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| Transfer Hierarchical Attention Network for Generative Dialog System 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 720-736 作者: Xiang Zhang; Qiang Yang Adobe PDF(1145Kb)  |  收藏  |  浏览/下载:117/37  |  提交时间:2021/02/22 Dialog system transfer learning deep learning natural language processing (NLP) artificial intelligence. |
| Phenomenological Based Soft Sensor for Online Estimation of Slurry Rheological Properties 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 696-706 作者: Jenny L. Diaz C.; Diego A. Muñoz; Hernan Alvarez 浏览  |  Adobe PDF(2306Kb)  |  收藏  |  浏览/下载:180/50  |  提交时间:2021/02/22 Soft sensor phenomenological based semi-physical model non-Newtonian fluids unknown input observer slurry flow. |
| Predictive Control Based on Fuzzy Supervisor for PWARX Hybrid Model 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 683-695 作者: Olfa Yahya; Zeineb Lassoued; Kamel Abderrahim 浏览  |  Adobe PDF(2179Kb)  |  收藏  |  浏览/下载:104/59  |  提交时间:2021/02/22 Nonlinear control hybrid systems mixed logical dynamic (MLD) model predictive control fuzzy supervisor. |
| Auto-tuning of FOPI Controllers for TITO Processes with Experimental Validation 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 589-603 作者: Gargi Baruah; Somanath Majhi; Chitralekha Mahanta 浏览  |  Adobe PDF(5332Kb)  |  收藏  |  浏览/下载:196/69  |  提交时间:2021/02/22 Auto-tuning fractional order proportional and integral (FOPI) two-input two-output (TITO) robust relay with hysteresis model reduction coupled tank system (CTS). |
| Zero-shot Fine-grained Classification by Deep Feature Learning with Semantics 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 563-574 作者: Ao-Xue Li; Ke-Xin Zhang; Li-Wei Wang 浏览  |  Adobe PDF(1089Kb)  |  收藏  |  浏览/下载:217/66  |  提交时间:2021/02/22 Fine-grained image classification zero-shot learning deep feature learning domain adaptation semantic graph. |
| Experimental Evaluation of Certain Pursuit and Evasion Schemes for Wheeled Mobile Robots 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 491-510 作者: Amit Kumar; Aparajita Ojha 浏览  |  Adobe PDF(1548Kb)  |  收藏  |  浏览/下载:143/56  |  提交时间:2021/02/22 Pursuit-evasion wheeled mobile robot proportional navigation trajectory planning target interception. |
| Large-scale Data Collection and Analysis via a Gamified Intelligent Crowdsourcing Platform 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 427-436 作者: Simone Hantke; Tobias Olenyi; Christoph Hausner; Tobias Appel; Björn Schuller 浏览  |  Adobe PDF(1345Kb)  |  收藏  |  浏览/下载:147/52  |  提交时间:2021/02/22 Human computation speech analysis crowdsourcing gamified data collection survey. |
| Deep Learning Based Single Image Super-resolution: A Survey 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 413-426 作者: Viet Khanh Ha; Jin-Chang Ren; Xin-Ying Xu; Sophia Zhao; Gang Xie; Valentin Masero; Amir Hussain 浏览  |  Adobe PDF(1389Kb)  |  收藏  |  浏览/下载:163/43  |  提交时间:2021/02/22 Image super-resolution convolutional neural network high-resolution image low-resolution image deep learning. |
| Sequential Fault Diagnosis Using an Inertial Velocity Differential Evolution Algorithm 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 389-397 作者: Xiao-Hong Qiu; Yu-Ting Hu; Bo Li 浏览  |  Adobe PDF(792Kb)  |  收藏  |  浏览/下载:187/66  |  提交时间:2021/02/22 Differential evolution (DE) evolutionary computation fault isolation rate (FIR) testability fault diagnosis. |
| Decomposition Based Fuzzy Model Predictive Control Approaches for Interconnected Nonlinear Systems 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 369-388 作者: Latifa Dalhoumi; Mohamed Chtourou; Mohamed Djemel 浏览  |  Adobe PDF(2371Kb)  |  收藏  |  浏览/下载:132/50  |  提交时间:2021/02/22 Model predictive control centralized control decentralized control Takagi-Sugeno (TS) fuzzy models interconnected nonlinear systems fuzzy model predictive control parallel distributed compensation. |