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Patient Preferences for Tracker Pin-Related Incision Configurations in Robotic-Assisted Total Knee Arthroplasty. [PDF]

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Yuenyongviwat V   +4 more
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Data base recovery at CMIC

Proceedings of the 1976 ACM SIGMOD international conference on Management of data - SIGMOD '76, 1976
Several techniques have been combined to provide for data base recovery at CMIC. The CMIC environment is presented first in order to identify the constraints which data base recovery must satisfy.A technique is described for updating mass-storage structures (a B-tree in this case) in such a way that all information already addressable through the mass ...
Nicholas J. Giordano, Marvin S. Schwarz
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Data Recovery and Security in Cloud

2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA), 2018
Cloud computing has been evolving with an increasing popularity, which leads to the rapid adaption of cloud services for various reasons among the individuals and organizations. The main reason for this shift is because of the numerous benefits provided by cloud services such as low costs, computational power, and storage services over the Internet ...
Jayachander Surbiryala, Chunming Rong
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Approach to Missing Data Recovery

2008 International Symposium on Electronic Commerce and Security, 2008
In order to recover the missing data in an information system, the paper proposed a new approach based on rough set to reduce the redundant attributes, discretize the continuous attributes and fill in the missing data. According to indiscernible relationship, discernible vector were defined and used the discernible vector addition rule to reduce ...
Xu E   +4 more
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Data sampling and data recovery

Experiments in Fluids, 1991
The sampling theorem states that a continuous signal can always be reconstructed from an equi-spaced set of samples of the signal, as long as the sampling rate has been chosen in accordance with the Nyquist criterion, thus allowing economical use of sampling rate and data storage.
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Clock and data recovery systems

2018 IEEE Custom Integrated Circuits Conference (CICC), 2018
High-Speed Serial IO (HSIO) have, more than ever, become a critical ingredient in high performance communication systems. As the link data rate increases, the HSIO designer is tasked with optimizing Performance, Power Consumption, Reliability and Cost.
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Neural computing for data recovery

2007 International Joint Conference on Neural Networks, 2007
This paper presents binary threshold networks to recover regularized LS estimates from degraded images. The binary networks consist of nonlinear processing elements configured to optimize the objective function. The optimization takes place at the bit-level on partitions of these networks. Update procedures and algorithms are outlined.
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