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Collective Movement Simulation: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 452-480
作者:  Hua Wang;  Xing-Yu Guo;  Hao Tao;  Ming-Liang Xu
Adobe PDF(1439Kb)  |  收藏  |  浏览/下载：13/7  |  提交时间：2024/05/23
Collective movement simulation, multiple objects, multiple discipline, simulation effect, collective intelligence  
Cogeneration of Innovative Audio-visual Content: A New Challenge for Computing Art 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 4-28
作者:  Mengting Liu;  Ying Zhou;  Yuwei Wu;  Feng Gao
Adobe PDF(14438Kb)  |  收藏  |  浏览/下载：25/1  |  提交时间：2024/04/23
Artificial intelligence (AI) art, audio-visual, artificial intelligence generated content (AIGC), multimodal, artistic evaluation  
Dynamic Movement Primitives Based Robot Skills Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 396-407
作者:  Ling-Huan Kong;  Wei He;  Wen-Shi Chen;  Hui Zhang;  Yao-Nan Wang
Adobe PDF(3181Kb)  |  收藏  |  浏览/下载：23/5  |  提交时间：2024/04/23
Dynamic movement primitives (DMPs), trajectory tracking control, robot learning from demonstrations, neural networks (NNs), adaptive control  
EEG-based Emotion Recognition Using Multiple Kernel Learning 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 472-484
作者:  Qian Cai;  Guo-Chong Cui;  Hai-Xian Wang
Adobe PDF(1939Kb)  |  收藏  |  浏览/下载：14/6  |  提交时间：2024/04/23
Emotion recognition  electroencephalography (EEG)  multiple kernel learning  machine learning  brain computer interface  
Knowledge Mining: A Cross-disciplinary Survey 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 2, 页码: 89-114
作者:  Yong Rui;  Vicente Ivan Sanchez Carmona;  Mohsen Pourvali;  Yun Xing;  Wei-Wen Yi;  Hui-Bin Ruan;  Yu Zhang
Adobe PDF(1635Kb)  |  收藏  |  浏览/下载：22/5  |  提交时间：2024/04/23
Knowledge mining  knowledge extraction  information extraction  association rule  interpretability  
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：111/29  |  提交时间：2021/02/23
Deep learning  healthcare  electronic health records (EHR)  neural networks  survey.  
Control of a Two-wheeled Machine with Two-directions Handling Mechanism Using PID and PD-FLC Algorithms 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 511-533
作者:  Khaled M. Goher;  Sulaiman O. Fadlallah
浏览  |  Adobe PDF(2563Kb)  |  收藏  |  浏览/下载：131/44  |  提交时间：2021/02/22
Two-wheeled inverted pendulum (IP) with two direction handling  Lagrangian formulation  proportional-integral-derivative (PID)  fuzzy logic control (FLC)  under-actuated systems.  
Synthesizing Robot Programs with Interactive Tutor Mode 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 462-474
作者:  Hao Li;  Yu-Ping Wang;  Tai-Jiang Mu
浏览  |  Adobe PDF(1023Kb)  |  收藏  |  浏览/下载：124/50  |  提交时间：2021/02/22
Human-robot interaction  semantic parsing  program synthesis  intelligent robotic systems  natural language understanding.  
Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122
作者:  Sajjad Afrakhteh;  Mohammad-Reza Mosavi;  Mohammad Khishe;  Ahmad Ayatollahi
浏览  |  Adobe PDF(1536Kb)  |  收藏  |  浏览/下载：149/57  |  提交时间：2021/02/22
Brain-computer interface (BCI)  classification  electroencephalography (EEG)  gravitational search algorithm (GSA)  multi-layer perceptron neural network (MLP-NN)  particle swarm optimization.  
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
浏览  |  Adobe PDF(2673Kb)  |  收藏  |  浏览/下载：201/51  |  提交时间：2021/02/22
Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).