CASIA OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
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:237/56  |  提交时间:2022/08/01
Complex activation function  complex backpropagation algorithm  complex-valued learning algorithm  complex-valued neural network  deep learning  
Cyberbullying and Cyberviolence Detection: A Triangular User-Activity-Content View 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1384-1405
作者:  Shuwen Wang;  Xingquan Zhu;  Weiping Ding;  Amir Alipour Yengejeh
Adobe PDF(10999Kb)  |  收藏  |  浏览/下载:176/25  |  提交时间:2022/08/01
Classification  clustering  cyberbullying  natural language processing  social network  
Networked Knowledge and Complex Networks: An Engineering View 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1366-1383
作者:  Jinhu Lü;  Guanghui Wen;  Ruqian Lu;  Yong Wang;  Songmao Zhang
Adobe PDF(1876Kb)  |  收藏  |  浏览/下载:188/32  |  提交时间:2022/08/01
Complex network  knowledge graph  networked knowledge  neural network  
Energy Theft Detection in Smart Grids: Taxonomy, Comparative Analysis, Challenges, and Future Research Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 4, 页码: 578-600
作者:  Mohsin Ahmed, Abid Khan, Mansoor Ahmed, Mouzna Tahir, Gwanggil Jeon, Giancarlo Fortino, Francesco Piccialli
Adobe PDF(2767Kb)  |  收藏  |  浏览/下载:209/60  |  提交时间:2022/03/09
Challenges,comparative analysis,energy theft detection,future research directions,smart grid,taxonomy  
Cyber Security Intrusion Detection for Agriculture 4.0: Machine Learning-Based Solutions, Datasets, and Future Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 407-436
作者:  Mohamed Amine Ferrag;  Lei Shu;  Othmane Friha;  Xing Yang
Adobe PDF(23596Kb)  |  收藏  |  浏览/下载:185/18  |  提交时间:2022/03/09
Agriculture 4.0  cyber security  intrusion detection system  machine learning approaches  smart agriculture