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IWSCR: An intelligent water surface cleaner robot for collecting floating garbage 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 期号: 暂无, 页码: 暂无
作者:  Kong SH(孔诗涵)
Adobe PDF(1738Kb)  |  收藏  |  浏览/下载：202/44  |  提交时间：2021/06/21
Deep learning  grasping strategy  intelligent water surface cleaner  robot system  sliding-mode controller (SMC)  
Contextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks 期刊论文
SN Computer Science, 2020, 期号: 1, 页码: 1
作者:  Jun-Yu Ye;  Yan-Ming Zhang;  Qing Yang;  Cheng-Lin Liu
Adobe PDF(2337Kb)  |  收藏  |  浏览/下载：176/61  |  提交时间：2021/03/30
Online handwritten document  stroke classification  graph attention networks  structured prediction  
A Hyper-Heuristic Framework for Lifetime Maximization in Wireless Sensor Networks With A Mobile Sink 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 1, 页码: 223-236
作者:  Jinghui Zhong;  Zhixing Huang;  Liang Feng;  Wan Du;  Ying Li
浏览  |  Adobe PDF(4887Kb)  |  收藏  |  浏览/下载：230/41  |  提交时间：2021/03/11
Genetic programming  hyper-heuristics  static and dynamic networks  wireless sensor networks (WSNs)  
A Local Contrast Fusion Based 3D Otsu Algorithm for Multilevel Image Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 1, 页码: 200-213
作者:  Ashish Kumar Bhandari;  Arunangshu Ghosh;  Immadisetty Vinod Kumar
浏览  |  Adobe PDF(55615Kb)  |  收藏  |  浏览/下载：157/31  |  提交时间：2021/03/11
1D Otsu  2D Otsu  3D Otsu  image fusion  local contrast  multi-level image segmentation  
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:  Shen, Tianyu;  Wang, Jiangong;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3530Kb)  |  收藏  |  浏览/下载：345/76  |  提交时间：2021/03/02
Image segmentation  Biomedical imaging  Fuzzy sets  Breast cancer  Breast cancer  deep learning (DL)  fuzzy classifier (FC)  interval type-2 possibilistic fuzzy c-means (IT2PFCM)  
Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 44-54
作者:  Chang-Hao Zhu;  Jie Zhang
浏览  |  Adobe PDF(1138Kb)  |  收藏  |  浏览/下载：153/50  |  提交时间：2021/02/22
Polymer melt index  soft sensor  deep learning  deep belief network (DBN)  unsupervised training.  
Spectral-spatial Classification of Hyperspectral Images Using Signal Subspace Identification and Edge-preserving Filter 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 222-232
作者:  Negin Alborzi;  Fereshteh Poorahangaryan;  Homayoun Beheshti
浏览  |  Adobe PDF(1128Kb)  |  收藏  |  浏览/下载：173/57  |  提交时间：2021/02/22
Hyperspectral image  remote sensing  the hyperspectral signal subspace identification (HYSIME)  edge-preserving filter  classification  support vector machine.  
Text-mining-based Fake News Detection Using Ensemble Methods 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 210-221
作者:  Harita Reddy;  Namratha Raj;  Manali Gala;  Annappa Basava
浏览  |  Adobe PDF(1101Kb)  |  收藏  |  浏览/下载：337/128  |  提交时间：2021/02/22
Fake news  social media  stylometric features  word vectors  ensemble methods.  
Hybrid Dynamic Neural Network and PID Control of Pneumatic Artificial Muscle Using the PSO Algorithm 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 428-438
作者:  Mahdi Chavoshian;  Mostafa Taghizadeh;  Mahmood Mazare
浏览  |  Adobe PDF(2564Kb)  |  收藏  |  浏览/下载：140/58  |  提交时间：2021/02/22
Dynamic neural network (DNN) control  hybrid control  pneumatic muscle  particle swarm optimization  sliding mode control.  
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：225/57  |  提交时间：2021/02/22
Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).