Search Results - (( quality classification using algorithm ) OR ( program implementation phase algorithm ))

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  1. 1
    Implementing frequency translation by adapting digital phase shifter for WCDMA using XILINX: article

    Implementing frequency translation by adapting digital phase shifter for WCDMA using XILINX: article by Zakaria, Mohd Khalili

    Published 2009
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  2. 2
    PIC-Based Controller for IGBT Inverter for 3-Phase Motor Drive

    PIC-Based Controller for IGBT Inverter for 3-Phase Motor Drive by SUSETYO, BIANLALA

    Published 2011
    “…This project covers the controller mechanism and algorithm for IGBT inverter in 3-phase motor implementation. …”
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  3. 3
    Implementation frequency translation by adapting digital phase shifter for WCDMA using XILINX

    Implementation frequency translation by adapting digital phase shifter for WCDMA using XILINX by Zakaria, Mohd Khalili

    Published 2009
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  4. 4
    Classification model for water quality using machine learning techniques

    Classification model for water quality using machine learning techniques by Azilawati, Rozaimee, Azrul Amri, Jamal, Azwa, Abdul Aziz

    Published 2015
    “…There is a need to resolve this problem for us to get good water that can be used for domestic purposes. This article proposes a suitable classification model for classifying water quality based on the machine learning algorithms. …”
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  5. 5
    Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis

    Dam haji game using A* search algorithm / Siti Farah Najwa Mukhlis by Mukhlis, Siti Farah Najwa

    Published 2017
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  6. 6
    Comparison of Logistic Regression, Random Forest, SVM, KNN Algorithm for Water Quality Classification Based on Contaminant Parameters

    Comparison of Logistic Regression, Random Forest, SVM, KNN Algorithm for Water Quality Classification Based on Contaminant Parameters by Teguh, Sutanto, Muhammad Rafli, Aditya, Haldi, Budiman, M.Rezqy, Noor Ridha, Usman, Syapotro, Noor, Azijah

    Published 2024
    “…This finding emphasizes that Stacking with Gradient Boosting provides much better performance in water quality classification compared to other models. This research provides new insights into the application of machine learning algorithms for water quality management as well as guidance for optimal algorithm selection.…”
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  7. 7
    Three-probe reflectometer algorithm for calculation of complex reflection coefficient of liquids / Aidil Saifan Abu Bakar

    Three-probe reflectometer algorithm for calculation of complex reflection coefficient of liquids / Aidil Saifan Abu Bakar by Abu Bakar, Aidil Saifan

    Published 2003
    “…This paper describes a technique for measurement of complex reflection coefficient of liquids using slotted line (implemented in waveguide form). In order to make precision measurement of magnitude and phase of reflection coefficient, the Three-Probe Reflectometer Algorithm has been used (which was implemented on the personal computer using Visual Basic 6 programming). …”
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  8. 8
    Interactive jigsaw puzzle using backtracking algorithm / Amizah Mohd Kamaruzaman

    Interactive jigsaw puzzle using backtracking algorithm / Amizah Mohd Kamaruzaman by Mohd Kamaruzaman, Amizah

    Published 2012
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  9. 9
    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad

    Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

    Published 2018
    “…Experimental results show that the developed methods and model are able to classify the Harumanis quality with accuracy of 79% using fuzzy classification based on shape and size.…”
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  10. 10
    Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Ahmad Firdaus Maliki

    Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Ahmad Firdaus Maliki by Maliki, Ahmad Firdaus

    Published 2021
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  11. 11
    Real-time power quality disturbance classification using convolutional neural networks

    Real-time power quality disturbance classification using convolutional neural networks by Husodo, Budi Yanto, Dalimi, Rinaldy, Ihsanto, Eko, Gunawan, Teddy Surya

    Published 2020
    “…Experimental results showed that the proposed algorithm produced a good result with the classification accuracy of 97.52% trained using 100 epochs. …”
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  12. 12
    DC-link capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm

    DC-link capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm by Mohd Zainuri, Muhammad Ammirrul Atiqi, Mohd Radzi, Mohd Amran, Che Soh, Azura, Mariun, Norman, Abd Rahim, Nasrudin

    Published 2016
    “…For hardware implementation, the proposed algorithm was programmed in TMS320F28335 digital signal processing board. …”
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  13. 13
    A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.]

