Search Results - (( regional distribution rate algorithm ) OR ( parameters variation tree algorithm ))

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  1. 1
    Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network

    Decision tree method for fault causes classification based on RMS-DWT analysis in 275 kV transmission lines network by Asman, Saidatul Habsah, Ab Aziz, Nur Fadilah, Ungku Amirulddin Al Amin, Ungku Anisa, Ab Kadir, Mohd Zainal Abidin

    Published 2021
    “…The proposed method was carried out in the MATLAB/SIMULINK programming platform based upon the information made with the fault analysis of the 275 kV sample transmission line considering wide variations in the operating conditions. The classifier performance of different parameters was also compared in a confusion matrix form to obtain the best classification results of the decision tree.…”
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  2. 2
    Decision tree method for fault causes classification based on rms-dwt analysis in 275 kv transmission lines network

    Decision tree method for fault causes classification based on rms-dwt analysis in 275 kv transmission lines network by Asman S.H., Aziz N.F.A., Amirulddin U.A.U., Kadir M.Z.A.A.

    Published 2023
    “…The proposed algorithm is based upon the root mean square (RMS) current duration, voltage dip, and discrete wavelet transform (DWT) measured at the sending end of a line and the decision tree method, a commonly accessible measurable method. …”
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  3. 3
    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC

    REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC by ABDELRAHMAN ELAMIN, ABDELRAHMAN ELAMIN

    Published 2011
    “…The partitioning allows allocation of appropriate DVC coding parameters (virtual channel, rate, and quantizer) to each region. The resulting regions map is compressed by employing quadtree algorithm and communicated to the encoder via the feedback channel. …”
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  4. 4
    Expression invariant face recognition using multi-stage 3D face fitting with 3D morphable face model

    Expression invariant face recognition using multi-stage 3D face fitting with 3D morphable face model by Alomari, Abdallah A., Khalid, Fatimah, O. K. Rahmat, Rahmita Wirza, Abdullah, Muhamad Taufik

    Published 2010
    “…This proposed model will show good results when shape, texture and extrinsic variations occur in the 3D domain since the combination of multistage fitting algorithm and tree model can enhance the speed and accuracy of the system recognition capabilities. …”
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  5. 5
    Characterisation of pineapple cultivars under different storage conditions using infrared thermal imaging coupled with machine learning algorithms

    Characterisation of pineapple cultivars under different storage conditions using infrared thermal imaging coupled with machine learning algorithms by Mohd Ali, Maimunah, Hashim, Norhashila, Abd Aziz, Samsuzana, Lasekan, Ola

    Published 2022
    “…A total of 14 features from the thermal images were obtained to determine the variation in terms of image parameters among the different pineapple cultivars. …”
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  6. 6
    Development of lung cancer prediction system using meta-heuristic optimized deep learning model

    Development of lung cancer prediction system using meta-heuristic optimized deep learning model by Mohamed Shakeel, Pethuraj

    Published 2023
    “…The algorithm detects the affected region depending on pixel similarity computation process. …”
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  7. 7
    A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy

    A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy by Qing, Zhang, Abdullah, Abdul Rashid, Choo, Wei Chong, Ali, Mass Hareeza

    Published 2022
    “…Gross domestic product (GDP) is an important indicator for determining a country’s or region’s economic status and development level, and it is closely linked to inflation, unemployment, and economic growth rates. …”
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  8. 8
    Building detection using object-based Image analysis (OBIA) and machine learning (ML) algorithms / Hanani Mohd Shahar

    Building detection using object-based Image analysis (OBIA) and machine learning (ML) algorithms / Hanani Mohd Shahar by Mohd Shahar, Hanani

    Published 2020
    “…In order to obtain a good classification accuracy, the suitable segmentation parameters (scale, shape and compactness) and features selection have been determined and Machine learning (ML) algorithms, namely Support Vector Machine (SVM) and Decision Tree (DT) classifiers have been applied to categorized five different classes which are water, forest, green area, building, and road. …”
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  9. 9
    Identification of non-equilibrium growth for bitcoin exchange rate: mathematical derivation method in Islamic financial engineering

    Identification of non-equilibrium growth for bitcoin exchange rate: mathematical derivation method in Islamic financial engineering by Rosbi, Sofian, Abu Bakar, Nashirah

    Published 2017
    “…Result indicates that the growth of Bitcoin exchange rate in moving towards non-equilibrium point. This concludes that the growth of the Bitcoin exchange rate is in unstable region. …”
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  10. 10
    Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm

    Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm by Ahmad Fakhri, Ab. Nasir, Ahmad Shahrizan, Abdul Ghani, Muhammad Aizzat, Zakaria, Anwar, P. P. Abdul Majeed, Ahmad Najmuddin, Ibrahim

    Published 2019
    “…In the empirical experiment by using this algorithm, some region in the image which is supposed to be non-face region is detected as face due to the similarity of human face features. …”
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  11. 11
    A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem

    A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem by Mohd Pozi, Muhammad Syafiq

    Published 2016
    “…Algorithmic level based methods however are based on introducing new optimization task to improve the minority class classification rate, without changing the data characteristics. …”
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  12. 12
    A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking

    A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini, Salami, Momoh Jimoh Eyiomika, Shafie, Amir Akramin, Bouhabba, El Mehdi

    Published 2010
    “…The system combines two algorithms to achieve better detection rate for hand. …”
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  13. 13
    FACTORS INFLUENCING THE INTENTION TO ADOPT E-WALLET: A REGIONAL DISTRIBUTION PERSPECTIVE IN MALAYSIA

    FACTORS INFLUENCING THE INTENTION TO ADOPT E-WALLET: A REGIONAL DISTRIBUTION PERSPECTIVE IN MALAYSIA by Liew, Vernon, Poh, Phaik See

    Published 2022
    “…In contrary, enhancing user experience of the e-wallet adopters in terms of ease of use and usefulness is the ultimate key. Regional distribution findings showed that Northern Region (Perlis, Kedah, Penang, and Perak) has the highest e-wallet adoption rate of 94.4%, followed closely by Central Region (Selangor, Federal Territory of Kuala Lumpur, and Putrajaya) at 92.3%. …”
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  14. 14
    Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques

    Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques by Farhan, Farhan Abdel-Fattah Ahmad

    Published 2011
    “…The proposed model has distributed and cooperative hierarchical architecture, where nodes communicate with their region gateway node to make decisions. …”
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  15. 15
    Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line

    Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line by Olufemi, Osaji Emmanuel

    Published 2020
    “…The Random Tree standalone ML-AP relay model presented the best performing models from the ML-APS relay model with the best average performance for the correctly classified fault types of 97.61 % at 5 % significance level above other ML algorithms. …”
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  16. 16
    Parametric analysis of critical buckling in composite laminate structures under mechanical and thermal loads: a finite element and machine learning approach

    Parametric analysis of critical buckling in composite laminate structures under mechanical and thermal loads: a finite element and machine learning approach by Shabbir Ahmed, Omar, Syed Mohamed Ali, Jaffar, Aabid, Abdul, Hrairi, Meftah, Mohd Yatim, Norfazrina Hayati

    Published 2024
    “…Subsequently, simulation data from numerous cases are utilized to identify the best parameter combination using machine learning algorithms. …”
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  17. 17
    Skin Colour Detection Based On An Adaptive Multi-Thresholding Technique

    Skin Colour Detection Based On An Adaptive Multi-Thresholding Technique by Mharib, Ahmed M.

    Published 2007
    “…The results show that the average of the correct rate “True Positive” rate for the test images is equal to 94.064% while the False Positive average is equal to 13.166%.…”
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  18. 18
    Modified strut-and-tie models for reinforced concrete deep beams with externally bonded CFRP systems

    Modified strut-and-tie models for reinforced concrete deep beams with externally bonded CFRP systems by Hanoon, Ammar Nasiri

    Published 2017
    “…Moreover, the particle swarm optimization (PSO) algorithm was used to search for the optimum set of unknown coefficients which are stress distribution and concrete tensile reduction factors. …”
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  19. 19
    Determinants and prediction of home nursing utilization among older adults in China: an integration of logistic regression and XGBoost algorithm

    Determinants and prediction of home nursing utilization among older adults in China: an integration of logistic regression and XGBoost algorithm by Zhao, Jing, Du, Xiao Fei, Lin, Jun, Guo, Wei Wei, Wang, Shao Peng, Yang, Fan

    Published 2026
    “…Interactions, including the influence of region type and chronic disease count, life satisfaction and home visit access, self-rated health and region type, home visit access and family support count, further highlighted the complexity of home nursing utilization. …”
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  20. 20
    Species distribution and molecular variations in drogonflies (order: odonata) within the state of Selangor, Malaysia / Noorhidayah Binti Mamat

    Species distribution and molecular variations in drogonflies (order: odonata) within the state of Selangor, Malaysia / Noorhidayah Binti Mamat by Noorhidayah, Mamat

    Published 2013
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