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Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review 期刊论文
BRAIN RESEARCH, 2024, 卷号: 1823, 页码: 13
作者:  Chen, Pindong;  Zhang, Shirui;  Zhao, Kun;  Kang, Xiaopeng;  Rittman, Timothy;  Liu, Yong
收藏  |  浏览/下载：41/0  |  提交时间：2024/02/22
Neurodegenerative diseases  Alzheimer's disease  Heterogeneity  Subtype  Data-driven  
Synergetic learning for unknown nonlinear H. control using neural networks 期刊论文
NEURAL NETWORKS, 2023, 卷号: 168, 页码: 287-299
作者:  Zhu, Liao;  Guo, Ping;  Wei, Qinglai
收藏  |  浏览/下载：59/0  |  提交时间：2023/12/21
H. control  Nonlinear systems  Adaptive dynamic programming  Temporal difference  Neural network  Data-driven  
Learning for Depth Control of a Robotic Penguin: A Data-Driven Model Predictive Control Approach 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 11, 页码: 11422-11432
作者:  Pan, Jie;  Zhang, Pengfei;  Wang, Jian;  Liu, Mingxin;  Yu, Junzhi
收藏  |  浏览/下载：32/0  |  提交时间：2023/11/17
Data-driven model predictive control (MPC)  depth control  motion control  reinforcement learning (RL)  robotic penguin  
Linearizing Battery Degradation for Health-Aware Vehicle Energy Management 期刊论文
IEEE TRANSACTIONS ON POWER SYSTEMS, 2023, 卷号: 38, 期号: 5, 页码: 4890-4899
作者:  Li, Shuangqi;  Zhao, Pengfei;  Gu, Chenghong;  Huo, Da;  Li, Jianwei;  Cheng, Shuang
收藏  |  浏览/下载：76/0  |  提交时间：2023/11/17
Electric vehicle  battery energy storage system  battery aging  model-data-driven method  energy management  vehicle to grid  
Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11
作者:  Li, Hongyang;  Wei, Qinglai
收藏  |  浏览/下载：46/0  |  提交时间：2023/11/17
Index Terms- Output cluster synchronization control  data-driven control  adaptive dynamic programming  policy iteration  heterogeneous multi-agent systems  optimal control  
Machine learning versus crop growth models: an ally, not a rival 期刊论文
AOB PLANTS, 2023, 卷号: 15, 期号: 2, 页码: 7
作者:  Zhang, Ningyi;  Zhou, Xiaohan;  Kang, Mengzhen;  Hu, Bao-Gang;  Heuvelink, Ep;  Marcelis, Leo F. M.
收藏  |  浏览/下载：32/0  |  提交时间：2023/11/17
Knowledge  and data-driven modelling  Machine learning  Process-based models  yield prediction  
The Development of AgriVerse: Past, Present, and Future 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10
作者:  Kang, Mengzhen;  Wang, Xiujuan;  Wang, Haoyu;  Hua, Jing;  de Reffye, Philippe;  Wang, Fei-Yue
Adobe PDF(4290Kb)  |  收藏  |  浏览/下载：250/70  |  提交时间：2023/02/22
Computational modeling  Biological systems  Biomass  Biological system modeling  Production  Plants (biology)  Metaverse  Agricultural metaverse (AgriVerse)  agriculture cyber-physical-social system (CPSS)  artificial systems  computational experiments  and parallel execution (ACP)  decentralized science (DeSci)  knowledge-and-data driven modeling  parallel agriculture  plant model  
Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
作者:  Wang, Huanjie;  Bai, Xiwei;  Wang, Sihan;  Tan, Jie;  Liu, Chengbao
Adobe PDF(3477Kb)  |  收藏  |  浏览/下载：230/43  |  提交时间：2022/06/06
Data-driven fault diagnosis  Domain generalization  Model-agnostic learning  Rolling bearing  
Data-driven approaches to neuroimaging biomarkers for neurological and psychiatric disorders: emerging approaches and examples 期刊论文
CURRENT OPINION IN NEUROLOGY, 2021, 卷号: 34, 期号: 4, 页码: 469-479
作者:  Calhoun, Vince D.;  Pearlson, Godfrey D.;  Sui, Jing
收藏  |  浏览/下载：160/0  |  提交时间：2021/08/15
data driven  data fusion  dynamics  multimodal  neuroimaging biomarkers  
Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method 期刊论文
ENERGY, 2020, 卷号: 212, 页码: 13
作者:  Li, Chengdong;  Zhou, Changgeng;  Peng, Wei;  Lv, Yisheng;  Luo, Xin
收藏  |  浏览/下载：197/0  |  提交时间：2021/03/08
PV power generation prediction  Deep fuzzy model  Double input rule module  Data driven method  Least square method