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Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
作者:  Isaac Baffour Senkyire;  Zhe Liu
Adobe PDF(1308Kb)  |  收藏  |  浏览/下载：255/53  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
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：245/66  |  提交时间：2021/04/22
COVID-19  coronavirus  telepresence  delivery robots  medical robots  
Study on Information Diffusion Analysis in Social Networks and Its Applications 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 377-401
作者:  Biao Chang;  Tong Xu, Qi Liu;  En-Hong Chen
浏览  |  Adobe PDF(1372Kb)  |  收藏  |  浏览/下载：167/60  |  提交时间：2021/02/23
Information diffusion  influence evaluation  influence maximization  information source detection  social network.  
A Fuzzy Neural Network Based Dynamic Data Allocation Model on Heterogeneous Multi-GPUs for Large-scale Computations 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 2, 页码: 181-193
作者:  Chao-Long Zhang;  Yuan-Ping Xu;  Zhi-Jie Xu;  Jia He;  Jing Wang;  Jian-Hua Adu
浏览  |  Adobe PDF(12991Kb)  |  收藏  |  浏览/下载：140/35  |  提交时间：2021/02/23
Heterogeneous GPU cluster  dynamic load balancing  fuzzy neural network  adaptive scheduler  discrete wavelet transform.  
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：252/67  |  提交时间：2021/02/22
Feature engineering  sensor data analysis  Internet of things (IoT) analytics  interpretable learning  automation.  
Localization and Classification of Rice-grain Images Using Region Proposals-based Convolutional Neural Network 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 233-246
作者:  Kittinun Aukkapinyo;  Suchakree Sawangwong;  Parintorn Pooyoi;  Worapan Kusakunniran
浏览  |  Adobe PDF(1162Kb)  |  收藏  |  浏览/下载：228/68  |  提交时间：2021/02/22
Mask region-based convolutional neural networks (R-CNN)  computer vision  deep learning  rice grain classification  transfer learning.  
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：210/43  |  提交时间：2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.  
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 151-178
作者:  Han Xu;  Yao Ma;  Hao-Chen Liu;  Debayan Deb;  Hui Liu;  Ji-Liang Tang;  Anil K. Jain
浏览  |  Adobe PDF(2155Kb)  |  收藏  |  浏览/下载：247/71  |  提交时间：2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.  
Item Ownership Relationship Semantic Learning Strategy for Personalized Service Robot 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 390-402
作者:  Hao Wu;  Zhao-Wei Chen;  Guo-Hui Tian;  Qing Ma;  Meng-Lin Jiao
浏览  |  Adobe PDF(1950Kb)  |  收藏  |  浏览/下载：151/55  |  提交时间：2021/02/22
Service robot  ownership relationship  convolutional neural network  human-object spatial relationship  personalized service.  
A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 321-352
作者:  Madhusmita Panda;  Bikramaditya Das;  Bidyadhar Subudhi;  Bibhuti Bhusan Pati
Adobe PDF(2673Kb)  |  收藏  |  浏览/下载：225/57  |  提交时间：2021/02/22
Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).