Items where Author is "Raziq, Muhamad Aiman"
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SuhailaAbd Halim, SuhailaAbd Halim and Yupiter H. P. Manurung, Yupiter H. P. Manurung and Raziq, Muhamad Aiman and ChengYee Low, ChengYee Low and Rohmad, Muhammad Saufy and John R. C. Dizon, John R. C. Dizon and Vladimir S. Kachinsky, Vladimir S. Kachinsky (2023) Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check. Scientifc Reports. pp. 1-16.
Abd Halim, Suhaila and Yupiter H. P. Manurung, Yupiter H. P. Manurung and Raziq, Muhamad Aiman and ChengYee Low, ChengYee Low and Rohmad, Muhammad Saufy and John R. C. Dizon, John R. C. Dizon and Vladimir S. Kachinsky, Vladimir S. Kachinsky (2023) Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check. Scientifc Reports. pp. 1-16.
Abd Halim, Suhaila and Yupiter H. P. Manurung, Yupiter H. P. Manurung and Raziq, Muhamad Aiman and ChengYee Low, ChengYee Low and Rohmad, Muhammad Saufy and John R. C. Dizon, John R. C. Dizon and Vladimir S. Kachinskyi, Vladimir S. Kachinskyi (2023) Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check. Scientifc Reports. pp. 1-16.
Abd Halim, Suhaila and Yupiter H. P. Manurung, Yupiter H. P. Manurung and Raziq, Muhamad Aiman and ChengYee Low, ChengYee Low and Rohmad, Muhammad Saufy and John R. C. Dizon, John R. C. Dizon and Vladimir S. Kachinsky, Vladimir S. Kachinsky (2023) Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check. Scientifc Reports. pp. 1-16.
Abd Halim, Suhaila and H. P. Manurung, Yupiter and Raziq, Muhamad Aiman and ChengYee Low, ChengYee Low and Rohmad, Muhammad Saufy and John R. C. Dizon6 & Vladimir S. Kachinskyi, John R. C. Dizon6 & Vladimir S. Kachinskyi (2023) Quality prediction and classifcation of resistance spot weld using artifcial neural networkbwith open‑sourced, self‑executable andGUI‑based application tool Q‑Check. Scientifc Reports. pp. 1-16.