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Kasra Mohammadi et al.
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Jung Soo Nam et al.
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Mehmet Aydin et al.
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Simranpreet Singh Gill et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
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Rodolfo E. Haber et al.
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Vishal S. Sharma et al.
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An approach based on current and sound signals for in-process tool wear monitoring
D. R. Salgado et al.
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N. Ghosh et al.
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Research on micro-thermophotovoltaic power generators with different emitting materials
WM Yang et al.
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Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks
T Özel et al.
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Identification of feature set for effective tool condition monitoring by acoustic emission sensing
J Sun et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2004)