Titlebook: Artificial Intelligence and Robotics; 7th International Sy Shuo Yang,Huimin Lu Conference proceedings 2022 The Editor(s) (if applicable) an

Archipelago

Collected

Data Security Knowledge Graph for Active Distribution Network,g data security protection strategies for the active distribution network are basically based on encryption, access control, and blockchain technology, which cannot enable the active distribution network operation and maintenance and management personnel to intuitively understand the data security s

跟隨

Design of MobileNetV1 SSD Target Detection Accelerator Based on FPGA,due to the speed and power limitation brought by convolution computation, the algorithm of the convolutional network used for target recognition generally needs to be accelerated by the convolution accelerator before it can be effectively deployed to edge computing devices. In this paper, a new arch

Crohns-disease

Transformer-Based Point Cloud Classification,s of PointNet, to improve the discriminability and the stability of features extracted at different stages. Experimental results show that compared with the PointNet, our method has not only a higher classification accuracy but also a higher stability, especially when the points in the point cloud a

擋泥板

Cubicle

De Gaulle and Franklin D. Rooseveltonlinearity of the target system, whereas the higher-order neural network observer is utilized to compensate parametric uncertainties to improve the accuracy. In addition, the closed-loop asymptotic stability of the designed control strategy is guaranteed by employing the Lyapunov theory. To investi

控訴

ANNUL

Shiv Narayan,K. M. Divya,V. Krushna Kanthcy of action recognition by learning more visual tempo of different actions. Extensive evaluations show that MRF-ST reaches the state-of-the-art on the UCF-101 and HMDB-51 datasets. Further analysis also indicates that MRF-ST can significantly improve the performance at the scenes with large varianc

Infinitesimal

NOMAD

Fundamentals of FE Computation,ile for the real trajectory, the false positive rate is only 6.5%. The virtual trajectory generated by the proposed scheme has human motion patterns similar to the real trajectory, and protects against colluding, inference, and channel attacks. The generated virtual trajectory points will not be dis