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  1. 1
    Efficient gear fault feature selection based on moth‑flame optimisation in discrete wavelet packet analysis domain

    Efficient gear fault feature selection based on moth‑flame optimisation in discrete wavelet packet analysis domain by Ong, Pauline, Tieh, Tony Hieng Cai, Lai, Kee Huong, Lee, Woon Kiow, Ismon, Maznan

    Published 2019
    “…Second, the MFO algorithm was utilised to select the optimal discriminative features. …”
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  2. 2
    A novel selection of optimal statistical features in the DWPT domain for discrimination of ictal and seizure-free electroencephalography signals

    A novel selection of optimal statistical features in the DWPT domain for discrimination of ictal and seizure-free electroencephalography signals by Ong, Pauline, Zainuddin, Zarita, Kee, Huong Lai

    Published 2018
    “…In this present study, a novel feature selection scheme based on the discrete wavelet packet decomposition and cuckoo search algorithm (CSA) was proposed. …”
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  3. 3
    A novel selection of optimal statistical features in the DWPT domain for discrimination of ictal and seizure‑free electroencephalography signals

    A novel selection of optimal statistical features in the DWPT domain for discrimination of ictal and seizure‑free electroencephalography signals by Ong, Pauline, Zainuddin, Zarita, Kee, Huong Lai

    Published 2017
    “…In this present study, a novel feature selection scheme based on the discrete wavelet packet decomposition and cuckoo search algorithm (CSA) was proposed. …”
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  4. 4
    Non-invasive pathological voice classifications using linear and non-linear classifiers

    Non-invasive pathological voice classifications using linear and non-linear classifiers by Hariharan, Muthusamy

    Published 2010
    “…In the case of detection of specific disorders, wavelet packet and entropy features perform well compared to time-domain energy variations based features and MFCCs and SVD based features. …”
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    Thesis
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  5. 5
    Features selection for IDS in encrypted traffic using genetic algorithm

    Features selection for IDS in encrypted traffic using genetic algorithm by Barati, Mehdi, Abdullah, Azizol, Mahmod, Ramlan, Mustapha, Norwati, Udzir, Nur Izura

    Published 2013
    “…This paper presents a hybrid feature selection using Genetic Algorithm and Bayesian Network to improve Brute Force attack detection in Secure Shell (SSH) traffic.Brute Force attack traffic collected in a client-server model is implemented in proposed method.Our results prove that the most efficient features were selected by proposed method.…”
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  6. 6
    Performance of various forecasting algorithms to reduce the number of transmitted packets by sensor node in wireless sensor networks

    Performance of various forecasting algorithms to reduce the number of transmitted packets by sensor node in wireless sensor networks by Husni, Muhammed Ihsan

    Published 2018
    “…The simulation experiments are done using MATLAB software for a variety of algorithms. The selected algorithms for the reduction algorithm in the transmissions include Move Average algorithm (MA), Autoregressive all-pole model parameters — Burg’s algorithm. …”
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  7. 7
    Features selection for ids in encrypted traffic using genetic algorithm

    Features selection for ids in encrypted traffic using genetic algorithm by Barati, Mehdi, Abdullah, Azizol, Mahmod, Ramlan, Mustapha, Norwati, Udzir, Nur Izura

    Published 2013
    “…This paper presents a hybrid feature selection using Genetic Algorithm and Bayesian Network to improve Brute Force attack detection in Secure Shell (SSH) traffic. …”
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  8. 8
    Development of a novel component carrier selection algorithm in long term evolution-advanced (LTE-A) with carrier aggregation

    Development of a novel component carrier selection algorithm in long term evolution-advanced (LTE-A) with carrier aggregation by Al Katsha, Mhd Zaher, Mohd. Ramli, Huda Adibah

    Published 2017
    “…It was shown via simulation that the proposed algorithm can significantly improve the downlink LTE-Advanced performance as compared to the conventional CC selection algorithms.…”
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    Proceeding Paper
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  9. 9
    Intelligent fault diagnosis for broken rotor bar using wavelet packet signature analysis

    Intelligent fault diagnosis for broken rotor bar using wavelet packet signature analysis by Zolfaghari, Sahar

    Published 2016
    “…Then, the practically identical mother wavelet, db44, was selected based on standard deviation of wavelet packet coefficients. …”
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  10. 10
    A COLLABORATIVE FRAMEWORK FOR ANDROID MALWARE IDENTIFICATION USING DYNAMIC ANALYSIS

    A COLLABORATIVE FRAMEWORK FOR ANDROID MALWARE IDENTIFICATION USING DYNAMIC ANALYSIS by Thayaaleni, Rajandran

