Results. …”
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  19. 19
    TB-FusionNet: a multi-scale feature fusion algorithm with spatial and channel cross-attention for tuberculosis detection

    TB-FusionNet: a multi-scale feature fusion algorithm with spatial and channel cross-attention for tuberculosis detection by Ding, Zeyu, Yaakob, Razali, Tieng Wei, Koh, Azman, Azreen, Mohd Rum, Siti Nurulain, Zakaria, Nor Fadhlina, Ahmad Nazri, Azree Shahril

    Published 2026
    “…To address the aforementioned issues, this study proposes TB-FusionNet, a multi-scale feature fusion algorithm based on channel and spatial cross-attention mechanisms, for tuberculosis classification. …”
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  20. 20
    An improved design for cellular manufacturing system associating scheduling decisions

    An improved design for cellular manufacturing system associating scheduling decisions by Subhaa, R., Jawahar, N., Ponnambalam, S. G.

    Published 2019
    “…A comparison with the mathematical solution reveals that the proposed HH is capable of providing solutions closer to optimal in a computationally efficient manner. The model is validated by studying the effect of integrated decisions, machine duplications, and association of scheduling and cross-flow. …”
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