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| Data Augmentation and Deep Neuro-fuzzy Network for Student Performance Prediction with MapReduce Framework 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 981-992 作者: Amlan Jyoti Baruah; Siddhartha Baruah Adobe PDF(1583Kb)  |  收藏  |  浏览/下载:198/50  |  提交时间:2021/11/26 Educational data mining (EDA) MapReduce framework deep neuro-fuzzy network student performance data augmentation |
| Improved Network for Face Recognition Based on Feature Super Resolution Method 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 915-925 作者: Ling-Yi Xu; Zoran Gajic Adobe PDF(1989Kb)  |  收藏  |  浏览/下载:179/43  |  提交时间:2021/11/26 Face recognition feature super resolution multiple-branch network deep learning convolutional neural networks |
| Dynamic Event-triggered Control and Estimation: A Survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886 作者: Xiaohua Ge; Qing-Long Han; Xian-Ming Zhang; Derui Ding Adobe PDF(3887Kb)  |  收藏  |  浏览/下载:206/40  |  提交时间:2021/11/26 Networked systems dynamic event-triggered control dynamic event-triggered estimation dynamic event-triggered mechanisms vehicle active suspension system water distribution and supply system |
| Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 826-837 作者: Jia-Xi Chen; Jun-Min Li Adobe PDF(2352Kb)  |  收藏  |  浏览/下载:203/47  |  提交时间:2021/09/13 Fuzzy logic systems stochastic nonlinear multi-agent systems (MAS) consensus algorithm adaptive control |
| Dynamic System Identification of Underwater Vehicles Using Multi-output Gaussian Processes 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 681-693 作者: Wilmer Ariza Ramirez; Juš Kocijan; Zhi Quan Leong; Hung Duc Nguyen; Shantha Gamini Jayasinghe Adobe PDF(3231Kb)  |  收藏  |  浏览/下载:174/47  |  提交时间:2021/09/13 Dependent Gaussian processes dynamic system identification multi-output Gaussian processes non-parametric identification autonomous underwater vehicle (AUV) |
| A Novel Heterogeneous Actor-critic Algorithm with Recent Emphasizing Replay Memory 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 619-631 作者: Bao Xi; Rui Wang; Ying-Hao Cai; TaoLu; Shuo Wang Adobe PDF(2505Kb)  |  收藏  |  浏览/下载:175/54  |  提交时间:2021/07/20 Reinforcement learning (RL) actor-critic experience replay training efficiency manipulation skill learning |
| 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:184/41  |  提交时间:2021/07/20 Self-supervised learning contrastive learning synthetic image convolutional neural network representation learning |
| Evolutionary Computation in Social Propagation over Complex Networks: A Survey 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 503-520 作者: Tian-Fang Zhao; Wei-Neng Chen; Xin-Xin Ma; Xiao-Kun Wu Adobe PDF(1283Kb)  |  收藏  |  浏览/下载:141/40  |  提交时间:2021/07/20 Evolutionary computation complex network propagation dynamics social diffusion evolution model optimization algorithm |
| Identification and classification of driving behaviour at a signalized intersection using support vector machine 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 480-491 作者: Soni Lanka Karri; Liyanage Chandratilak De Silva; Daphne Teck Ching Lai; Shiaw Yin Yong Adobe PDF(1497Kb)  |  收藏  |  浏览/下载:538/313  |  提交时间:2021/05/24 Signalized intersection driving behaviour machine learning support vector machine (SVM) road accidents |
| 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:272/57  |  提交时间:2021/05/24 Person re-identification (Re-ID) thermal infrared generative networks attention deep learning |