Mobile QR Code QR CODE

REFERENCES

1 
Ma P, Jiang B, Lu Z, Li N, Jiang Z. Cybersecurity Named Entity Recognition Using Bidirectional Long Short-Term Memory with Conditional Random Fields. Tsinghua Science and Technology, 2021, 26(3): 259-265.DOI
2 
An P, Wang Z, Zhang C. Ensemble unsupervised autoencoders and Gaussian mixture model for cyberattack detection. Information Processing & Management: Libraries and Information Retrieval Systems and Communication Networks: An International Journal, 2022, 59(2): 102844-102857.DOI
3 
Laura L L, Lorena A G. Fitting a Gaussian Mixture Model Through the Gini Index. International Journal of Applied Mathematics and Computer Science, 2021, 31(3): 487-500.DOI
4 
Sui H, Zhu H, Wu J, Luo B, Taccheo S, Zou X. Modeling pulse propagation in fiber optical parametric amplifier by a long short-term memory network. Optik: Zeitschrift fur Licht- und Elektronenoptik: Journal for Light-and Electronoptic, 2022, 260: 169125-169133.DOI
5 
Patil M S, Charuku B, Ren J. Long Short-term Memory Neural Network-based System Identification and Augmented Predictive Control of Piezoelectric Actuators for Precise Trajectory Tracking. IFAC-PapersOnLine, 2021, 54(20): 38-45.DOI
6 
Setiawan F, Yahya B N, Chun S J, Lee S L. Sequential inter-hop graph convolution neural network (SIhGCN) for skeleton-based human action recognition. Expert Systems with Application, 202, 195(Jun.): 116566.1~116566.10.DOI
7 
Qin Y, Liu B. KDM: A knowledge-guided and data-driven method for few-shot video action recognition. Neurocomputing, 2022, 510: 69-78.DOI
8 
Nguyen H T, Nguyen T O. Attention-based network for effective action recognition from multi-view video. Procedia Computer Science, 2021, 192: 971-980.DOI
9 
Song Y F, Zhang Z, Shan C, Wang L. Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition. IEEE, 2021, 31 (5): 1915-1925.DOI
10 
PEstevam V, Pedrini H, Menotti D. Zero-Shot Action Recognition from Diverse Object-Scene Compositions. Neurocomputing, 2021, 439(Jun.7): 159-175.URL
11 
Dhiman C, Vishwakarma D K, Agarwal P. Part-wise Spatio-temporal Attention Driven CNN-based 3D Human Action Recognition. ACM Transactions on Multimidia Computing Communications and Applications, 2021, 17(3): 86.1-86.24.DOI
12 
Shi Y, Shen H. Anomaly Detection for Network Flow Using Immune Network and Density Peak. International Journal of Network Security, 2020, 22(2): 337-346.URL
13 
Li B, Sun X, Li C, Xue K, Zhang X. Downlink energy efficiency modeling and optimization with backhaul awareness and interference price in ultra cellular HetNet. The Journal of China Universities of Posts and Telecommunications, 2019, 26(2): 71-85.DOI
14 
Chacon JE. Mixture model modal clustering. Springer Berlin Heidelberg, 2019, 13(2): 379-404.DOI
15 
Wang H, Dong L, Fan T, Sun M. A local density optimization method based on a graph convolutional network. Frontiers of Information Technology and Electronic Engineering, 2020, (12): 1795-1803.DOI
16 
Wang J, Liu Y, Jin Y, Zhang Y. Control of Hydraulic Power System by Mixed Neural Network PID in Unmanned Walking Platform. Journal of Beijing Institute of Technology, 2020, 29(3): 273-282.DOI
17 
Podoprosvetov A.V., Alisejchik A.P., Orlov I.A. Comparison of action recognition from video and IMUs. Procedia Computer Science, 2021, 186: 242-249.DOI
18 
Yang H, Gu Y, Zhu J, Zhang X. PGCN-TCA: Pseudo Graph Convolutional Network with Temporal and Channel-Wise Attention for Skeleton-Based Action Recognition. IEEE Access, 2020, (8): 10040-10047.DOI
19 
Ahmad Z, Khan N. Human Action Recognition Using Deep Multilevel Multimodal (M-2) Fusion of Depth and Inertial Sensors. IEEE, 2020, 20 (3): 1445-1455.DOI
20 
Jaouedi N, Boujnah N, Bouhlel M.S. A new hybrid deep learning model for human action recognition. Journal of King Saud University - Computer and Information Sciences, 2020, 32(4): 447-453.DOI