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  1. 1

    Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

    Published 2004
    “…An Intelligent Learning System for the turning process was developed. Visual C++ object-oriented programming language was used to build the Intelligent Learning System for Turning. …”
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    Thesis
  2. 2

    Optimization of Tool Wear using Coupled RSM-GA Approach in Turning of Stainless Steel AISI 304 with Magnetic Damping of Tool Shank by Amin, A. K. M. Nurul, Subir, Siti Aminatuzzuhriyah B. Haji, Arif, Muammer Din

    Published 2015
    “…Finally, an empirical quadratic mathematical model of tool wear was found. This model was then used as the objective function in the optimization of tool wear using genetic algorithms (GA). …”
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    Article
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    Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process by Kong, Hong Shim

    Published 2008
    “…A neural-fuzzy model has been developed to represent machinability data selection in turning process. …”
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    Thesis
  5. 5

    Urban planning and indicators for sustainability by Abdul Hadi Harman Shah

    Published 2002
    “…Various tools from policies to design and mathematical model algorithms are used as decision support tools at all levels of planning. …”
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    Article
  6. 6

    A critical analysis of simulators in grid by Dakkak, Omar, Che Mohamed Arif, Ahmad Suki, Awang Nor, Shahrudin

    Published 2015
    “…Out of this, the developers have spent remarkable efforts to come up with simulators which facilitate the studies in this domain.In addition, these simulators have a significant role in enhancing and proposing many scheduling algorithms, and this in turn has reflected efficiently on the Grid.In this paper, we will present some of these tools, which are: GridSim for large scales distributed computing and parallel environment, Alea for tackling dynamic scheduling problems, Sim-G-Batch grid simulator for simulating the security and energy concept and Balls simulator for evaluation peer-to-peer with integrated load balancing algorithm.Furthermore, this paper aims to guide and assist the researcher to choose the proper tool that can fit the studied research area, by providing functionality analysis for the reviewed simulators.…”
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    Article
  7. 7

    Development of tool life prediction model of TiAlN coated tools during the high speed hard milling of AISI H13 steel by Amin, A. K. M. Nurul, Hafiz, A.M. Khalid, Lajis, M. A.

    Published 2011
    “…In this context, in present study, an appropriate model for effective prediction of tool life has been developed during the high speed end milling of H13 tool steel using PVD-TiAlN coated tool inserts. …”
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    Book Chapter
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    Development of effluent removal prediction model efficiency in septic sludge treatment plant through clonal selection algorithm by Sie Chun, Ting, Ismail , Amelia Ritahani, A. Malek, Marlinda

    Published 2013
    “…This study aims at developing a novel effluent removal management tool for septic sludge treatment plants (SSTP) using a clonal selection algorithm (CSA). …”
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    Article
  10. 10

    Development of Graphical User Interface (GUI) for Antenna Design by Cheow , Yeng Peng

    Published 2016
    “…Besides, the introduction of new antenna elements has added to the complexity of antenna, which in turn slower down the antenna design process. Thus, GUI is a crucial tool to speed up the antenna design process, at the same time providing the synthesis and analysis of antenna performance. …”
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    Final Year Project
  11. 11

    Development of effluent removal prediction model efficiency in septic sludge treatment plant through clonal selection algorithm by Ting S.C., Ismail A.R., Malek M.A.

    Published 2023
    “…This study aims at developing a novel effluent removal management tool for septic sludge treatment plants (SSTP) using a clonal selection algorithm (CSA). …”
    Article
  12. 12

    Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

    Published 2023
    “…A number of popular existing algorithms were used to execute the model developed in Rapid tool such as Naïve Bayes , Neural Net , Deep Learning, Decision Tree, Logistic Regression, SVM and k-NN. …”
    text::Thesis
  13. 13

    Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems by Mohd Helmi, Suid

    Published 2024
    “…In response to this imperative, researchers have increasingly turned to optimization-based approaches, with the Sine Cosine Algorithm (SCA) emerging as a prominent solution. …”
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    Thesis
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    Design and development of a digging device for harvesting sweet potato by Hamid, Md. Akhir

    Published 2010
    “…The tractor power requirement was estimated by Algorithm analysis and tool draft force predicted by Hettiaratchi and Reece’s model. …”
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    Thesis
  16. 16

    A new method of correcting uneven illumination problem in fundus images by Aibinu, Abiodun Musa, Iqbal, Muhammad Imran, Nilsson, Mikael, Salami, Momoh Jimoh Emiyoka

    Published 2007
    “…Recent advancements in signal and image processing have reduced the time of diagnoses, effort and pressure on the screeners by providing auto diagnostic tools for different diseases. The success rate of these tools greatly depend on the quality of acquired images. …”
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    Proceeding Paper
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    DeepPulmoTB: a benchmark dataset for multi-task learning of tuberculosis lesions in lung computerized tomography (CT) by Tan, Zhuoyi, Madzin, Hizmawati, Norafida, Bahari, ChongShuang, Yang, Sun, Wei, Nie, Tianyu, Cai, Fengzhou

    Published 2024
    “…Currently, the available annotations in TB CT datasets are still limited, which in turn restricts the development of CAD tools for TB diagnosis to some extent. …”
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    Article
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    Robust correlation feature selection based support vector machine approach for high dimensional datasets by Baba, Ishaq Abdullahi, Mohammed, Mohammed Bappah, Jillahi, Kamal Bakari, Umar, Aliyu, Hendi, Hasan Talib

    Published 2025
    “…The third step employs the support vector machine algorithm to calculate prediction values. To demonstrate the effectiveness of the developed procedure, we used both simulation and real-life data examples. …”
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    Article