Search Results - (( developing nation reference algorithm ) OR ( java implication based algorithm ))

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    Reference-point modified honey badger algorithm: Intelligent optimization for off-grid photovoltaic system / Nur Atharah Kamarzaman ... [et al.] by Kamarzaman, Nur Atharah, Sulaiman, Shahril Irwan, Yassin, Ahmad Ihsan, Zainuddin, Hedzlin, Ibrahim, Intan Rahayu

    Published 2024
    “…Furthermore, this aligns with the United Nations Sustainable Development Goal (SDG) 7, which aims to ensure access to affordable, reliable, sustainable, and modern energy for all.…”
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    Conference or Workshop Item
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    Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration by Chia, Min Yan

    Published 2022
    “…As for the NNE, a novel meta-learner based on the stochastic-enabled extreme learning machine integrated with whale optimisation algorithm (WOA-ELM) was developed and used in such an application for the first time. …”
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    Final Year Project / Dissertation / Thesis
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    Forecasting Tourism Market for Fiji based on Indicator Approach by Soh, Ann Ni

    Published 2019
    “…The aim of this study is to construct a tourism cycle indicator (TCI) to anticipate the cyclical movements of tourism development. The time duration investigated spanned approximately two decades from 2000 to 2017. …”
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    Thesis
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    Machine learning based return prediction for digital financial portfolios by LinXi Shi, Thien Sang Lim, Jin Yan, Pengcheng Qi, Tao Li

    Published 2025
    “…This paper provides reference value for the optimization and improvement of the digital financial portfolio investment return prediction system and contributes to the development of digital finance.…”
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    Article
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    Modelling of geometric correction and relative radiometric normalization for near equatorial earth observation satellite images by Al-Razzaq Abd, Hayder Abd

    Published 2015
    “…The method aims to acquire the intensity values of the control points to use as pseudo invariant features (PIFs) between the reference and sensed image bands. The next step is to perform statistical linear regression on the control points of the reference and sensed image bands to generate regression transformation functions for use in normalizing the sensed image bands to reference image bands. …”
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    Thesis
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