Search Results - (( intelligence based new algorithm ) OR ( intelligence system means algorithm ))

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    Computational intelligence based power tracing for nondiscriminatory losses charge allocation and voltage stability improvement. / Zulkifli Abdul Hamid by Abdul Hamid, Zulkifli

    Published 2013
    “…Without treating the power system to be lossless, the tracing results are based on actual system condition; which means that they are consistent. …”
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    Book Section
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    An attack proof intelligent digital watermarking based on safe region of fast fourier transform by Olanrewaju, Rashidah Funke, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Aburas, A. A.

    Published 2010
    “…We propose a method, an attack proof intelligent system, in which Artificial Neural network is use to locate the Safe Region in the host image and the watermark is embedded based on the located Safe Region in Fast Fourier Transform domain. …”
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    Proceeding Paper
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    Employing Artificial Intelligence to Minimize Internet Fraud by Wong, E.S.K.

    Published 2009
    “…Currently, even with advances in computing techniques, near human levels of intelligence is not the strength of any computing system, yet techniques are available which may reduce the occurrences of fraud, and are usually referred to as artificial intelligence systems. …”
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    Article
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    Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid by Abdul Hamid, Zulkiffli

    Published 2013
    “…Without treating the power system to be lossless, the tracing results are based on actual system condition; which means that they are consistent. …”
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    Thesis
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    Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid by Abdul Hamid, Zulkiffli

    Published 2013
    “…Without treating the power system to be lossless, the tracing results are based on actual system condition; which means that they are consistent. …”
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    Thesis
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    The development of a tracking algorithm for ambulance detection using squaring of RGB and HSV color processing techniques by Mohammad Syawaludin Syafiq, Hassan

    Published 2016
    “…In this study, a tracking algorithm is developed by means of image processing technique in detecting ambulance. …”
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    Thesis
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    Optic cup and optic disc segmentation using improved selfish gene algorithm / Norharyati Md Ariff by Md Ariff, Norharyati

    Published 2016
    “…In addition, this new algorithm is compared to color channel multi-thresholding segmentation and artificial intelligence segmentation based clustering method such as Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy cMeans (FCM). …”
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    Thesis
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    Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines by Aker, Elhadi Emhemed Alhaaj Ammar

    Published 2020
    “…The intelligent algorithm ML-ADR fault classifier model could discriminate 10 different far-end short circuit fault types from two network topology changes with and without midpoint integrated STATCOM on the Matlab/Simulink power grid system model. …”
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    Thesis
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    Improved bacterial foraging optimization algorithm with machine learning-driven short-term electricity load forecasting: a case study in peninsular Malaysia by Zaini, Farah Anishah, Sulaima, Mohamad Fani, Wan Abdul Razak, Intan Azmira, Othman, Mohammad Lutfi, Mokhlis, Hazlie

    Published 2024
    “…Thus, these parameters of LSSVM need to be chosen appropriately using intelligent optimization algorithms. This study proposes a new hybrid model based on the LSSVM optimized by the improved bacterial foraging optimization algorithm (IBFOA) for forecasting the short-term daily electricity load in Peninsular Malaysia. …”
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    Article
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    Improved bacterial foraging optimization algorithm with machine learning driven short term electricity load forecasting: A case study in Peninsular Malaysia by Sulaima, Mohamad Fani, Zaini, Farah Anishah, Wan Abdul Razak, Intan Azmira, Othman, Mohammad Lutfi, Mokhlis, Hazlie

    Published 2024
    “…Thus, these parameters of LSSVM need to be chosen appropriately using intelligent optimization algorithms. This study proposes a new hybrid model based on the LSSVM optimized by the improved bacterial foraging optimization algorithm (IBFOA) for forecasting the short‑term daily electricity load in Peninsular Malaysia. …”
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    Article
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    A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction by Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem

    Published 2013
    “…This paper presents a computational intelligence hybrid model to overcome some of the limitations of the standalone type-2 fuzzy logic system (T2FLS) model by using a least-square-fitting-based model selection algorithm to reduce the dimensionality of the input data while selecting the best variables. …”
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    Article
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    A speech enhancement framework using discrete Krawtchouk-Tchebichef Transform by Mahmmod, Basheera M.

    Published 2018
    “…It is based on the Minimum Mean Square Error (MMSE) and the low-distortion approaches. …”
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    Thesis