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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：236/49  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
Fuzzy Tuned PID Controller for Envisioned Agricultural Manipulator 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 568-580
作者:  Satyam Paul;  Ajay Arunachalam;  Davood Khodadad;  Henrik Andreasson;  Olena Rubanenko
Adobe PDF(1952Kb)  |  收藏  |  浏览/下载：183/57  |  提交时间：2021/07/20
Proportional-integral-differential (PID) controller  fuzzy logic  precision agriculture  vibration control  stability analysis  modular manipulator  agricultural robot  computer numerical control (CNC) farming  
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：212/43  |  提交时间：2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
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：280/41  |  提交时间：2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
Why Deep Neural Nets Cannot Ever Match Biological Intelligence and What To Do About It? 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 532-541
作者:  Danko Nikolic
浏览  |  Adobe PDF(349Kb)  |  收藏  |  浏览/下载：123/21  |  提交时间：2021/02/23
Artificial intelligence  neural networks  strong artificial intelligence  practopoiesis, machine learning.  
An Effective Density Based Approach to Detect Complex Data Clusters Using Notion of Neighborhood Difference 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 57-67
作者:  S. Nagaraju;  Manish Kashyap;  Mahua Bhattachraya
Adobe PDF(30557Kb)  |  收藏  |  浏览/下载：137/34  |  提交时间：2021/02/23
Density based clustering  neighborhood difference  density-based spatial clustering of applications with noise (DBSCAN)  space density indexing (SDI)  core object.  
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
Adobe PDF(1314Kb)  |  收藏  |  浏览/下载：279/94  |  提交时间：2021/02/23
Rail inspection  line segment detector (LSD) algorithm  the least square  curve fitting  foreign object detection  
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
Adobe PDF(692Kb)  |  收藏  |  浏览/下载：120/33  |  提交时间：2021/02/23
Deep learning  healthcare  electronic health records (EHR)  neural networks  survey.  
Genetic Programming-based Self-reconfiguration Planning for Metamorphic Robot 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 431-442
作者:  Tarek Ababsa;  Noureddine Djedl;  Yves Duthen
Adobe PDF(2672Kb)  |  收藏  |  浏览/下载：120/47  |  提交时间：2021/02/23
Modular robots  unit-compressible modules  self-reconfiguration  genetic programming  reconfiguration planning.  
Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 310-324
作者:  J. Gimenez;  A. Amicarelli;  J. M. Toibero;  F. di Sciascio;  R. Carelli
浏览  |  Adobe PDF(1975Kb)  |  收藏  |  浏览/下载：134/45  |  提交时间：2021/02/23
Simultaneous localization and mapping  Markov random fields  iterated conditional modes  modelling  on-line solver.