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A synthetic signal dataset of 12 different modulations (including PSK, QPSK, 8PSK, QFSK, 8FSK, 16APSK, 16QAM, 64QAM, 4PAM, LFM, DSB-SC, and SSBSC) with different DOAs (discrete angles ranging from -60° to 60° with the step size of 1°) is generated using MATLAB 2021a. Regarding the signal model configuration for the data generation, we specify a uniform linear antenna array of M = 5 elements to acquire incoming signals having N = 1024 envelope complex samples, thus conducting an I/Q data array of size 1024 × 2 × 5.

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In this letters, a new measure called communication robustness (CR) for network robustness is presented from the standpoint of network structure, which not only confirms the dominant effect of the giant connected component on the network robustness, but captures the local communicability of all small connected components. Furthermore, we prove that the optimal edge-adding problem to improve the CR is NP-hard. To cope with the NP-hard problem, we propose a simulated annealing algorithm in terms of the proposed CR measure.

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Facial paralysis is the loss of facial muscle movement

either in one side or both sides of the face due to the facial

nerve damage. Currently, the subjective assessments are widely

used techniques to determine the measure of degree with which

the patient is affected. However, the subjective assessments are

highly dependant on the expert’s view and a few sets of grading

rules. In this paper, the quantitative assessment to measure the

degree of facial paralysis is proposed. The video database of

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3668 Views