中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Imitating the Brain with Neurocomputer A “New” Way Towards Artificial General Intelligence 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 520-531
作者:  Tie-Jun Huang
浏览  |  Adobe PDF(262Kb)  |  收藏  |  浏览/下载：164/53  |  提交时间：2021/02/23
Artificial general intelligence (AGI)  neuromorphic computing  neurocomputer  brain-like intelligence  imitationalism.  
An Advanced Prediction Mechanism to Analyse Pore Geometry Shapes and Identification of Blocking Effect in VRLA Battery System 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 21-32
作者:  Alessandro Mariani;  Kary Thanapalan1 Peter Stevenson;  Jonathan Williams
浏览  |  Adobe PDF(18338Kb)  |  收藏  |  浏览/下载：91/39  |  提交时间：2021/02/23
Positive active material  crystal structure  valve regulated lead acid (VRLA) batteries  modelling, estimation and recovery techniques.  
Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 643-655
作者:  Zhen-Jie Yao;  Jie Bi;  Yi-Xin Chen
浏览  |  Adobe PDF(692Kb)  |  收藏  |  浏览/下载：109/29  |  提交时间：2021/02/23
Deep learning  healthcare  electronic health records (EHR)  neural networks  survey.  
Development of STEP AP224 Extractor for Interfacing Feature Based CAPP to STEP-NC (AP238) 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 655-670
作者:  Deepanshu Srivastava;  Venkateswara Rao Komma
浏览  |  Adobe PDF(3913Kb)  |  收藏  |  浏览/下载：111/38  |  提交时间：2021/02/22
Reduced-order observer  discrete-time systems  Lipschitz systems  H∞  ARDUINO MEGA 2560 device.  
An Approach to Reducing Input Parameter Volume for Fault Classifiers 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 2, 页码: 199-212
作者:  Ann Smith;  Fengshou Gu;  Andrew D. Ball
浏览  |  Adobe PDF(1085Kb)  |  收藏  |  浏览/下载：130/60  |  提交时间：2021/02/22
Fault diagnosis  classification  variable clustering  data compression  big data.