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- W2022658642 abstract "In this article nut-shell pieces are separated from pistachio kernels and hazelnut kernels using impact vibration analysis. Vibration signals are recorded and analyzed in real-time. Mel-kepstral feature parameters and line spectral frequency values are extracted from the vibration signals. Feature parameters are classified using a Support Vector Machine (SVM) which was trained a priori using a manually classified data set. An average classification rate of 96.% and 98.3%was achieved with Antep-style Turkish pistachio nuts and hazelnuts. An important feature of the method is that it is easily trainable for other kinds of pistachio nuts and other nuts including walnuts." @default.
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- W2022658642 date "2013-04-01" @default.
- W2022658642 modified "2023-10-12" @default.
- W2022658642 title "Separating nut-shell pieces from hazelnuts and pistachio kernels using impact vibration analysis" @default.
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- W2022658642 doi "https://doi.org/10.1109/siu.2013.6531171" @default.
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