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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
    “…A well known task is classification that predicts the class of new instances using known features or attributes automatically. …”
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  2. 2
    A multi-filter feature selection in detecting distributed denial-of-service attack

    A multi-filter feature selection in detecting distributed denial-of-service attack by Yon, Yi Jun, Leau, Yu-Beng, Suraya Alias, Park, Yong Jin

    Published 2019
    “…It consists of 3-stage procedures: feature ranking, feature selection and classification. Subsequently, an experimental evaluation of the proposed Multi-Filter Feature Selection (M2FS) method is performed by using the benchmark dataset, NSL-KDD and employed the J48 classification algorithm. …”
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  3. 3
    3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm

    3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm by Yong, Ericsson, Muhammad Aizzat, Zakaria, Mohamad Heerwan, Peeie, M. Izhar, Ishak

    Published 2024
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  4. 4
    A proposed de-noising algorithm

    A proposed de-noising algorithm by Abdulwahab, Nawafil, Alshaikhli, Imad Fakhri Taha

    Published 2020
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  5. 5
    Demand analysis of flood insurance by using logistic regression model and genetic algorithm

    Demand analysis of flood insurance by using logistic regression model and genetic algorithm by Sidi, P., Mamat, M.B., Sukono, ., Supian, S., Putra, A.S.

    Published 2018
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  6. 6
    Application of the bees algorithm to the selection features for manufacturing data

    Application of the bees algorithm to the selection features for manufacturing data by Pham, D.T, Mahmuddin, Massudi, Otri, S., Al-Jabbouli, H.

    Published 2007
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  7. 7
    Adaptive regularizer for recursive neural network training algorithms

    Adaptive regularizer for recursive neural network training algorithms by Asirvadam, Vijanth Sagayan

    Published 2008
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  8. 8
    The forecasting of poverty using the ensemble learning classification methods

    The forecasting of poverty using the ensemble learning classification methods by Zamzuri, Muhammad Haziq Adli, Nadilah, Sofian, Hassan, Raini

    Published 2023
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  9. 9
    Shape matching and object recognition using dissimilarity measures with Hungarian algorithm

    Shape matching and object recognition using dissimilarity measures with Hungarian algorithm by Chitra, D., Manigandan, T., Devarajan, N.

    Published 2009
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  10. 10
    Waste management using machine learning and deep learning algorithms

    Waste management using machine learning and deep learning algorithms by Sami, Khan Nasik, Amin, Zian Md Afique, Hassan, Raini

    Published 2020
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  11. 11
    Prediction of college student academic performance using data mining techniques.

    Prediction of college student academic performance using data mining techniques. by Abd Jalil, Azura, Mustapha, Aida, Santa, Dzulizah, Zain, Nurul Zaiha, Radwan, Rizalina

    Published 2013
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  12. 12
    Twitter sentiment analysis of Malaysian fast food restaurant chains: a novel approach to understand customer perception using Naïve Bayes / Muhammad Hafeez Hakimi Muhd Zahidi Ridzuan and Khairul Nizam Abd Halim

    Twitter sentiment analysis of Malaysian fast food restaurant chains: a novel approach to understand customer perception using Naïve Bayes / Muhammad Hafeez Hakimi Muhd Zahidi Ridzu... by Muhd Zahidi Ridzuan, Muhammad Hafeez Hakimi, Abd Halim, hairul Nizam

    Published 2023
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  13. 13
    Analysis randomness properties of basic components of SNOW 3G cipher in mobile systems

    Analysis randomness properties of basic components of SNOW 3G cipher in mobile systems by Jassim, Khalid Fadhil, Alshaikhli, Imad Fakhri Taha

    Published 2016
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  14. 14
    Twitter sentiment analysis of Malaysian fast food restaurant chains: a novel approach to understand customer perception using Naïve Bayes / Muhammad Hafeez Hakimi Muhd Zahidi Ridzuan and Khairul Nizam Abd Halim

    Twitter sentiment analysis of Malaysian fast food restaurant chains: a novel approach to understand customer perception using Naïve Bayes / Muhammad Hafeez Hakimi Muhd Zahidi Ridzu... by Muhd Zahidi Ridzuan, Muhammad Hafeez Hakimi, Abd Halim, Khairul Nizam

    Published 2023
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  15. 15
    The effects of COVID-19 in global warming through the application of data science

    The effects of COVID-19 in global warming through the application of data science by Rafia, Tasnim, Mahmood Hasan, Tanveer, Hassan, Raini

    Published 2022
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  16. 16
    Capability requirements on fraud prevention in the Nigeria public sector: perception of forensic accountants and auditors

    Capability requirements on fraud prevention in the Nigeria public sector: perception of forensic accountants and auditors by Lateef, Saheed Ademola

    Published 2017
    “…Three were tested through the use of the PLS-SEM Algorithm and Bootstrapping techniques regarding their internal consistency reliability, convergent validity, discriminant validity, and direct relationships. …”
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  17. 17
    An approach of classifying waste using transfer learning method

    An approach of classifying waste using transfer learning method by Amin, Zian Md Afique, Khan, Nasik Sami, Hassan, Raini

    Published 2021
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  18. 18
    Pixel value differencing steganography techniques: Analysis and open challenge

    Pixel value differencing steganography techniques: Analysis and open challenge by Hussain, Mehdi, Wahab, Ainuddin Wahid Abdul, Anuar, Nor Badrul, Salleh, Rosli, Noor, Rafidah Md

    Published 2015
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  19. 19
    Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm

    Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm by Banadkooki F.B., Ehteram M., Ahmed A.N., Teo F.Y., Fai C.M., Afan H.A., Sapitang M., El-Shafie A.

    Published 2023
    “…The radial basis function (RBF) neural network�whale algorithm (WA) model, the multilayer perception (MLP�WA) model, and genetic programming (GP) were used to predict GWL. …”
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  20. 20
    Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA

    Mel Frequency Cepstral Coefficient (MFCC) extraction for speaker identification on FPGA by Phak Len, Eh Kan, Rafikha Aliana, Raof, Ahmad Nasir, Che Rosli, Razaidi, Hussin

    Published 2009
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