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  1. 1
    Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm

    Cutting temperature and surface roughness optimization in CNC end milling using multi objective genetic algorithm by Al Hazza, Muataz, Adesta, Erry Yulian Triblas, Superianto, M. Y., Riza, Muhammad

    Published 2012
    “…The mathematical models for the cutting temperature and surface roughness parameters have been developed, in terms of cutting speed, feed rate, and axial depth of cut by using Response Methodology Method (RSM). …”
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  2. 2
    Improvement of surface roughness in end milling of Ti6Al4V by coupling RSM with genetic algorithm

    Improvement of surface roughness in end milling of Ti6Al4V by coupling RSM with genetic algorithm by Patwari, Muhammed Anayet Ullah, Amin, A. K. M. Nurul, Alam, Md. Shah

    Published 2011
    “…MATLAB 7.0 toolbox for GA is used to develop GA program. The predicted results are in good agreement with the experimental one and hence the model can be efficiently used to achieve the minimum surface roughness value. …”
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  3. 3
    Thin Film Roughness Optimization In The Tin Coatings Using Genetic Algorithms

    Thin Film Roughness Optimization In The Tin Coatings Using Genetic Algorithms by Fauzi, Nur Faiqah, Mohamad Jaya, Abdul Syukor, Mohammad Jarrah, Mu’ath Ibrahim, Akbar, Habibullah

    Published 2017
    “…Genetic algorithms were used in the optimization work of the coating process to optimize the coating roughness parameters. …”
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  4. 4
    Validation on 3D surface roughness algorithm for measuring roughness of psoriasis lesion

    Validation on 3D surface roughness algorithm for measuring roughness of psoriasis lesion by Ahmad Fadzil, M Hani, Prakasa, Esa, Nugroho, Hermawan, Affandi, Azura Mohd, Hussein, Suraiya Hussein

    Published 2010
    “…Roughness index is calculated by using average roughness equation to the height map matrix. …”
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  5. 5
    Surface roughness optimization in end milling using the multi objective genetic algorithm approach

    Surface roughness optimization in end milling using the multi objective genetic algorithm approach by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Riza, Muhammad, Mohammad Yuhan, Suprianto

    Published 2012
    “…The mathematical models for the surface roughness parameters have been developed, in terms of cutting speed, feed rate, and axial depth of cut by using Response Methodology Method (RSM). …”
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  6. 6
    Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coated WC-co inserts

    Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coate... by Ishtiyaq, M. H., Amin, A. K. M. Nurul, Karim, A.N. Mustafizul, Ginta, Turnad Lenggo, Patwari, Muhammed Anayet Ullah

    Published 2007
    “…This paper presents an efficient method of optimisation of surface roughness in end milling of Inconel 718 using TiAlN coated inserts under dry conditions by coupling response surface methodology (RSM) with genetic algorithm (GA). …”
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  7. 7
    3D surface roughness measurement for scaliness scoring of psoriasis lesions

    3D surface roughness measurement for scaliness scoring of psoriasis lesions by Ahmad Fadzil, M.H., Prakasa, E., Asirvadam, V.S., Nugroho, H., Affandi, A.M., Hussein, S.H.

    Published 2013
    “…Clustering algorithms were used to classify the surface roughness measured using the proposed assessment method for PASI scaliness scoring. …”
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  8. 8
    A framework of rough cultural algorithms in optimizing mobile web caching performance

    A framework of rough cultural algorithms in optimizing mobile web caching performance by Sulaiman, Sarina, Shamsuddin, Siti Maryam, Abraham, Ajith, Sulaiman, Shahida

    Published 2007
    “…Consequently, The proposed caching scheme, Rough Cultural Algorithm (RCA) is developed to materialise the caching policies.…”
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  9. 9
    Comparing seabed roughness result from QPS fledermaus software, benthic trrain modeler [BTM] and developed model derived FRM slope variability algorithm for hard coral reef detection / Nur Asikin Mohd Sayud

    Comparing seabed roughness result from QPS fledermaus software, benthic trrain modeler [BTM] and developed model derived FRM slope variability algorithm for hard coral reef detecti... by Mohd Sayud, Nur Asikin

