Search Results - (( sequence optimization bat algorithm ) OR ( loading classification problem algorithm ))

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  1. 1
    Intuitive content management system via manipulation and duplication with if-else rules classification

    Intuitive content management system via manipulation and duplication with if-else rules classification by Chan, Chung Hoong

    Published 2018
    “…The fact that CMS is dynamically generated is a problem on pages loading speed which is currently used in Drupal, Joomla, WordPress, and Agility CMS. …”
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  2. 2
    Electricity load profile determination by using fuzzy C-means and probability neural network / Norhasnelly Anuar

    Electricity load profile determination by using fuzzy C-means and probability neural network / Norhasnelly Anuar by Anuar, Norhasnelly

    Published 2015
    “…This method will give the best result when clustering the overlapped data in load profile. PNN is a fast training process to do the classification activities. …”
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  3. 3
    Load balancing and server consolidation in cloud computing environments: a meta-study

    Load balancing and server consolidation in cloud computing environments: a meta-study by Fadhil, Mohammed Alaa, Othman, Mohamed

    Published 2019
    “…Therefore, this paper surveys published load balancing algorithms that achieved by server consolidation via a meta-analysis. …”
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  4. 4
    Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy

    Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy by Yap K.S., Yap H.J.

    Published 2023
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  5. 5
    Service based load balance mechanism using software-defined networks / Ahmed Abdelaziz Abdelltif Osman

    Service based load balance mechanism using software-defined networks / Ahmed Abdelaziz Abdelltif Osman by Ahmed Abdelaziz, Abdelltif Osman

    Published 2017
    “…To address aforementioned problems, we proposed a service based load balance (SBLB) mechanism using Software-Defined Networks (SDN). …”
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  6. 6
    Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data

    Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data by Qadir Saraf, Tara Othman, Fuad, Norfaiza, Md Taujuddin, Nik Shahidah Afifi

    Published 2023
    “…Alternatively, variable length searching enables searching within the variable length of the solution space, which leads to more optimality and less computational load. The literature contains various meta-heuristic algorithms with variable length searching. …”
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  7. 7
    Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data

    Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data by Qadir Saraf, Tara Othman, Fuad, Norfaiza, Md Taujuddin, Nik Shahidah Afifi

    Published 2023
    “…Alternatively, variable length searching enables searching within the variable length of the solution space, which leads to more optimality and less computational load. The literature contains various meta-heuristic algorithms with variable length searching. …”
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  8. 8
    Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data

    Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data by Qadir Sara, Tara Othman, Fuad, Norfaiza, Md Taujuddin, Nik Shahidah Afifi

    Published 2023
    “…Alternatively, variable length searching enables searching within the variable length of the solution space, which leads to more optimality and less computational load. The literature contains various meta-heuristic algorithms with variable length searching. …”
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  9. 9
    A systematic review on emperor penguin optimizer

    A systematic review on emperor penguin optimizer by Abdul Kader, Md., Kamal Z., Zamli, Ahmed, Bestoun S.

    Published 2021
    “…To-date, EPO has slowly gaining considerable momentum owing to its successful adoption in many broad range of optimization problems, that is, from medical data classification, economic load dispatch problem, engineering design problems, face recognition, multilevel thresholding for color image segmentation, high-dimensional biomedical data analysis for microarray cancer classification, automatic feature selection, event recognition and summarization, smart grid system, and traffic management system to name a few. …”
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  10. 10
    Short term load forecasting using a hybrid neural network

    Short term load forecasting using a hybrid neural network by Yap K.S., Abidin I.Z., Lim C.P., Shah M.S.

    Published 2023
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  11. 11
    An Implementation Framework Overview of Non-Intrusive Load Monitoring

    An Implementation Framework Overview of Non-Intrusive Load Monitoring by Omar Al-Khadher, Azharudin Mukhtaruddin, Fakroul Ridzuan Hashim, Hussin Mamat, Muhammad Mokhzaini Azizan

    Published 2024
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  12. 12
    Cognitive load assessment through EEG: a dataset from arithmetic and stroop tasks

    Cognitive load assessment through EEG: a dataset from arithmetic and stroop tasks by Nirabi, Ali, Abd Rahman, Faridah, Habaebi, Mohamed Hadi, Sidek, Khairul Azami, Yusoff, Siti Hajar

    Published 2025
    “…This study’s foundation is crucial for advancing stress classification research, with significant implications for cognitive function and well-being.…”
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  13. 13
    Feature extraction of power disturbance signal using time frequency analysis

    Feature extraction of power disturbance signal using time frequency analysis by Sihab, Norsabrina

    Published 2006
    “…Another problem is harmonics problem which is due to nonlinear loads and the source of fault is difficult to detect and diagnose. …”
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  14. 14
    Microgrid control methods toward achieving sustainable energy management

    Microgrid control methods toward achieving sustainable energy management by Roslan M.F., Hannan M.A., Ker P.J., Uddin M.N.

    Published 2023
    Review
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  15. 15
    Microgrid multi-distributed energy resources for power management network stability / Bilal Mouneir Saeed Eid

    Microgrid multi-distributed energy resources for power management network stability / Bilal Mouneir Saeed Eid by Bilal Mouneir, Saeed Eid

    Published 2016
    “…The voltage stability was improved at the load bus by maintaining the voltage within acceptable limits. …”
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  16. 16
    A New Thermographic NDT for Condition Monitoring of Electrical Components Using ANN with Confidence Level Analysis

    A New Thermographic NDT for Condition Monitoring of Electrical Components Using ANN with Confidence Level Analysis by A. S. N., Huda, S., Taib, Kamarul Hawari, Ghazali, M. S., Jadin

    Published 2014
    “…Faults in electrical system show overheating of components which is a common indicator of poor connection, overloading, load imbalance or any defect. Thermographic inspection is employed for finding such heat related problems before eventual failure of the system. …”
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  17. 17
    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa

    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa by Isa, Iza Sazanita

    Published 2018
    “…Overall, the software provides good ability in identifying and classifying various loads of WMH. The software managed to achieve high capability to automatically identify WMH loads as closed as the manually delineated WMH by radiologist with more than 70% correlation. …”
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  18. 18
    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa

    An automated multimodal white matter hyperintensities identification in MRI brain images using image processing / Iza Sazanita Isa by Isa, Iza Sazanita

    Published 2018
    “…Overall, the software provides good ability in identifying and classifying various loads of WMH. The software managed to achieve high capability to automatically identify WMH loads as closed as the manually delineated WMH by radiologist with more than 70% correlation. …”
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