Titlebook: Artificial Intelligence and Security; 7th International Co Xingming Sun,Xiaorui Zhang,Elisa Bertino Conference proceedings 2021 Springer Na

patella

永久

Research on Efficient Image Inpainting Algorithm Based on Deep Learning retained the intact image outside the damaged. On this basis, in order to improve the performance of image inpainting, Convolutional Block Attention Module (CBAM) was used in the residual network. Experimental results show that, compared with edge information-based deep learning algorithm Edge Conn

可憎

Subspace Classification of Attention Deficit Hyperactivity Disorder with Laplacian Regularization feature set in the feature selection phase. Then, the feature set is turned to its projected features by the subspace model for each hypothesis. Here, a Laplacian regularization is employed to enhance the relationship of intra-class subjects. By comparing the subspace energies of projection feature

ostensible

Study the Quantum Transport Process: Machine Learning Simulates Quantum Conditional Master Equationthe behavior of parameters transfers from time . to . in QCME is consistent with the behavior of parameter transfer in LSTM. Based on the above two reasons, the LSTM is used to simulate QCME. In the numerical experiment, an effective method is proposed to truncate QCME, and then the fluctuation nois

mechanical

Neural Network Study Quantum Synchronization and Quantum Correlation Under Non-zero Temperaturem synchronization and the quantum correlation. Additionally, it is shown in the article that the process of synchronization under different parameter. Meanwhile, the artificial neural networks method is used to further study the classification of the quantum synchronization at non-zero temperature a

mortuary

Processes