Search Results - (( java implication based algorithm ) OR ( using quality machine algorithm ))

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  1. 1

    The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed by Ridwan M.A., Radzi N.A.M., Azmi K.H.M., Ahmad A., Abdullah F., Ahmad W.S.H.M.W.

    Published 2024
    “…Due to network complexity, conventional QoS-improving routing algorithms (RAs) may be impractical. Thus, researchers are developing intelligent RAs, including machine learning (ML)-based algorithms to meet traffic Q oS r equirements. …”
    Conference Paper
  2. 2

    Neural Network Multi Layer Perceptron Modeling For Surface Quality Prediction in Laser Machining by Sivarao, Subramonian

    Published 2009
    “…The researchers conducted the prediction of laser machining quality, namely surface roughness with seven significant parameters to obtain singleton output using machine learning techniques based on Quick Back Propagation Algorithm. …”
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    Book Chapter
  3. 3
  4. 4

    Modeling, Testing and Experimental Validation of Laser Machining Micro Quality Response by Artificial Neural Network by Sivarao, Subramonian

    Published 2009
    “…Therefore, prediction of laser machining cut quality, namely surface roughness was carried out using machine learning techniques based on Quick Back Propagation Algorithm using ANN. …”
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    Article
  5. 5

    New approach to analysis machine learning base power quality in a test grid system by Salam, S M, Rashid, Muhammad Mahbubur, Ali, M Y, Yvette, S

    Published 2024
    “…This study presents a novel approach to power quality analysis in various power systems, using machine learning algorithms. …”
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    Proceeding Paper
  6. 6

    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 study compares four machine learning algorithms Logistic Regression, Random Forest, Support Vector Machine (SVM), and K-Nearest Neighbors (KNN) in water quality classification based on contaminant parameters. …”
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    Article
  7. 7

    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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    Article
  8. 8
  9. 9

    Quality checking and inspection based on machine vision technique to determine tolerance value using single ceramic cup by Mohd Ali, Nursabillilah, Karis, Mohd Safirin, Wong, Gao Jie, Bahar, Mohd Bazli, Sulaiman , Marizan, Mat Ibrahim, Masrullizam, Zainal Abidin, Amar Faiz

    Published 2016
    “…The development of an algorithm for inspection and quality checking using machine vision was discussed in this paper, in which the design of the algorithm is to detect the sign of defect when a sample of the product is used for inspection purposes. …”
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    Article
  10. 10

    To study the multi-objective optimization of EDM using genetic algorithm by Fairuz, Idris

    Published 2013
    “…A machine such as EDM (electro discharge machine) used to produce a product that require an accurate product quality. …”
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    Undergraduates Project Papers
  11. 11
  12. 12

    Optimization machining parameters in pocket milling using genetic algorithm and mastercam by Abdullah, Haslina, Isa, Nurshafinaz, Zakaria, Mohamad Shukri

    Published 2023
    “…Mastercam software has been used to verify the algorithm's results by applying the optimum parameter generated by GA in the Mastercam. …”
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    Conference or Workshop Item
  13. 13

    Modeling of Laser Materials Processing by Artificial Neural Network Modeling and Experimental Validation by Sivarao, Subramonian

    Published 2010
    “…One such method is machine learning, which involves using a computer algorithm to capture hidden knowledge from data. …”
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    Book
  14. 14

    Octane number prediction for gasoline blends using convolution neural network / Zhu Yue by Zhu , Yue

    Published 2021
    “…Machine performance learning models depend to a large extant to the data quality used train the model. …”
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    Thesis
  15. 15

    Optimization of surface quality of mild steel machined by wire EDM using simulated annealing algorithm by Khan, Ahsan Ali, Al Hazza, Muataz Hazza Faizi, Che Daud, Mohd Radzi, Mohamad Kamal, Nor Shahirah

    Published 2016
    “…One of the main machining characteristics that play vital role in determining the quality of engineering components is surface integrity. …”
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    Proceeding Paper
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    GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms by Tella, A., Balogun, A.-L.

    Published 2021
    “…Although some studies have predicted air pollutants such as particulate matter (PM) using machine learning algorithms (MLAs), there is a paucity of studies on spatial hazard assessment with respect to the air quality index (AQI). …”
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    Article
  18. 18

    Optimization of milling parameters using ant colony optimization by Mohd Saupi, Mohd Sauki

    Published 2008
    “…These machining parameters significantly impact on the cost, productivity and quality of machining parts. …”
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    Undergraduates Project Papers
  19. 19

    Machine learning approach for automated optical inspection of electronic components by Lim, Siew Kee

    Published 2019
    “…Human visual inspection system has been traditionally used in electronic industry for quality control. …”
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    Final Year Project / Dissertation / Thesis
  20. 20

    Optimization of Machining Parameters in Turning for Different Hardness using Multi-Objective Genetic Algorithm by Mimi Muzlina, Mukri, Nor Atiqah, Zolpakar, Pathak, Sunil

    Published 2023
    “…Surface finish and temperature rise are the crucial machining outcomes since it determines the quality of the machining and the tool life. …”
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    Article