    Published 2018
    “…In this study, rugosity is been developed by using QPS Fledermaus software. In ArcGlS software, DEM data will be process by using terrain roughness model that has been derived by using Slope Variability algorithm. …”
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  10. 10
    Prediction and investigation of surface response in high speed end milling of Ti-6Al-4V and optimization by genetic algorithm

    Prediction and investigation of surface response in high speed end milling of Ti-6Al-4V and optimization by genetic algorithm by Alam, Md. Shah, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah, Konneh, Mohamed

    Published 2010
    “…The developed quadratic prediction model on surface roughness was coupled with the genetic algorithm to optimize the cutting parameters for the minimum surface roughness.…”
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  11. 11
    Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end milling of Inconel 718 using coated WC-Co inserts

    Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end milling of Inconel 718 using coate... by Ishtiyaq, M. H., Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

    Published 2011
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  12. 12
    Development of an artificial neural network algorithm for predicting the surface roughness in end milling of inconel 718 alloy

    Development of an artificial neural network algorithm for predicting the surface roughness in end milling of inconel 718 alloy by Hossain, Mohammad Ishtiyaq, Amin, A. K. M. Nurul, Patwari, Anayet Ullah

    Published 2008
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  13. 13
    Predicting Accuracy of Income a Year Using Rough Set Theory

    Predicting Accuracy of Income a Year Using Rough Set Theory by Zuraihah, Ngadengon

    Published 2009
    “…In the experiments, the prediction of accuracy of the Adult dataset is developed by using rough set theory and Rosetta software while Knowledge Data Discovery (KDD) is used as the methodology. …”
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  14. 14
    A binary logarithm similarity measure with roughness approximation of rough neutrosophic set for Covid 19 cases / Muhammad Naim Haikal Yaso' and Hazlin Shahira Ramlee

    A binary logarithm similarity measure with roughness approximation of rough neutrosophic set for Covid 19 cases / Muhammad Naim Haikal Yaso' and Hazlin Shahira Ramlee by Yaso', Muhammad Naim Haikal, Ramlee, Hazlin Shahira

    Published 2022
    “…The roughness approximation for a rough neutrosophic set is used to compare the similarity results. …”
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  15. 15
    A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition

    A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition by Babiker, Elsadig Ahmed Mohamed

    Published 2002
    “…Classification rules were generated from training feature vectors set, and a modified form of the standard voter classification algorithm, that use the rough sets generated rules, was applied. …”
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  16. 16
    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition

    Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition by Ali Adlan, Hanan Hassan

    Published 2004
    “…A novel feature extraction algorithm was developed to extract the feature vectors. …”
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  17. 17
    Computation of scale-independent surface roughness via the generation of multiscale digital elevation models

    Computation of scale-independent surface roughness via the generation of multiscale digital elevation models by A.F.M., Hani, V.S., Asirvadam, D., Sathyamoorthy

    Published 2008
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  18. 18
    Multi objective optimisation for high speed end milling using simulated annealing algorithm

    Multi objective optimisation for high speed end milling using simulated annealing algorithm by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Shaffiar, Norhashimah, Seder, Amin M. F., Riza, Muhammad

    Published 2015
    “…The mathematical models have been developed, in terms of cutting speed, feed rate, and axial depth of cut by using Response surface Methodology (RSM). …”
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  19. 19
    Graphical user interface for surface roughness prediction of CNC milling machine / Muhammad Qayyum Nor Asffan

    Graphical user interface for surface roughness prediction of CNC milling machine / Muhammad Qayyum Nor Asffan by Nor Asffan, Muhammad Qayyum

    Published 2020
    “…In this research, MATLAB Graphical User Interface (GUI) is used to develop a user- friendly program that can predict surface roughness of Aluminium 6061 in CNC milling machine. …”
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  20. 20
    Machining surface roughness monitoring using acoustic emission method

    Machining surface roughness monitoring using acoustic emission method by Mohd Syazlan, Mohd Hatta

    Published 2010
    “…From all data collected (energy, counts, power spectrum density, Ra), algorithm for surface roughness monitoring can be made and be used in industry. …”
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    Undergraduates Project Papers
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