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    Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity by Dehkordi, Sepehr Ghasemi

    Published 2014
    “…The performance of the proposed algorithm is comparable with the benchmark NLFXLMS and superior to the conventional FXLMS with the proposed algorithm.…”
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    Thesis
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    A Review: Current Trend of Immersive Technologies for Indoor Navigation and the Algorithms by Sariman, Muhammad Shazmin, Othman, Maisara, Mat Akir, Rohaida, Mahamad, Abd Kadir, Ab Rahman, Munirah

    Published 2024
    “…In these quick analyses, we pull out the most important concepts, article types, rating criteria, and the positives and negatives of each piece. Based on the findings of this review, we can conclude that an efficient solution for indoor navigation that uses the capabilities of embedded data and technological advances in immersive technologies can be achieved by training the shortest path algorithm with a deep learning algorithm to enhance the indoor navigation system.…”
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    Article
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    Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh by Sai , Chong Yeh

    Published 2020
    “…The training and parameters selection of the machine learning algorithms are conducted using EEG data collected from ten subjects in the laboratory. …”
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    Thesis
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    Intelligent cooperative web caching policies for media objects based on J48 decision tree and naïve Bayes supervised machine learning algorithms in structured peer-to-peer systems by Ibrahim, Hamidah, Mohammed, Waheed Yasin, Udzir, Nur Izura, Abdul Hamid, Nor Asilah Wati

    Published 2016
    “…Moreover, traditional web caching policies such as Least Recently Used (LRU), Least Frequently Used (LFU), and Greedy Dual Size (GDS) suffer from caching pollution (i.e. media objects that are stored in the cache are not frequently visited which negatively affects on the performance of web proxy caching). …”
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    Article
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    An efficient computer forensics selective imaging model by Halboob, Waleed, Alghathbar, Khaled S., Mahmod, Ramlan, Udzir, Nur Izura, Abdullah @ Selimun, Mohd Taufik, Deghantanha, Ali

    Published 2014
    “…The evaluation result shows that even if our proposed algorithm has a small efficiency negative impact before the imaging process starts; it has a large positive effect on the efficiency of the selective imaging process itself.…”
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    Book Section
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    Sentiment analysis of customer review for Tina Arena Beauty by Amri, Nur Najwa Shahirah

    Published 2025
    “…Future work may involve expanding the dataset, integrating real-time feedback systems, and evaluating advanced algorithms to improve classification performance further. …”
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    Student Project
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    Intelligent cooperative web caching policies for media objects based on J48 decision tree and Naive bayes supervised machine learning algorithms in structured peer-to-peer systems by Ibrahim, Hamidah, Yasin, Waheed, Udzir, Nur Izura, Abdul Hamid, Nor Asilah Wati

    Published 2016
    “…Moreover, traditional web caching policies such as Least Recently Used (LRU), Least Frequently Used (LFU), and Greedy Dual Size (GDS) suffer from caching pollution (i.e. media objects that are stored in the cache are not frequently visited which negatively affects on the performance of web proxy caching). …”
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    Article
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    Network bandwidth utilization based on collaborative web caching using machine learning algorithms in peer-to-peer systems for media web objects by Mohammed, Waheed Yasin

    Published 2018
    “…Moreover, traditional web caching policies such as Least Recently Used (LRU) and Least Frequently Used (LFU) suffer from caching pollution (i.e. media objects that are stored in the cache are not frequently visited, which negatively affects on the performance of web proxy caching). …”
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    Thesis
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    Uncovering user perceptions toward digital banks in Indonesia: A Naïve Bayes sentiment analysis of twitter data by Karmagatri, Mulyani, Aziz, Clarisa Fezia Amanda, Asih, Wini Rizki Purnama, Jumbri, Isma Addi

    Published 2023
    “…The positive, negative, and neutral sentiments in this study are used to identify business opportunities for digital banks and practical implications for future digital banking services.…”
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    Article
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    Change detection on land surface temperature and land use land cover in Jelutong, Jelutong, Perak / Noor Ezlly Shafira Musselihat by Musselihat, Noor Ezlly Shafira

    Published 2023
    “…Advanced algorithms were used for LST extraction using Landsat 8 satellite data and Envi software version 5.3, and geospatial techniques were used for land use land cover classification. …”
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    Student Project
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    Motives of sharing fake news and effects on mental health of social media users: a meta-analysis by He Dan, Shahrul Nazmi Sannusi

    Published 2024
    “…This study offers new insights into social media usage from the uses and gratification perspective during health crises, shedding light on its impact on fake news dissemination and suggesting practical algorithmic control measures.…”
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    Article
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    Software reusability in green computing / Ibraheem Y. Y. Ahmaro by Y. Y. Ahmaro, Ibraheem

    Published 2013
    “…Telecommuting is the main green computing approach while algorithmic efficiency, power management, voice over internet protocol (VOIP) and virtualization approaches are also commonly used methods. …”
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    Thesis
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    Development And Verification Of Traffic Noise Estimation Using Quarry Environmental Modeling (Qem) by Rahim, Nuramizah Abdul

    Published 2017
    “…It shows that the software QEMs is more efficient to use because it uses geological parameters such as distance, reflectance rate, vibration and others.…”
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    Monograph
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    Effect of business social responsibility (BSR) on performance of SMEs in Nigeria by Gorondutse, Abdulahi Hassan

    Published 2014
    “…A conceptual framework was developed based on extant literatures and the develop model is based on these BSR constructs Data was collected through hand delivery method by sending questionnaires to 800 SMEs managers/owners. This study used purposive sampling for sample selection. Partial Least Squares (PLS) algorithm and bootstrap techniques were used to test the study‘s hypotheses. …”
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    Thesis
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