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An Immersive Virtual Reality System for Rodents in Behavioral and Neural Research 期刊论文
International Journal of Automation and Computing, 2021, 期号: 18(5), 页码: 838-848
作者:  Li Liu;  Zi-yang Wang;  Yu Liu;  Chun Xu
Adobe PDF(1271Kb)  |  收藏  |  浏览/下载：307/87  |  提交时间：2022/04/07
Virtual space  flexible control  multi-sensory interactions  visual programming  context cognition  
Data Augmentation and Deep Neuro-fuzzy Network for Student Performance Prediction with MapReduce Framework 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 981-992
作者:  Amlan Jyoti Baruah;  Siddhartha Baruah
Adobe PDF(1583Kb)  |  收藏  |  浏览/下载：229/53  |  提交时间：2021/11/26
Educational data mining (EDA)  MapReduce framework  deep neuro-fuzzy network  student performance  data augmentation  
Research on Voiceprint Recognition of Camouflage Voice Based on Deep Belief Network 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 947-962
作者:  Nan Jiang;  Ting Liu
Adobe PDF(1905Kb)  |  收藏  |  浏览/下载：245/55  |  提交时间：2021/11/26
Disguised voice recognition  deep belief network  feature extraction  Gammatone frequency cepstrum coefficients (GFCC)  dropout  
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  
Dynamic Event-triggered Control and Estimation: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886
作者:  Xiaohua Ge;  Qing-Long Han;  Xian-Ming Zhang;  Derui Ding
Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：235/42  |  提交时间：2021/11/26
Networked systems  dynamic event-triggered control  dynamic event-triggered estimation  dynamic event-triggered mechanisms  vehicle active suspension system  water distribution and supply system  
Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 694-717
作者:  Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi
Adobe PDF(9772Kb)  |  收藏  |  浏览/下载：233/58  |  提交时间：2021/09/13
Water demand forecasting  water transfer network  supervisory control and data acquisition  water management, multi-core artificial neural network, fuzzy inference system  
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：233/52  |  提交时间：2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
A Tracking Registration Method for Augmented Reality Based on Multi-modal Template Matching and Point Clouds 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 288-299
作者:  Peng-Xia Cao, Wen-Xin Li, Wei-Ping Ma
Adobe PDF(1402Kb)  |  收藏  |  浏览/下载：212/64  |  提交时间：2021/04/22
Augmented reality  markerless  tracking registration  LineMod  iterative closest point (ICP) algorithm  
Image Inpainting Based on Structural Tensor Edge Intensity Model 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 256-265
作者:  Jing Wang, Yan-Hong Zhou, Hai-Feng Sima, Zhan-Qiang Huo, Ai-Zhong Mi
Adobe PDF(1679Kb)  |  收藏  |  浏览/下载：210/59  |  提交时间：2021/04/22
Exemplar-based technique  image inpainting  structural tensor  edge intensity model  structure propagation  balance operator  
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：140/29  |  提交时间：2021/02/23
Artificial intelligence  neural networks  strong artificial intelligence  practopoiesis, machine learning.