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An Improved Grey Wolf Optimization-based Learning of Artificial Neural Network for Medical Data Classification
Published 2021“…It has been used in numerous fields such as numerical optimization, engineering problems, and machine learning. …”
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42
Prediction of cutting force for milling of inconel 718 under cryogenic condition by response surface methodology / Nurul Hayati Abdul Halim...[et al.]
Published 2019“…Thereby, the numerical optimization suggested parameters of Vc: 140 m/min, fz: 0.25 mm/tooth, ap: 0.3 mm, and ae: 0.21 mm to be applied to achieve a cutting force as low as 117.72 N. …”
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43
Current and future challenges of hybrid electrochemical-mechanical machining process for micro- and nano-manufacturing
Published 2024“…Through empirical, analytical, and numerical optimization methods, HEMM’s performance can be fine-tuned to meet specific requirements. …”
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Conference or Workshop Item -
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Environmental and resource management plan for the proposed Tun Mustapha Park (TMP), Sabah, Malaysia
Published 2015“…The overall aim of this study is to assess the conservation planning process and the use of numerical optimization tool to achieve two Marine Protected Area (MPA) objectives, i.e. biodiversity conservation and fisheries management objectives, in a stakeholder driven MPA design process. …”
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Thesis -
45
A discrete simulated kalman filter optimizer for combinatorial optimization problems
Published 2022“…These algorithms were built specifically to address numerical optimization problems. In the last few decades, significant research effort has been spent on the development of numerical algorithms, particularly for solving combinatorial problems. …”
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Thesis -
46
Suitability of Using LA Abrasion Machine for the Nano Manufacturing of Palm Oil Fuel Ash and Incorporating in Mortar Mixture
Published 2023“…While, the response surface methodology’s numerical optimization also supported the use of a similar combination. …”
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47
Determination of tree stem volume : A case study of Cinnamomum
Published 2013“…Transformations are numerically optimized for linearity and normality of models. …”
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Thesis