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Grinding titanium aluminide: subsurface damage.

, and . Int. J. Manuf. Technol. Manag., 12 (1/2/3): 200-204 (2007)

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Adaptive Deep Path: Efficient Coverage of a Known Environment under Various Configurations., , , and . IROS, page 3549-3556. IEEE, (2019)Hybrid Dynamic Trees for Extreme-Resolution 3D Sparse Data Modeling., , , and . IPDPS, page 132-141. IEEE Computer Society, (2016)An Optical Coordinate Measuring Machine for Nanoscale Dimensional Metrology., , and . J. Adv. Comput. Intell. Intell. Informatics, 8 (1): 39-44 (2004)Max orientation coverage: efficient path planning to avoid collisions in the CNC milling of 3D objects., , , , and . IROS, page 6862-6869. IEEE, (2020)A GPU-parallel construction of volumetric tree., , , and . IA3@SC, page 10:1-10:4. ACM, (2015)Grinding titanium aluminide: subsurface damage., and . Int. J. Manuf. Technol. Manag., 12 (1/2/3): 200-204 (2007)3D separable convolutional neural network for dynamic hand gesture recognition., , , , , and . Neurocomputing, (2018)Cyber-Physical System Implementation for Manufacturing With Analytics in the Cloud Layer., , , and . J. Comput. Inf. Sci. Eng., (2022)Integrated inspection and process control for machining a circular contour on a two-axis vertical turning lathe., and . IJMR, 1 (1): 101-117 (2006)Faster parallel collision detection at high resolution for CNC milling applications., , , , and . ICPP, page 97:1-97:10. ACM, (2019)