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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  
Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 973-980
作者:  Cong-Zhong Wu;  Jun Sun;  Jing Wang;  Liang-Feng Xu;  Shu Zhan
Adobe PDF(1416Kb)  |  收藏  |  浏览/下载:204/48  |  提交时间:2021/11/26
Retina vessel segmentation  deep learning  U-Net  attention mechanism  medical image  
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  
Robust Optimal Higher-order-observer-based Dynamic Sliding Mode Control for VTOL Unmanned Aerial Vehicles 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 802-813
作者:  Yashar Mousavi;  Amin Zarei;  Arash Mousavi;  Mohsen Biari
Adobe PDF(4822Kb)  |  收藏  |  浏览/下载:225/46  |  提交时间:2021/09/13
Unmanned aerial vehicle  dynamic sliding mode  trajectory tracking  fractional firefly algorithm  vertical take-off and landing system  
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:212/69  |  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  
Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456
作者:  Ai-Hua Zheng;  Zi-Han Chen;  Cheng-Long Li;  Jin Tang;  Bin Luo
Adobe PDF(1832Kb)  |  收藏  |  浏览/下载:298/68  |  提交时间:2021/05/24
Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning  
Research on Transfer Learning of Vision-based Gesture Recognition 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 422-431
作者:  Bi-Xiao Wu;  Chen-Guang Yang;  Jun-Pei Zhong
Adobe PDF(1688Kb)  |  收藏  |  浏览/下载:300/67  |  提交时间:2021/05/24
Transfer learning  gesture recognition  red-green-blue (RGB) Camera  Leap Motion  joint distribution adaptation (JDA)  
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:232/52  |  提交时间:2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning