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This architecture implements the Co-Training algorithm and applies to the email domain.
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Our architecture implements this in two iterations over its local memory and a single iteration over an SDRAM.
To exemplify this, our architecture implemented with P = 45 FUs supports at maximum seven iterations when decoding at a throughput of 90 Mbps for worst case working conditions, as depicted in Table 6.
Our framework architecture implements the established MAPE-K control model for autonomic computing.
Our proposed distributed RPA architecture implements a simple ring network for particle routing.
The third architecture implements the SIRF as a distributed PF composed of several processing elements and central unit.
The third architecture implements the SIRF as a distributed PF composed of several PEs and a CU.
The biologically inspired LIDA cognitive architecture implements GWT conceptually and computationally.
The architecture implements a continuous double action (CDA) algorithm for a real-time middleware.
This architecture is implemented using a 0.35 μ m CMOS process.
This architecture is implemented as a vertical cloud, which is designed for use in non-profit organizations, such as publicly funded schools.
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