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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：1/0  |  提交时间：2024/04/23
Artificial intelligence (AI) art, audio-visual, artificial intelligence generated content (AIGC), multimodal, artistic evaluation  
Hyperspectral Image Super-Resolution Meets Deep Learning: A Survey and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1668-1691
作者:  Xinya Wang;  Qian Hu;  Yingsong Cheng;  Jiayi Ma
Adobe PDF(22541Kb)  |  收藏  |  浏览/下载：74/18  |  提交时间：2023/07/20
Deep learning  hyperspectral image  image fusion  image super-resolution  survey  
Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 603-631
作者:  Qinghai Miao;  Yisheng Lv;  Min Huang;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(11937Kb)  |  收藏  |  浏览/下载：799/144  |  提交时间：2023/03/02
Machine learning  parallel learning  parallel systems  sim-to-real  syn-to-real  virtual-to-real  
Complex-Valued Neural Networks: A Comprehensive Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1406-1426
作者:  ChiYan Lee;  Hideyuki Hasegawa;  Shangce Gao
Adobe PDF(1612Kb)  |  收藏  |  浏览/下载：181/38  |  提交时间：2022/08/01
Complex activation function  complex backpropagation algorithm  complex-valued learning algorithm  complex-valued neural network  deep learning  
A Triangulation-Based Visual Localization for Field Robots 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 1083-1086
作者:  James Liang;  Yuxing Wang;  Yingjie Chen;  Baijian Yang;  Dongfang Liu
Adobe PDF(2958Kb)  |  收藏  |  浏览/下载：150/38  |  提交时间：2022/05/30
Domain-Invariant Similarity Activation Map Contrastive Learning for Retrieval-Based Long-Term Visual Localization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 313-328
作者:  Hanjiang Hu;  Hesheng Wang;  Zhe Liu;  Weidong Chen
Adobe PDF(20920Kb)  |  收藏  |  浏览/下载：228/44  |  提交时间：2021/11/03
Deep representation learning  place recognition  visual localization  
Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 718-752
作者:  Othmane Friha;  Mohamed Amine Ferrag;  Lei Shu;  Leandros Maglaras;  Xiaochan Wang
Adobe PDF(46102Kb)  |  收藏  |  浏览/下载：184/28  |  提交时间：2021/04/09
Agricultural internet of things (IoT)  internet of things (IoT)  smart agriculture  smart farming  sustainable agriculture  
Computational Intelligence in Remote Sensing Image Registration: A survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 1-17
作者:  Yue Wu;  Jun-Wei Liu;  Chen-Zhuo Zhu;  Zhuang-Fei Bai;  Qi-Guang Miao;  Wen-Ping Ma;  Mao-Guo Gong
浏览  |  Adobe PDF(995Kb)  |  收藏  |  浏览/下载：237/63  |  提交时间：2021/02/23
Computational intelligence  evolutionary computation  neural network  deep learning  remote sensing image registration  
A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 273-302
作者:  Xing Yang;  Lei Shu;  Jianing Chen;  Mohamed Amine Ferrag;  Jun Wu;  Edmond Nurellari;  Kai Huang
Adobe PDF(61519Kb)  |  收藏  |  浏览/下载：158/17  |  提交时间：2021/04/09
Agricultural artificial intelligence  agricultural automation  agricultural Internet of Things  security  smart agriculture  
Influence of Data Clouds Fusion From 3D Real-Time Vision System on Robotic Group Dead Reckoning in Unknown Terrain 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 368-385
作者:  Mykhailo Ivanov;  Oleg Sergyienko;  Vera Tyrsa;  Lars Lindner;  Wendy Flores-Fuentes;  Julio Cesar Rodríguez-Quiñonez;  Wilmar Hernandez;  Paolo Mercorelli
浏览  |  Adobe PDF(19362Kb)  |  收藏  |  浏览/下载：183/56  |  提交时间：2021/03/11
Data transfer  group behavior  machine vision  navigation  robotic group (RG)  vision system