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STEP AP 242 Managed Model-based 3D Engineering: An Application Towards the Automation of Fixture Planning 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 731-746
作者:  Remil George Thomas;  Deepak Lawrence K.;  Manu R.
Adobe PDF(1714Kb)  |  收藏  |  浏览/下载:155/26  |  提交时间:2021/09/13
Standard for the exchange of product model data (STEP) application protocol (AP) 242  product manufacturing information  computer-aided fixture design  computer aided design (CAD)/computer aided manufacturing (CAM), automation  computer integrated manufacturing  3D surface roughness  
Deep Audio-Visual Learning: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 351-376
作者:  Hao Zhu;  Man-Di Luo;  Rui Wang;  Ai-Hua Zheng;  Ran He
Adobe PDF(1864Kb)  |  收藏  |  浏览/下载:194/38  |  提交时间:2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
Fault Information Recognition for On-board Equipment of High-speed Railway Based on Multi-neural Network Collaboration 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 935-946
作者:  Lu-Jie Zhou;  Jian-Wu Dang;  Zhen-Hai Zhang
Adobe PDF(1263Kb)  |  收藏  |  浏览/下载:196/44  |  提交时间:2021/11/26
Train control system  Chinese named entity recognition (NER)  character feature  gating mechanism  bidirectional long short-term memory (BiLSTM)  
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:173/44  |  提交时间:2021/09/13
Action recognition  spatiotemporal relation  multi-branch fusion  long-term representation  video classification  
A Creative Computing Approach to Film-story Creation: A Proposed Theoretical Framework 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 678-690
作者:  Hong-Wei Liu;  Hong-Rui Liu;  Hong-Ji Yang;  En-Ze Yu
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Creative computing  film-story creation  creativity rules  automatic generation  human-like scriptwriting.  
Expression Analysis Based on Face Regions in Real-world Conditions 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 96-107
作者:  Zheng Lian;  Ya Li;  Jian-Hua Tao;  Jian Huang;  Ming-Yue Niu
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Facial emotion analysis  face areas  class activation map  confusion matrix  concerned area.  
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
浏览  |  Adobe PDF(1145Kb)  |  收藏  |  浏览/下载:83/28  |  提交时间:2021/02/22
Dialog system  transfer learning  deep learning  natural language processing (NLP)  artificial intelligence.  
A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 6, 页码: 800-811
作者:  Snehasis Banerjee;  Tanushyam Chattopadhyay;  Utpal Garain
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Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
STEP-based Feature Recognition System for B-spline Surface Features 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 500-512
作者:  Bitla Venu;  Venkateswara Rao Komma;  Deepanshu Srivastava
浏览  |  Adobe PDF(959Kb)  |  收藏  |  浏览/下载:131/54  |  提交时间:2021/02/23
Feature recognition  3D computer aided design (CAD) model  geometrical information  standard for the exchange of product model data (STEP) AP203  Java standard data access interface (JSDAI).  
A Survey on Deep Learning-based Fine-grained Object Classification and Semantic Segmentation 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 2, 页码: 119-135
作者:  Bo Zhao;  Jiashi Feng;  Xiao Wu;  Shuicheng Yan
浏览  |  Adobe PDF(5409Kb)  |  收藏  |  浏览/下载:172/37  |  提交时间:2021/02/23
Deep learning  fine-grained image classi¯cation  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).