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| Humans and Robots: A Mutually Inclusive Relationship in a Contagious World 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 185-203 作者: Akash Gupta; Anshuman Singh; Deepak Bharadwaj; Amit Kumar Mondal
Adobe PDF(1295Kb)  |   收藏  |  浏览/下载:219/58  |  提交时间:2021/04/22 COVID-19 coronavirus telepresence delivery robots medical robots |
| Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality: A Review 期刊论文 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 503-519 作者: Tomaso Poggio; Hrushikesh Mhaskar; Lorenzo Rosasco; Brando Miranda; Qianli Liao
浏览  |   Adobe PDF(1711Kb)  |   收藏  |  浏览/下载:197/31  |  提交时间:2021/02/23 Deep learning fine-grained image classification semantic segmentation convolutional neural network (CNN) recurrent neural network (RNN). |
| Software for Small-scale Robotics: A Review 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 515-524 作者: Tobias Tiemerding; Sergej Fatikow
浏览  |   Adobe PDF(1960Kb)  |   收藏  |  浏览/下载:89/30  |  提交时间:2021/02/23 Robotic control software engineering micro/nano robotics artificial intelligence (AI) machine learning (ML) open source. |
| A Survey of Scene Understanding by Event Reasoning in Autonomous Driving 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 249-266 作者: Jian-Ru Xue; Jian-Wu Fang; Pu Zhang
浏览  |   Adobe PDF(2242Kb)  |   收藏  |  浏览/下载:118/39  |  提交时间:2021/02/23 Autonomous vehicle scene understanding event reasoning intention prediction scene representation. |
| Improving on Linear Scan Register Allocation 期刊论文 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 228-238 作者: Shahrzad Kananizadeh; Kirill Kononenko
浏览  |   Adobe PDF(918Kb)  |   收藏  |  浏览/下载:138/55  |  提交时间:2021/02/23 Register allocation just-in-time compilation code generation static analysis dynamic analysis. |
| 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:120/43  |  提交时间:2021/02/22 Human computation speech analysis crowdsourcing gamified data collection survey. |
| Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 129-149 作者: Brian D. O. Anderson; Mengbin Ye
浏览  |   Adobe PDF(1461Kb)  |   收藏  |  浏览/下载:138/52  |  提交时间:2021/02/22 Opinion dynamics social networks influence networks agent-based models multi-agent systems networked systems. |
| A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83 作者: Yuan Wu ; Hai-Bing Zhu ; Qing-Xiu Du ; Shu-Ming Tang![](/image/person.jpg)
浏览  |   Adobe PDF(1248Kb)  |   收藏  |  浏览/下载:267/80  |  提交时间:2021/02/22 Inertial measurement unit (IMU) pedestrian dead-reckoning indoor navigation technical route general framework. |
| Key Crowdsourcing Technologies for Product Design and Development 期刊论文 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 1-15 作者: Xiao-Jing Niu; Sheng-Feng Qin; John Vines; Rose Wong; Hui Lu
浏览  |   Adobe PDF(997Kb)  |   收藏  |  浏览/下载:197/55  |  提交时间:2021/02/22 Crowdsourcing technologies product design and development (PDD) communication information sharing design evaluation feedback. |
| Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122 作者: Sajjad Afrakhteh; Mohammad-Reza Mosavi; Mohammad Khishe; Ahmad Ayatollahi
浏览  |   Adobe PDF(1536Kb)  |   收藏  |  浏览/下载:154/59  |  提交时间:2021/02/22 Brain-computer interface (BCI) classification electroencephalography (EEG) gravitational search algorithm (GSA) multi-layer perceptron neural network (MLP-NN) particle swarm optimization. |