Search Results - (( global distribution means algorithm ) OR ( parameters variation bat algorithm ))

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  1. 1

    Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers by Peddakapu, K., Mohd Rusllim, Mohamed, Srinivasarao, P., Arya, Yogendra

    Published 2024
    “…Simulation results reveal that the AOA-based CFOID-FOPIDN outperforms other existing algorithms, such as particle swarm optimization (PSO), bat algorithm (BAT), moth flame optimization (MFO), and whale optimization algorithm (WOA). …”
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    Article
  2. 2

    Optimized controllers for stabilizing the frequency changes in hybrid wind-photovoltaic-wave energy-based maritime microgrid systems by Peddakapu, K., Mohd Rusllim, Mohamed, Srinivasarao, P., Licari, J.

    Published 2024
    “…The AOA-based 2DOF-TIDN performance is compared to the following algorithms: genetic, Jaya, bat, grasshopper optimization, particle swarm optimization, and moth flame optimization. …”
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  3. 3

    A decomposed streamflow non-gradientbased artificial intelligence forecasting algorithm with factoring in aleatoric and epistemic variables / Wei Yaxing by Wei , Yaxing

    Published 2024
    “…Given the multitude of components to manage, streamflow forecasting is preferable to employ an algorithm with low sensitivity to parameter variations. …”
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    Thesis
  4. 4

    Deriving global and local integrity rules for a distributed database by Ibrahim, Hamidah

    Published 2001
    “…Our technique referred to as the integrity test generation, derives global and local integrity rules has effectively reduced the cost of constraint checking in a distributed environment.…”
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    Article
  5. 5

    Efficient genetic partitioning-around-medoid algorithm for clustering by Garib, Sarmad Makki Mohammed

    Published 2019
    “…One of the main issues in genetic k-means based algorithms is their sensitivity to outliers and unevenly distributed clusters due to the mean compromised computations. …”
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    Thesis
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    Tracking moving targets in wireless sensor networks using extended diffusion strategies of distributed Kalman filter by Solouk, Vahid, Taghizadeh, Hamid, Moghanjoughi, Ayyoub Akbari, Razm, S. K.

    Published 2013
    “…As a simulation study, we applied the algorithms in a network to track the position and speed of a projectile and compared the results with real world circumstances, using the concept of transient mean square deviations of network as a cost function. …”
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    Conference or Workshop Item
  9. 9

    Frequency deviations stabilizations in restructured power systems using coordinative controllers by Kurukuri, Peddakapu

    Published 2021
    “…The robustness of the suggested controller has been verified by ±25% variations in system parameters and loading conditions.…”
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  10. 10

    Efficient bandwidth allocation methods in upstream EPON by Sadon S.K., Din N.M., Radzi N.A., Yaacob M.B., Maier M., Al-Mansoori M.H.

    Published 2023
    “…PON Dynamic Bandwidth Allocation (DBA) scheme provides the means for upstream traffic allocation. In this paper, the operation of several bandwidth allocation algorithms in upstream Ethernet PON (EPON) is presented. …”
    Book Chapter
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    Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia by San, Limhwee

    Published 2006
    “…The developed algorithms are two-band algorithm, terma linear and modified algorithm from the combination of the visible and infrared thermal bands. …”
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    Multi-objective portfolio selection with skewness preference: An application to the stock and electricity markets / Karoon Suksonghong by Karoon, Suksonghong

    Published 2014
    “…The mean-variance (MV) efficient portfolios (Markowitz, 1952) are obtained by searching for portfolios that attain the global minimum variance at a given level of expected return. …”
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    Thesis
  15. 15

    A new variant of black hole algorithm based on multi population and levy flight for clustering problem by Haneen Abdul Wahab, Abdul Raheem

    Published 2020
    “…Partitioning-based type of clustering algorithms, such as K-means, is prone to the problem of producing a set of clusters that is far from perfect due to its probabilistic nature. …”
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    Thesis
  16. 16

    Analysis and decentralised optimal flow control of heterogeneous computer communication network models by Ku-Mahamud, Ku Ruhana

    Published 1993
    “…The direct dependence of the maximum throughput on the mean time delay is also determined. The optimal local flow control with global objectives results in a team decision that does not favour any individual user, and depends only on the relative order of their packet generation rates. …”
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    Thesis
  17. 17

    Spatiotemporal extraction of aquaculture ponds under complex surface conditions based on deep learning and remote sensing indices by Qin, Weirong, Ismail, Mohd Hasmadi, Ramli, Mohammad Firuz, Deng, Junlin, Wu, Ning

    Published 2025
    “…When different numbers of mean distribution points are used to calculate the indices, it is found that the highest R2 value can be achieved when using the coefficient value corresponding to 600 points, and an accuracy of 94% can be achieved by the CWI method for water surface classification. …”
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    Article
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    Development of a New Modeling Circuit for the Remote Terminal Unit (RTU) with GSM Communication by Ab Ghani, Mohd Ruddin, Wan Hassan, Wan Ahmas Redhauddin, Mat Hanafiah, Mohd Ariff, Raman, Siti Hajar

    Published 2013
    “…The design proposed based on Global System for Mobile (GSM) communication and this paper also presents as efficient design for distribution automation system and its implementation in remote/automatic monitoring and controlling of the relays (circuit breaker) by means of GSM Short Message Service (SMS) services, automatic decision making and continuous monitoring of distribution system components in real time. …”
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    Conference or Workshop Item
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    ANALYSIS OF HYBRID SOLAR AND WIND POWER GENERATION SYSTEMS by CHOO, CHEE YEAK

    Published 2022
    “…Furthermore, the unstable power distribution is solved by optimizing the output power using relevant mathematical algorithms. …”
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    Final Year Project Report / IMRAD