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  1. 1
    Energy, Vibration And Sound Research Group (e-VIBS) School Of Science And Technology Universiti Malaysia Sabah : Bioacoustics Signal Modeling Using Time-Frequency Distribution

    Energy, Vibration And Sound Research Group (e-VIBS) School Of Science And Technology Universiti Malaysia Sabah : Bioacoustics Signal Modeling Using Time-Frequency Distribution by Jedol Dayou, Ng, Chee Han, Ho, Chong Mun, Abdul Hamid Ahmad, Mohd Noh Dalimin, Sithi V. Muniandy

    Published 2011
    “…WE is a combination of interdisciplinary concepts between wavelet transform and entropy. In order to archive this, the entropies (SE, RE and TE) were extracted from three types of wavelet transforms, namely continuous wavelet transform (CWT), discrete wavelet transform (DWT) and wavelet packet decomposition (WPD), of a bioacoustics. signal. …”
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  2. 2
    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review

    Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review by Nuh, Jamal Abdullahi, Koh, Tieng Wei, Baharom, Salmi, Osman, Mohd Hafeez, Kew, Si Na

    Published 2021
    “…To evaluate such performance, it is necessary to consider a number of performance metrics that play important roles during the evaluation and comparison of investigated algorithms based on their best-simulated results. …”
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  3. 3
    Image Encrytion Using Block Based Transformation Algorithm

    Image Encrytion Using Block Based Transformation Algorithm by Bani Younes, Mohammad Ali, Jantan, Aman

    Published 2008
    “…In this paper, we introduce a block-based transformation algorithm based on the combination of image transformation and a well known encryption and decryption algorithm called Blowfish. …”
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  4. 4
    Removal of heavy metals from water by functionalized carbon nanotubes with deep eutectic solvents: An artificial neural network approach / Seef Saadi Fiyadh

    Removal of heavy metals from water by functionalized carbon nanotubes with deep eutectic solvents: An artificial neural network approach / Seef Saadi Fiyadh by Seef Saadi , Fiyadh

    Published 2019
    “…The best result achieved for Pb2+ removal using ANFIS algorithm is with RE 7.078%. For As3+ removal using different adsorbents, two algorithms were applied for the modelling, the feed-forward back-propagation maximum RE achieved is 5.97% while, the NARX algorithm achieved better accuracy with maximum RE of 5.79%. …”
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  5. 5
    State-Aware re-configuration model for multi-radio wireless Mesh Networks

    State-Aware re-configuration model for multi-radio wireless Mesh Networks by Zakaria, Omar, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina, Khalifa, Othman Omran, Azram, Mohammad, Goudarzi, Shidrokh, Jivanadham, Lalitha Bhavani, Zareei, Mahdi

    Published 2017
    “…The proposed algorithm re-assigns channels to radios and re-configures flows’ routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. …”
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  6. 6
    A hybrid grey wolf assisted-sparrow search algorithm for frequency control of RE integrated system

    A hybrid grey wolf assisted-sparrow search algorithm for frequency control of RE integrated system by Fadheel, Bashar Abbas, Wahab, Noor Izzri Abdul, Mahdi, Ali Jafer, Premkumar, Manoharan, Radzi, Mohd Amran Bin Mohd, Soh, Azura Binti Che, Veerasamy, Veerapandiyan, Irudayaraj, Andrew Xavier Raj

    Published 2023
    “…Moreover, the robustness of the proffered method is also evaluated under the random varying load, variation of HPS system parameter, and weather intermittency of RE resources in real-time conditions. …”
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  7. 7
    Sustainable renewable energy resources utilization in rural areas

    Sustainable renewable energy resources utilization in rural areas by Woldeyohannes, A.D., Woldemichael, D.E., Baheta, A.T.

    Published 2016
    “…For the first case, the total energy requirement and the energy potential available from the regions is 1.26Â GWÂ h/year. For this scenario, most of the regions (seven regions) received the energy requirements from single RE source; three regions received the required energy from two different RE sources. …”
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  8. 8
    Sustainable renewable energy resources utilization in rural areas

    Sustainable renewable energy resources utilization in rural areas by Woldeyohannes, A.D., Woldemichael, D.E., Baheta, A.T.

    Published 2016
    “…For the first case, the total energy requirement and the energy potential available from the regions is 1.26Â GWÂ h/year. For this scenario, most of the regions (seven regions) received the energy requirements from single RE source; three regions received the required energy from two different RE sources. …”
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  9. 9
    Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform

    Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform by Ooi , Chong Wei

    Published 2015
    “…Performance comparison between SURF and SIFT is made. To obtain matching point between images, Flann Based Matcher is used. …”
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  10. 10
    An FPGA implementation and performance analysis between radix-2 and radix-4 of 4096 point FFT

    An FPGA implementation and performance analysis between radix-2 and radix-4 of 4096 point FFT by Abbas, Zaid Ali, Sulaiman, Nasri, Md Yunus, Nurul Amziah, Wan Hasan, Wan Zuha, Ahmed, Mohammed K.

