Titlebook: Secondary Ion Mass Spectrometry SIMS IV; Proceedings of the F A. Benninghoven,J. Okano,H. W. Werner Conference proceedings 1984 Springer-Ve

arthroplasty

mutineer

ng highly volatile and it is very difficult, if not impossible, to analytically learn about the underlining pattern and hence the well-established and traditional statistical methods will fail to make a sound prediction. As a result, recent advances of artificial intelligence (AI) technologies have

事物的方面

DEFER

K. Tsunoyama,T. Suzuking highly volatile and it is very difficult, if not impossible, to analytically learn about the underlining pattern and hence the well-established and traditional statistical methods will fail to make a sound prediction. As a result, recent advances of artificial intelligence (AI) technologies have

adipose-tissue

K. Inoue,Y. Taga,K. Sattanificantly fewer than that of normal instances. By utilizing unlabeled data, the model’s ability will be improved to generalize to various fault scenarios, including previously unseen ones. In this Chapter, semi-supervised intelligent fault diagnosis methods, such as Kernel Principal Component Analy

indicate

H. J. Kang,R. Shimizue vector is created for each measurement using an intelligent feature selection process for use in statistical pattern classification routines. Using experimentally measured data from real vehicles at 50 m, this process is able to correctly classify vehicles into one of five classes with 94% accurac

预防注射

D. E. Harrison Jr.,W. A. Mason,R. P. Webbconception of a high precision actuator capable of moving the large part with the required tolerance. The active fixture was implemented into the machine and the obtained results proved that the proposed active fixture is able to centre the workpiece within the tolerance of 10 μm assuring the qualit

Epidural-Space

T. Koshikawa,T. Ikuta,R. S. Liuring the minimum distortion for the machined component. When developing this tool, the requirement for its usage by low skilled operators at workshop level has been taken into account, guaranteeing its usability in actual manufacturing environments.

amygdala

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