    Published 2019
    “…The Correlationbased Feature Selection Evaluator (CfsSubset) algorithm is applied in feature selection process in order to improve the classification process. …”
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    Final Year Project Report / IMRAD
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  11. 11
    Maximum-largest weighted delay first algorithm for heterogeneous traffic in 4G networks

    Maximum-largest weighted delay first algorithm for heterogeneous traffic in 4G networks by Elsheikh, Elsheikh Mohamed Ahmed, Habaebi, Mohamed Hadi, Mohd Ramli, Huda Adibah, Arafa, Mohammed H. A., Ahmed, Kazi Istiaque

    Published 2018
    “…With this ever evolving technology the need for improvements is required. Packet scheduling is one of the important key features of LTE-A, where it dictates user selection and transmission of those user’s packets based on the priority of the users to reach the receiver correctly. …”
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  12. 12
    A packet scheduling scheme for improving real-time applications performance in downlink LTE–advanced

    A packet scheduling scheme for improving real-time applications performance in downlink LTE–advanced by Elsheikh, Elsheikh Mohamed Ahmed, Habaebi, Mohamed Hadi, Mohd Ramli, Huda Adibah, Arafa, Mohammed H. A., Ahmed, Kazi Istiaque

    Published 2018
    “…Quality of Service based packet scheduling is a key-feature of LTE-A mandating selection and transmission of individual user packets based on their priority. …”
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  13. 13
    Effective dimensionality reduction of payload-based anomaly detection in TMAD model for HTTP payload

    Effective dimensionality reduction of payload-based anomaly detection in TMAD model for HTTP payload by Kakavand, Mohsen, Mustapha, Norwati, Mustapha, Aida, Abdullah @ Selimun, Mohd Taufik

    Published 2016
    “…The PCA algorithm transforms high-dimensional feature vectors into a low-dimensional feature space, which is used to determine the optimum volume of factors. …”
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  14. 14
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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    Final Year Project
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  15. 15
    Malware Classification and Detection using Variations of Machine Learning Algorithm Models

    Malware Classification and Detection using Variations of Machine Learning Algorithm Models by Andi Maslan, Andi Maslan, Abdul Hamid, Abdul Hamid

    Published 2025
    “…The research stage starts from pre-Processing, extraction, feature selection and classification processes and performance testing. …”
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  16. 16
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
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  17. 17
    Provider independent cryptographic tools

    Provider independent cryptographic tools by Ibrahim, Subariah, Salleh, Mazleena, Abdul Aziz, Shah Rizan

    Published 2003
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    Monograph
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  18. 18
    Optimization of least squares support vector machine technique using genetic algorithm for electroencephalogram multi-dimensional signals

    Optimization of least squares support vector machine technique using genetic algorithm for electroencephalogram multi-dimensional signals by Ahmad, Farzana Kabir, Al-Qammaz, Abdullah Yousef Awwad, Yusof, Yuhanis

    Published 2016
    “…Discrete wavelet packet transform (DWPT) has been used to extract EEG signals feature and ultimately 204,800 features from 32 subject-independent have been obtained. …”
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  19. 19
    A new approach in solving illumination and facial expression problems for face recognition

    A new approach in solving illumination and facial expression problems for face recognition by Yee, Wan Wong, Kah, Phooi Seng, Li, Minn Ang

    Published 2009
    “…In this paper, a novel dual optimal multiband features (DOMF) method is presented to increase the robustness of face recognition system to illumination and facial expression variations.The wavelet packet transform first decomposes image into low-, mid- and high-frequency subbands and the multiband feature fusion technique is incorporated to select the subbands that are invariant to illumination and expression variation separately.These subbands form the optimal feature sets.Parallel radial basis function neural networks are employed to classify these feature sets.The scores generated by the neural networks are combined by an adaptive fusion mechanism where the level of illumination variations of the testing image is estimated and the weights are assigned to the scores accordingly.The experimental results show that DOMF outperforms other algorithms and also achieves promising performance on illumination and facial expression variation conditions.…”
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  20. 20
    A genetic algorithm optimized RNN-LSTM model for remaining useful life prediction of turbofan engine

    A genetic algorithm optimized RNN-LSTM model for remaining useful life prediction of turbofan engine by Chui, K.T., Gupta, B.B., Vasant, P.

    Published 2021
    “…A benchmark dataset, namely Turbofan Engine Degradation Simulation Dataset, was selected for performance analysis and evaluation. The proposal of the combination of complete ensemble empirical mode decomposition and wavelet packet transform for feature extraction could reduce the average root-mean-square error (RMSE) by 5.14-27.15 compared with six approaches. …”
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