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A Survey on Collaborative DNN Inference for Edge Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 370-395
作者:  Wei-Qing Ren;  Yu-Ben Qu;  Chao Dong;  Yu-Qian Jing;  Hao Sun;  Qi-Hui Wu;  Song Guo
Adobe PDF(2969Kb)  |  收藏  |  浏览/下载：63/20  |  提交时间：2024/04/23
Artificial intelligence (AI), edge intelligence (EI), distributed computing, deep neural network (DNN), collaborative inference  
Simulating Tree Plasticity with a Functional-Structural Plant Model: Being Realistic in Behavior 会议论文
, Venice, Italy, Oct.27-Nov.1,2013
作者:  Haoyu Wang;  Jing Hua;  Mengzhen Kang;  Xiujuan Wang;  Philippe de Reffye;  Baogang Hu
Adobe PDF(1219Kb)  |  收藏  |  浏览/下载：79/23  |  提交时间：2023/05/05
A Survey of Underwater Multi-Robot Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 1-18
作者:  Ziye Zhou;  Jincun Liu;  Junzhi Yu
Adobe PDF(1112Kb)  |  收藏  |  浏览/下载：327/122  |  提交时间：2021/11/03
Cooperation  formation control  multi-robot systems (MRS)  taxonomy  underwater robots  underwater tasks  
What are the differences in yield formation among two cucumber (Cucumis sativus L.) cultivars and their F-1 hybrid? 期刊论文
JOURNAL OF INTEGRATIVE AGRICULTURE, 2020, 卷号: 19, 期号: 7, 页码: 1789-1801
作者:  Wang Xiu-juan;  Kang Meng-zhen;  Fan Xing-rong;  Yang Li-le;  Zhang Bao-gui;  Huang San-wen;  De Reffye, Philippe;  Wang Fei-yue
Adobe PDF(4508Kb)  |  收藏  |  浏览/下载：380/77  |  提交时间：2020/07/20
cucumber  biomass production  functional-structural plant model  source-sink ratio  fruit-setting  PSO  heterosis  
Estimating Sink Parameters of Stochastic Functional-Structural Plant Models Using Organic Series-Continuous and Rhythmic Development 期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9, 期号: 1688, 页码: 1-17
作者:  Kang, Mengzhen;  Hua, Jing;  Wang, Xiujuan;  de Reffye, Philippe;  Jaeger, Marc;  Akaffou, Selastique
Adobe PDF(3548Kb)  |  收藏  |  浏览/下载：412/80  |  提交时间：2019/07/12
greenlab  inverse method  source-sink parameters  functional-structural plant model  stochastic development  parameter estimation  
Some Parameter Estimation Issues in Functional-Structural Plant Modelling 期刊论文
Mathematical Modelling of Natural Phenomena, 2011, 卷号: 6, 期号: 2, 页码: 133-159
作者:  Cournede, Paul-Henry;  Letort, Veronique;  Mathieu, Amelie;  Kang, Mengzhen;  Lemaire, S.;  Trevezas, S.;  Houllier, F.;  de Reffye, Philippe
浏览  |  Adobe PDF(750Kb)  |  收藏  |  浏览/下载：243/75  |  提交时间：2018/10/19
Functional-structural Plant Models  Carbon Allocation  Greenlab  Maximum Likelihood Estimator  
Parameter identification of plant growth models with stochastic development 会议论文
, Qingdao, China, 2016-11
作者:  Kang, Mengzhen;  Hua, Jing;  de Reffye, Philippe;  Jaeger, Marc
Adobe PDF(1016Kb)  |  收藏  |  浏览/下载：307/87  |  提交时间：2018/10/19
Variability and regulation of the number of ovules, seeds and pods according to assimilate availability in winter oilseed rape (Brassica napus L.) 期刊论文
Field Crops Research, 2011, 期号: 122, 页码: 60-69
作者:  Wang, Xiujuan;  Mahieu, A.;  Cournede, Paul-Henry;  Allirandd, Jean-Michel;  Jullien, Alexandra;  de Reffye, Philippe;  Zhang, Bao Gui
浏览  |  Adobe PDF(436Kb)  |  收藏  |  浏览/下载：252/82  |  提交时间：2018/10/18
Winter Oilseed Rape  Yield Components  Assimilate Availability  Architectural Effect  
Yield analysis as a function of stochastic plant architecture: Case of Spilanthes acmella in the wet and dry season 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017, 卷号: 138, 期号: 2017, 页码: 105-116
作者:  Vavitsara, Marie Elodie;  Sabatier, Sylvie;  Kang, MengZhen;  Ranarijaona, Hery Lisy Tiana;  de Reffye, Philippe
浏览  |  Adobe PDF(2340Kb)  |  收藏  |  浏览/下载：317/57  |  提交时间：2017/07/18
Greenlab  Plant Architecture  Source-sink Parameters  Model Calibration  Stochastic Method  Functional-structural Plant Model  
Correlation between Dynamic Tomato Fruit Set and Source Sink Ratio: A Common Relationship for Different Plant Densities and Seasons? 期刊论文
Annals of Botany, 2011, 卷号: 107, 期号: 5, 页码: 805-815
作者:  Kang MZ(康孟珍);  Yang, Lili;  Zhang, BaoGui;  de Reffye, Philippe
浏览  |  Adobe PDF(392Kb)  |  收藏  |  浏览/下载：185/44  |  提交时间：2016/04/13
Fruit-set Probability  Functional–structural Plant Model  Inverse Modelling  Plant Plasticity