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Suction-based Grasp Point Estimation in Cluttered Environment for Robotic Manipulator Using Deep Learning-based Affordance Map 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 277-287
作者:  Tri Wahyu Utomo, Adha Imam Cahyadi, Igi Ardiyanto
Adobe PDF(913Kb)  |  收藏  |  浏览/下载：152/56  |  提交时间：2021/04/22
Grasping point estimation  household objects  red, green, blue and depth (RGBD) channel image  semantic segmentation  cluttered environment  
A Novel Minkowski-distance-based Consensus Clustering Algorithm 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 33-44
作者:  De-Gang Xu;  Pan-Lei Zhao;  Chun-Hua Yang;  Wei-Hua Gui;  Jian-Jun He
浏览  |  Adobe PDF(10416Kb)  |  收藏  |  浏览/下载：83/38  |  提交时间：2021/02/23
Minkowski distance  consensus clustering  similarity matrix  process data  froth flotation.  
Improvement of Wired Drill Pipe Data Quality via Data Validation and Reconciliation 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 625-636
作者:  Dan Sui;  Olha Sukhoboka;  Bernt Sigve Aadnøy
浏览  |  Adobe PDF(1712Kb)  |  收藏  |  浏览/下载：130/39  |  提交时间：2021/02/23
Data quality  wired drill pipe (WDP)  data validation and reconciliation (DVR)  drilling  models.  
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
浏览  |  Adobe PDF(891Kb)  |  收藏  |  浏览/下载：175/53  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
Electronic Nose and Its Applications: A Survey 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209
作者:  Diclehan Karakaya;  Oguzhan Ulucan;  Mehmet Turkan
浏览  |  Adobe PDF(1365Kb)  |  收藏  |  浏览/下载：181/35  |  提交时间：2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.