School of Physical and Mathematical Sciences (SPMS)

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4,261 to 4,270 of 8,093 Results

Intensity error (random).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 149.5 KB - MD5: cfcf89bfb2d5379beea8af08e49c6ee8 Required data for Figure 5 to 7.
Intensity (linear).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 117.6 KB - MD5: 89c8b03aa953e9ec1e901f0c5fb33a8e Required data for Figure 5 to 7.
Intensity (maximum).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 117.6 KB - MD5: d94f8246522442054dda7e5f5b71e38a Required data for Figure 5 to 7.
Intensity (single).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 113.8 KB - MD5: 9ec091a44d0d13174561ac919d7b351b Required data for Figure 5 to 7.
INTENSITY.txt Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications Plain Text - 162.7 KB - MD5: f02f2e16763e91e8e8e92a7d541e5e8c Required data for Figure 9.
modelGradients.m Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Source Code - 879 B - MD5: 5d57f3fd09195e3776794b34d02a203b Matlab script: Objective function for training neural network
Output Intensity (maximum).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 149.3 KB - MD5: 43150630eeb1bd55ae6896ef57121f11 Required data for Figure 5 to 7.
Output Intensity (random).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 149.5 KB - MD5: d9af090601706a68b92990d310aab1bb Required data for Figure 5 to 7.
Output Phase (maximum).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 8.5 KB - MD5: f40246ebe2001bb4703751cd86972d40 Required data for Figure 5 to 7.
Output Phase (random).mat Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications MATLAB Data - 8.5 KB - MD5: 6637e750543cdd8db5cc3e2bce2f31f0 Required data for Figure 5 to 7.

Intensity error (random).mat

Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

MATLAB Data - 149.5 KB -

Required data for Figure 5 to 7.

Intensity (linear).mat

Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

MATLAB Data - 117.6 KB -

Required data for Figure 5 to 7.

Intensity (maximum).mat

Sep 15, 2022 - Self-adaptive deep reinforcement learning for THz beamforming with silicon metasurfaces in 6G communications

MATLAB Data - 117.6 KB -

Required data for Figure 5 to 7.