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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：145/43  |  提交时间：2023/07/04
Digital camouflage  spraying robot  path optimization  parameter setting  coating thickness uniformity  
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：219/48  |  提交时间：2021/11/26
Abdominal organ, supervised segmentation  semi-supervised segmentation  evaluation metrics  image segmentation  machine learning  
A Spatial Cognitive Model that Integrates the Effects of Endogenous and Exogenous Information on the Hippocampus and Striatum 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 632-644
作者:  Jing Huang;  He-Yuan Yang;  Xiao-Gang Ruan;  Nai-Gong Yu;  Guo-Yu Zuo;  Hao-Meng Liu
Adobe PDF(1915Kb)  |  收藏  |  浏览/下载：194/55  |  提交时间：2021/07/20
Exogenous and endogenous information  hippocampus, striatum  spatial cognition  brain-inspired computation  
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：113/17  |  提交时间：2021/02/23
Artificial intelligence  neural networks  strong artificial intelligence  practopoiesis, machine learning.  
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
浏览  |  Adobe PDF(692Kb)  |  收藏  |  浏览/下载：110/29  |  提交时间：2021/02/23
Deep learning  healthcare  electronic health records (EHR)  neural networks  survey.  
Optimal Design of Fuzzy-AGC Based on PSO & RCGA to Improve Dynamic Stability of Interconnected Multi-area Power Systems 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 599-609
作者:  Ali Darvish Falehi
浏览  |  Adobe PDF(3763Kb)  |  收藏  |  浏览/下载：131/40  |  提交时间：2021/02/22
Power system dynamic stability  fuzzy logic automatic generation control (FLAGC)  particle swarm optimization (PSO)  real coded genetic algorithm (RCGA)  simultaneous coordination scheme.