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| Research on Voiceprint Recognition of Camouflage Voice Based on Deep Belief Network 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 947-962 作者: Nan Jiang; Ting Liu![](/image/person.jpg)
Adobe PDF(1905Kb)  |   收藏  |  浏览/下载:244/55  |  提交时间:2021/11/26 Disguised voice recognition deep belief network feature extraction Gammatone frequency cepstrum coefficients (GFCC) dropout |
| Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914 作者: Isaac Baffour Senkyire; Zhe Liu
Adobe PDF(1308Kb)  |   收藏  |  浏览/下载:253/53  |  提交时间:2021/11/26 Abdominal organ, supervised segmentation semi-supervised segmentation evaluation metrics image segmentation machine learning |
| STRNet: Triple-stream Spatiotemporal Relation Network for Action Recognition 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 718-730 作者: Zhi-Wei Xu; Xiao-Jun Wu; Josef Kittler
Adobe PDF(1129Kb)  |   收藏  |  浏览/下载:213/55  |  提交时间:2021/09/13 Action recognition spatiotemporal relation multi-branch fusion long-term representation video classification |
| Toward Coordination Control of Multiple Fish-Like Robots: Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1964-1976 作者: Tianhao Zhang; Jiuhong Xiao; Liang Li; Chen Wang; Guangming Xie
Adobe PDF(40902Kb)  |   收藏  |  浏览/下载:129/14  |  提交时间:2021/09/03 Deep neural networks formation control multiple fish-like robots pose estimation pose tracking |
| A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1627-1643 作者: Jun Tang ; Gang Liu; Qingtao Pan
Adobe PDF(5712Kb)  |   收藏  |  浏览/下载:152/38  |  提交时间:2021/09/03 Ant colony optimization (ACO) artificial bee colony (ABC) artificial fish swarm (AFS) bacterial foraging optimization (BFO) optimization particle swarm optimization (PSO) swarm intelligence |
| Vision Based Hand Gesture Recognition Using 3D Shape Context 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1600-1613 作者: Chen Zhu; Jianyu Yang; Zhanpeng Shao; Chunping Liu
Adobe PDF(20003Kb)  |   收藏  |  浏览/下载:162/42  |  提交时间:2021/09/03 3D shape context depth map hand shape segmentation hand gesture recognition human-computer interaction |
| Contrastive Self-supervised Representation Learning Using Synthetic Data 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 556-567 作者: Dong-Yu She; Kun Xu
Adobe PDF(993Kb)  |   收藏  |  浏览/下载:208/52  |  提交时间:2021/07/20 Self-supervised learning contrastive learning synthetic image convolutional neural network representation learning |
| Human-Swarm-Teaming Transparency and Trust Architecture 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1281-1295 作者: Adam J. Hepworth; Daniel P. Baxter; Aya Hussein; Kate J. Yaxley; Essam Debie; Hussein A. Abbass
Adobe PDF(2092Kb)  |   收藏  |  浏览/下载:295/104  |  提交时间:2021/06/11 Artificial intelligence explainability human-swarm teaming (HST) interpretability predictability swarm shepherding transparency |
| Towards Collaborative Robotics in Top View Surveillance: A Framework for Multiple Object Tracking by Detection Using Deep Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1253-1270 作者: Imran Ahmed; Sadia Din; Gwanggil Jeon; Francesco Piccialli; Giancarlo Fortino
Adobe PDF(69436Kb)  |   收藏  |  浏览/下载:170/17  |  提交时间:2021/06/11 Collaborative robotics deep learning object detection and tracking top view video surveillance |
| Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456 作者: Ai-Hua Zheng; Zi-Han Chen; Cheng-Long Li; Jin Tang; Bin Luo
Adobe PDF(1832Kb)  |   收藏  |  浏览/下载:296/67  |  提交时间:2021/05/24 Person re-identification (Re-ID) thermal infrared generative networks attention deep learning |