    Published 2018
    “…Memory-based architecture adopted for the all algorithms. …”
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  11. 11
    The Haar-Recursive transform and its consequence to the Walsh-paley spectrum and the autocorrelation function

    The Haar-Recursive transform and its consequence to the Walsh-paley spectrum and the autocorrelation function by Rafiq, Hashum M., Siddiqi, Mohammad Umar

    Published 2016
    “…The paper introduces a new Haar-based transform algorithm (Haar-Paley-Recursive Transform, HPRT) in the form of a recursive function along with its fast transform version. …”
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  12. 12
    Contrast enhancement for colour images based on discrete wavelet transform

    Contrast enhancement for colour images based on discrete wavelet transform by Mohd Zaidi, Noor Afina

    Published 2017
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  13. 13
    A comparison of discrete cosine transform and discrete wavelet transform algorithm in watermarking against common attacks

    A comparison of discrete cosine transform and discrete wavelet transform algorithm in watermarking against common attacks by Said, Mohamed Abdisalan

    Published 2015
    “…Currently, there is no comparison documented done between Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). …”
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  14. 14
    Image watermarking optimization algorithms in transform domains and feature regions

    Image watermarking optimization algorithms in transform domains and feature regions by Tao, Hai

    Published 2012
    “…As a result,it will first introduce the theories about the feature extraction and the basic principles on how feature points can act as locating resynchronization between watermark insertion and extraction discussed in detail.Subsequently,it will present several content-based watermark embedding and extraction methods which can be directly implemented based on the synchronization scheme.Further detailed watermarking schemes which combine feature regions extraction with counter propagation neural network-based watermarks synapses memorization are then presented.The performance of watermarking schemes based on framework of feature point shows the following advantages:a)Good imperceptibility. …”
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  15. 15
    Correlation immunity and resiliency of boolean functions from haar domain perspective

    Correlation immunity and resiliency of boolean functions from haar domain perspective by Rafiq, Hashum M., Siddiqi, Mohammad Umar

    Published 2015
    “…The results in this presentation are based on a simulation study of the Haar-based algorithm in comparison to its Walsh-counterpart. …”
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  16. 16
    A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking

    A Wavelet-Based Particle Swarm Optimization Algorithm for Digital Image Watermarking by Jasni, Mohamad Zain, Tao, Hai, Ahmed, M. Masroor, Abdalla, Ahmed N., Jing, Wang

    Published 2012
    “…This paper proposes the application of Discrete Wavelet Transform (DWT) into image watermarking by using Particle Swarm Optimization (PSO) which is an evolutionary technique with the stochastic, population-based algorithm for solving this problem. …”
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  17. 17
    Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems

    Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems by Tara Othman Qadir, Tara Othman Qadir, N.S.A.M Taujuddin, N.S.A.M Taujuddin

    Published 2024
    “…In this study, we presented a Black Hole Algorithm (BHA) along the Canny edge detector and circular Hough transform-based optimization technique for circular parameter identification of iris segmentation. …”
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  18. 18
    Classification of Learner Retention using Machine Learning Approaches

    Classification of Learner Retention using Machine Learning Approaches by Nur Amalina Diyana Suhaimi , Norshaliza Kamaruddin, Thirumeni T Subramaniam, Nilam Nur Amir Sjarif, Maslin Masrom, Nurazean Maarop

    Published 2021
    “…The performance of these algorithms was evaluated based on accuracy, precision, recall, and f-measure. …”
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  19. 19
    Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model

    Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model by Selva A.M., Yahaya M.S., Azis N., Ab Kadir M.Z.A., Jasni J., Yang Ghazali Y.Z.

    Published 2023
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  20. 20
    Spatial Clustering Algorithm for Time Series Rainfall Data Using X-Means Data Splitting

    Spatial Clustering Algorithm for Time Series Rainfall Data Using X-Means Data Splitting by Ali, Noor Rasidah, Ku Mahamud, Ku Ruhana

    Published 2017
    “…The hierarchical clustering was used to demonstrate the similarity once the data was divided into training and testing sets. The proposed algorithm is compared with five types of data transformation techniques, namely mean and median in monthly data and the rest is in daily data such as binary, cumulative and actual values.Results indicate that data transformation using X-means data splitting in hierarchical clustering outperformed other transformation techniques and more consistent between training and testing datasets based on similarity measures.…”
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