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REFERENCES

1 
Guo. M, Yu. Z, Xu. Y, Li. C. “ME-Net: A deep convolutional neural network for extracting mangrove using sentinel-2A data,” Remote Sensing, vol. 13, no. 7, pp. 1-24, 2021.URL
2 
Wu. H, Zhou. B, Zhu. K, Shang. C, Tam. HY, Lu. C. “Pattern recognition in distributed fiber-optic acoustic sensor using intensity and phase stacked convolutional neural network with data augmentation,” Optics Express, vol. 29, no. 3, pp. 3269-3283, 2021.URL
3 
Rastgoo. R, Kiani. K, Escalera. S. “Hand sign language recognition using multi-view hand skeleton,” Expert Systems with Applications, vol. 150, no. 8, pp. 113336, 2020.URL
4 
Tsai. MF, Chen. CH. “Spatial temporal variation graph convolutional networks (STV-GCN) for skeleton-based emotional action recognition,” IEEE Access, no. 9, pp. 13870-13877, 2021.URL
5 
Gao. P, Zhao. D, Chen. X. “Multi-dimensional data modelling of video image action recognition and motion capture in deep learning framework,” IET Image Processing, vol. 14, no. 7, pp. 1257-1264, 2020.URL
6 
Anitha. U, Narmadha. R, Sumanth. DR, Kumar. DN. “Robust human action recognition system via image processing,” Procedia Computer Science, no. 167, pp. 870-877, 2020.URL
7 
Nwoye. CI, Yu. T, Gonzalez. C, Seeliger. B, Mascagni. P, Mutter. D, Padoy. N. “Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos,” Medical Image Analysis, no. 78, pp. 102433, 2022.URL
8 
Jiang. H, Tsai. SB. “An empirical study on sports combination training action recognition based on SMO algorithm optimization model and artificial intelligence,” Mathematical Problems in Engineering, no. 2021, pp. 1-11, 2021.URL
9 
Liu. Y, Dong. H, Wang. L. “Trampoline motion decomposition method based on deep learning image recognition,” Scientific Programming, vol. 2021, no. 9, pp. 1-8, 2021.URL
10 
Silva. V, Soares. F, Leo. CP, Esteves. JS, Vercelli. G. “Skeleton driven action recognition using an image-based spatial-temporal representation and convolution neural network,” Sensors, vol. 21, no. 13, pp. 4342.URL
11 
Ali. S, Bouguila. N. “Multimodal action recognition using variational-based Beta-Liouville hidden Markov models,” IET Image Processing, vol. 14, no. 17, pp. 4785-4794.URL
12 
Kim. SH, Cho. D. “Viewpoint-aware action recognition using skeleton-based features from still images,” Electronics, vol. 10, no. 9, pp. 1118, 2021.URL
13 
Xuan. P, Gong. Z, Cui. H, Li. B, Zhang. T. “Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs,” Briefings in Bioinformatics, no. 3, pp. 89-91, 2022.URL
14 
Wang. H, He. J, Zhang. X, Liu. S. "A Short Text Classification Method Based on N-Gram and CNN," Chinese Journal of Electronics, vol.29, no. 2, pp. 248-254, 248-254, March. 2020.URL
15 
Abraham. L, Sasikumar. M. “Vehicle Detection and Classification from High Resolution Satellite Images,” Journal of Bacteriology, Vol. 2, no. 1, pp. 1-8, November, 2014.URL
16 
Mafi. M, Izquierdo. W, Martin. H, Cabrerizo. M, Adjouadi. M. “Deep convolutional neural network for mixed random impulse and Gaussian noise reduction in digital images,” IET Image Processing, Vol. 14, no. 3, pp. 3791-3801, 2020.URL
17 
GS Hayes, SN Mclennan, JD Henry, LH Phillips, I Labuschagne. “Task characteristics influence facial emotion recognition age-effects: A meta-analytic review,” Psychology and Aging, no. 2, pp. 295-315, January 2020.URL
18 
Jagannathan. J, Divya. C. “Deep learning for the prediction and classification of land use and land cover changes using deep convolutional neural network,” Ecological Informatics, vol. 65, no. 15, pp. 101412, 2021.URL
19 
Chen. H, Hu. C, Lee. F, Lin. C, Yao. W, Chen. L, Chen. Q. “A supervised video hashing method based on a deep 3d convolutional neural network for large-scale video retrieval,” Sensors, vol. 21, no. 9, pp. 3094, 2021.URL
20 
Ji. R. “Research on basketball shooting action based on image feature extraction and machine learning,” IEEE Access, no. 8, pp. 138743-138751, 2020.URL
21 
Chen. C, Song. J, Peng. C, Wang. G, Fang. Y. “A Novel Video Salient Object Detection Method via Semisupervised Motion Quality Perception,” IEEE, vol. 32, no. 5, pp. 2732-2745, 2019.URL