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  1. 1
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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  2. 2
    Using Economic Model To Improve The Performance Of BHR Dynamic Replication Algorithm.

    Using Economic Model To Improve The Performance Of BHR Dynamic Replication Algorithm. by Kanesin, Yogita, Sodhy, Gian Chand

    Published 2007
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  3. 3
    Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model

    Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model by Noraziah, Ahmad, Wan Maseri, Wan Mohd, Ainul Azila, Che Fauzi

    Published 2015
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  4. 4
    A novel deadlock detection algorithm for neighbour replication on grid environment

    A novel deadlock detection algorithm for neighbour replication on grid environment by Noriyani, Mohd Zin

    Published 2012
    “…The NRGDD is compared with Multi-Cycle of Deadlock Detection and Recovery (MC2DR) algorithm based on the time required for both models to detect two deadlock cycles and using different numbers of transactions. …”
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  5. 5
    Managing Fragmented Database Using BVAGQ-AR Replication Model

    Managing Fragmented Database Using BVAGQ-AR Replication Model by Ainul Azila, Che Fauzi, Noraziah, Ahmad, Tutut, Herawan, Z., Abdullah, Gupta, Ritu

    Published 2017
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  6. 6
    Dynamic replication algorithm in data grid: Survey

    Dynamic replication algorithm in data grid: Survey by K. Madi, Mohammed, Hassan, Suhaidi

    Published 2008
    “…A dynamic replication model based on mathematical concepts is proposed. …”
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  7. 7
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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  8. 8
    Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system

    Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system by Beg, Abul Hashem

    Published 2011
    “…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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  9. 9
    Replica Creation Algorithm for Data Grids

    Replica Creation Algorithm for Data Grids by Madi, Mohammed Kamel

    Published 2012
    “…Current algorithms focus on number of accesses in deciding which file to replicate and where to place them, which ignores resources’ capabilities. …”
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  10. 10
    Efficient access of replicated data in distributed database systems

    Efficient access of replicated data in distributed database systems by Mat Deris, Mustafa

    Published 2001
    “…The model describes the models for replicas, TDGS-RP, transactions, and the algorithms for managing transactions, and replicas.…”
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  11. 11
    Exploration of machine learning forecasting methods in M4 competition / Muhammad Halim Hamdan and Shuzlina Abdul-Rahman

    Exploration of machine learning forecasting methods in M4 competition / Muhammad Halim Hamdan and Shuzlina Abdul-Rahman by Hamdan, Muhammad Halim, Abdul-Rahman, Shuzlina

    Published 2021
    “…From a long list of forecasting algorithms that have been built throughout the years, it will be exhaustive for someone to go through the list one by one to choose which algorithm to use. …”
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  12. 12
    Finite Element Modelling and Updating of Motorcycle Structure with Suitable Length of Connecting Element

    Finite Element Modelling and Updating of Motorcycle Structure with Suitable Length of Connecting Element by M. S. M., Sani, K. M., Jelani, N. A. Z., Abdullah, M. N., Abdul Rani, M. A., Yunus

    Published 2023
    “…Two locations were used on the FE model for modelling of welded joints such as CBAR element connector used to replicate spot weld joint. …”
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  13. 13
    Application of correlation as a measure of performance

    Application of correlation as a measure of performance by Mohd. Rijal, O., Mohd Noor, N., Chang, Y.F.

    Published 2011
    “…In this study the correlation measure Rp 2 derived from the Un replicated Linear Functional relationship (ULFR) model will be shown to be a useful measure of performance in selected procedure or algorithm for a particular image registration method, a medical treatment, a character recognition method, and a compression method. …”
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  14. 14
    Power production optimization of model-free wind farm using simulated annealing algorithm

    Power production optimization of model-free wind farm using simulated annealing algorithm by Mok, Ren Hao, Mohd Ashraf, Ahmad

    Published 2022
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  15. 15
    Brain tumor quantification equation: modeled on complete step response algorithm

    Brain tumor quantification equation: modeled on complete step response algorithm by Aboaba, Abdulfattah A., Hameed, Shihab A., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Harun, Rahmat, Zain, Norzaini Rose Mohd

    Published 2012
    “…What is presented here is a novel brain tumor quantification method based on step response algorithm utilizing a model which itself was based on step response model resulting in smart and rapid quantification of brain tumor volume.…”
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  16. 16
    Finite element modeling and updating for dynamic study of exhaust structure

    Finite element modeling and updating for dynamic study of exhaust structure by M. S. M., Fouzi, M. S. M., Sani

    Published 2020
    “…It’s shown the capability SOL200 algorithm in preparing the reliable FE model before been used for further analysis such as structural dynamic modification.…”
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  17. 17
    A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms

    A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Ghazvini, Anahita, Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lee, Lai Soon

    Published 2024
    “…This research embarks on an exploration of the synergy between precision agriculture, crop modeling, and regression algorithms to create a digital twin for farmers to augment the concentration and composition prediction-based crop nutrient recovery. …”
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  18. 18
    A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms

    A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms by Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lai, Soon Lee, Ghazvini, Anahita

    Published 2024
    “…This research embarks on an exploration of the synergy between precision agriculture, crop modeling, and re-gression algorithms to create a digital twin for farmers to augment the concentration and compo-sition prediction-based crop nutrient recovery. …”
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  19. 19
    Rockfall source identification using a hybrid Gaussian mixture-ensemble machine learning model and LiDAR data

    Rockfall source identification using a hybrid Gaussian mixture-ensemble machine learning model and LiDAR data by Fanos, Ali Mutar, Pradhan, Biswajeet, Mansor, Shattri, Md Yusoff, Zainuddin, Abdullah, Ahmad Fikri, Jung, Hyung Sup

    Published 2019
    “…In addition, this technique has achieved excellent accuracies (ROC = 95%) over other methods used. Moreover, the proposed model has achieved the optimal prediction accuracies (92%) on the basis of testing data, thereby indicating that the model can be generalised and replicated in different regions, and the proposed method can be applied to various landslide studies.…”
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  20. 20
    Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks

    Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein, Hussein A. M, Abdul Rahim, Sharafiz, Mustapha, Faizal B., Krishnan, Prajindra S., Abdul Jalil, Nawal Aswan

    Published 2025
    “…The subsequent data processing stage involved the application of an ANN algorithm for pattern recognition to analyze and classify the acquired data, identifying patterns associated with the replicated fault conditions. …”
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