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    Forecasting of energy-related carbon dioxide emission using ANN combined with hybrid metaheuristic optimization algorithms by Moayedi H., Mukhtar A., Ben Khedher N., Elbadawi I., Amara M.B., TT Q., Khalilpoor N.

    Published 2025
    “…The study found that TLBO and VS outperform other algorithms in CO2 emission computation accuracy. TLBO has a higher training MSE (3.6778) and lower testing MSE (4.4673), suggesting larger squared errors on training data and lower testing MSE, suggesting less overfitting due to better generalization to the testing set. ? …”
    Article
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    Evaluation of machine learning algorithms in predicting CO 2 internal corrosion in oil and gas pipelines by Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J.

    Published 2019
    “…This paper discusses on the evaluation of machine learning algorithms in predicting CO 2 internal corrosion rate. …”
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    Article
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    Evaluation of machine learning algorithms in predicting CO2 internal corrosion in oil and gas pipelines by Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J.

    Published 2019
    “…This paper discusses on the evaluation of machine learning algorithms in predicting CO2 internal corrosion rate. …”
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    Article
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    Multi-Objective Optimal Energy Management of Nanogrid Using Improved Pelican Optimization Algorithm by Jamal S., Pasupuleti J., Rahmat N.A., Tan N.M.L.

    Published 2025
    “…The simulation reveals that the suggested IPOA algorithm exhibited the most economical performance and the lowest CO2 emissions. …”
    Article
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    An FPGA implementation of exp-bet scheduling algorithm in LTE networks / Yusmardiah Yusuf by Yusuf, Yusmardiah

    Published 2017
    “…It is performed by the scheduling algorithm implemented in the Long Term Evolution (LTE) base station, Evolved Node B. …”
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    Thesis
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    State of charge estimation in lithium-ion batteries: A neural network optimization approach by Hossain Lipu M.S., Hannan M.A., Hussain A., Ayob A., Saad M.H.M., Muttaqi K.M.

    Published 2023
    “…This work investigates the performance of lithium nickel manganese cobalt oxide (LiNiMnCoO2 ) and lithium nickel cobalt aluminum oxide (LiNiCoAlO2 ) toward SOC estimation under two experimental test conditions: the static discharge test (SDT) and hybrid pulse power characterization (HPPC) test. …”
    Article
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    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

    Published 2005
    “…However, both algorithms tested on MASTER dataset produced different results. …”
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    Thesis
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    Adaptive thresholding based on co-occurrence matrix edge information by Mohd. Mokji, Musa, Syed Abu Bakar, Syed Abdul Rahman

    Published 2007
    “…In this paper, an adaptive thresholding technique based on gray level co-occurrence matrix (GLCM) is presented to handle images with fuzzy boundaries. …”
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    Conference or Workshop Item
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    A hardware implementation of Rivest-Shamir-Adleman co-processor for resource constrained embedded systems by Paniandi, Arul

    Published 2006
    “…Embedded C language codes are then written to test the functionality of the RSA co-processor on hardware. …”
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    Thesis
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    HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC by Jamil, Nur Farahim

    Published 2014
    “…The algorithm gives a mean accuracy of 84% out of 125 test images.…”
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    Final Year Project
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    HEp-2 cell images classification based on statistical texture analysis and fuzzy logic by Jamil, N.F.B., Faye, I., May, Z.

    Published 2014
    “…A working classification algorithm is developed and gives a mean accuracy of 84 out of 125 test images. …”
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    Conference or Workshop Item
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    A Comprehensive Study on CO2-CH4 Gas Separation Using γ-Alumina Membrane and Parameters Affecting Permeability and Separation Behavior by AHMAD, FATIN MUNIRAH

    Published 2012
    “…Other than that, lower stage cut results in lower CH4 loss, higher CO2 retained and higher CO2 removed. Meanwhile, higher feed CO2 will increase the amount of CO2 removed and CO2 retained.…”
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    Final Year Project
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