    A novelty classification model for varied agarwood oil quality using the K-Nearest Neighbor algorithm / Aqib Fawwaz Mohd Amidon … [et al.] by Mohd Amidon, Aqib Fawwaz, Mohd Huzir, Siti Mariatul Hazwa, Mohd Yusoff, Zakiah, Ismail, Nurlaila, Taib, Mohd Nasir

    Published 2022
    “…Their services are used to sniff and evaluate each agarwood to determine if it is of high quality or not. …”
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  14. 14
    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms

    Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

    Published 2005
    “…The comparison showed that, the accuracy of the unsupervised classification map with value of 88.4% that was generated by using the cluster labelling algorithm was slightly more than the maximum-likelihood supervised classification map with value of 87.5%. …”
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  15. 15
    An adaptive ant colony optimization algorithm for rule-based classification

    An adaptive ant colony optimization algorithm for rule-based classification by Al-Behadili, Hayder Naser Khraibet

    Published 2020
    “…Ant-Miner is a variant of ant colony optimisation and a prominent intelligent algorithm widely use in rules-based classification. …”
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  16. 16
    CAR TRACTION CONTROL SYSTEM

    CAR TRACTION CONTROL SYSTEM by MOHD ISMAIL, ADIBAH

    Published 2007
    “…VHDL is used in FPGA - based implementation. The methodology includes designing the fuzzy logic controller, development of the algorithm and codes programming. …”
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  17. 17
    Design Optimization of 3-Phase Rectifier Power Transformers by Genetic Algorithm and Simulated Annealing

    Design Optimization of 3-Phase Rectifier Power Transformers by Genetic Algorithm and Simulated Annealing by K.S., Rama Rao, Md Hasan, Khairul Nisak

    Published 2008
    “…This paper presents the design optimization, by Genetic Algorithm (GA) and Simulated Annealing (SA), of a 3-phase rectifier power transformer supplying a dc load. …”
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  18. 18
    Agarwood oil quality classification using one versus all strategies in multiclass on SVM model / Aqib Fawwaz Mohd Amidon … [et al.]

    Agarwood oil quality classification using one versus all strategies in multiclass on SVM model / Aqib Fawwaz Mohd Amidon … [et al.] by Mohd Amidon, Aqib Fawwaz, Mahabob, Noratikah Zawani, Ismail, Nurlaila, Mohd Yusoff, Zakiah, Taib, Mohd Nasir

    Published 2021
    “…So, the output was the classification of quality between low, medium low, medium high or high quality while the input was the abundances (%) of compounds. …”
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  19. 19
    Hybrib NSGA-II optimization for improving the three-term BP network for multiclass classification problems

    Hybrib NSGA-II optimization for improving the three-term BP network for multiclass classification problems by Ibrahim, Ashraf Osman, Shamsuddin, Siti Mariyam, Qasem, Sultan Noman

    Published 2015
    “…This paper presents a hybrid of the multiobjective evolutionary algorithm to gain a better accuracy of the fi nal solutions.The aim of using the hybrid algorithm is to improve the multiobjective evolutionary algorithm performance in terms of the enhancement of all the individuals in the population and increase the quality of the Pareto optimal solutions.The multiobjective evolutionary algorithm used in this study is a nondominated sorting genetic algorithm-II (NSGA-II) together with its hybrid, the backpropagation algorithm (BP), which is used as a local search algorithm to optimize the accuracy and complexity of the three-term backpropagation (TBP) network. …”
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  20. 20
    Hybrid NSGA-II Optimization for Improving the Three-Term BP Network for Multiclass Classification Problems

    Hybrid NSGA-II Optimization for Improving the Three-Term BP Network for Multiclass Classification Problems by Ibrahim, Ashraf Osman, Shamsuddin, Siti Mariyam, Qasem, Sultan Noman

    Published 2015
    “…The aim of using the hybrid algorithm is to improve the multiobjective evolutionary algorithm performance in terms of the enhancement of all the individuals in the population and increase the quality of the Pareto optimal solutions. …”
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