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| A Model of Spray Tool and a Parameter Optimization Method for Spraying Path Planning 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 1017-1031 作者: Ruxiang Hua; Wei Zou; Guodong Chen; Hongxuan Ma; Wei Zhang Adobe PDF(3022Kb)  |  收藏  |  浏览/下载:124/36  |  提交时间:2023/07/04 Digital camouflage spraying robot path optimization parameter setting coating thickness uniformity |
| Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 155-169 作者: Wen-Jing Hong; Peng Yang; Ke Tang Adobe PDF(946Kb)  |  收藏  |  浏览/下载:132/35  |  提交时间:2021/04/22 Large-scale multi-objective optimization high-dimensional search space evolutionary computation evolutionary algorithms scalability |
| Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 311-333 作者: Xiao-Qin Zhang; Run-Hua Jiang; Chen-Xiang Fan; Tian-Yu Tong; Tao Wang Peng-Cheng Huang Adobe PDF(1787Kb)  |  收藏  |  浏览/下载:255/37  |  提交时间:2021/05/24 Deep learning visual tracking data-invariant data-adaptive general components |
| Contrastive Self-supervised Representation Learning Using Synthetic Data 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 556-567 作者: Dong-Yu She; Kun Xu Adobe PDF(993Kb)  |  收藏  |  浏览/下载:176/41  |  提交时间:2021/07/20 Self-supervised learning contrastive learning synthetic image convolutional neural network representation learning |
| Hybrid Approach to Document Anomaly Detection: An Application to Facilitate RPA in Title Insurance 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 55-72 作者: Abhijit Guha; Debabrata Samanta Adobe PDF(1485Kb)  |  收藏  |  浏览/下载:186/52  |  提交时间:2021/02/23 Anomaly detection title insurance autoencoder one-class support vector machine (OSVM) term frequency – inverse document frequency (TF-IDF) robotic process automation dimensionality reduction |
| Rail Detection Based on LSD and the Least Square Curve Fitting 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 85-95 作者: Yun-Shui Zheng; Yan-Wei Jin 浏览  |  Adobe PDF(1314Kb)  |  收藏  |  浏览/下载:249/84  |  提交时间:2021/02/23 Rail inspection line segment detector (LSD) algorithm the least square curve fitting foreign object detection |
| A Survey on Fault Diagnosis and Fault Tolerant Methodologies for Permanent Magnet Synchronous Machines 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 763-787 作者: Erphan A. Bhuiyan; Md. Maeenul Azad Akhand; Sajal K. Das; Md. F. Ali; Z. Tasneem; Md. R. Islam; D. K. Saha; Faisal R. Badal; Md. H. Ahamed; S. I. Moyeen 浏览  |  Adobe PDF(2346Kb)  |  收藏  |  浏览/下载:187/75  |  提交时间:2021/02/22 Permanent magnet synchronous machine (PMSM) fault diagnosis fault tolerant control system (FTCS) fault detection stability. |
| Automatic Classification of Cardiac Arrhythmias Based on Hybrid Features and Decision Tree Algorithm 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 551-561 作者: Santanu Sahoo; Asit Subudhi; Manasa Dash; Sukanta Sabut 浏览  |  Adobe PDF(1105Kb)  |  收藏  |  浏览/下载:108/34  |  提交时间:2021/02/22 Electrocardiogram (ECG) cardiac arrhythmias empirical mode decomposition (EMD) variational mode decomposition (VMD) hybrid features decision tree classifier. |
| Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 44-54 作者: Chang-Hao Zhu; Jie Zhang 浏览  |  Adobe PDF(1138Kb)  |  收藏  |  浏览/下载:125/44  |  提交时间:2021/02/22 Polymer melt index soft sensor deep learning deep belief network (DBN) unsupervised training. |
| Ground-level Ozone Prediction Using Machine Learning Techniques: A Case Study in Amman, Jordan 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 667-677 作者: Maryam Aljanabi; Mohammad Shkoukani; Mohammad Hijjawi 浏览  |  Adobe PDF(1159Kb)  |  收藏  |  浏览/下载:73/22  |  提交时间:2021/02/22 Ozone prediction machine learning neural networks supervised learning regression. |