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From dynamics to sustainability: Modeling the shrimp
(Penaeus
chinensis)
fishery in Shandong, China
期刊论文
ECOLOGICAL MODELLING, 2024, 卷号: 489, 页码: 8
作者:
Liu, Xin
;
Geng, Ruiying
;
Lv, Xin
;
Hu, Xiaoke
;
Do, Thang Nam
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/05/07
Shrimp fishery
System dynamic model
Sustainable management
Fishing policy
Stock enhancement program
Fishing ban duration
Dynamic adaptive multi-objective optimization algorithm based on type detection
期刊论文
INFORMATION SCIENCES, 2024, 卷号: 654, 页码: 16
作者:
Cai, Xingjuan
;
Wu, Linjie
;
Zhao, Tianhao
;
Wu, Di
;
Zhang, Wensheng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Adaptive response strategy
Type detection
Dynamic multi-objective optimization
Transfer learning
Effects of Wind Stress Uncertainty on Short-Term Prediction of the Kuroshio Extension State Transition Process
期刊论文
JOURNAL OF PHYSICAL OCEANOGRAPHY, 2023, 卷号: 53, 期号: 12, 页码: 2751-2771
作者:
Zhang, Hui
;
Wang, Qiang
;
Mu, Mu
;
Zhang, Kun
;
Geng, Yu
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  |  
浏览/下载:0/0
  |  
提交时间:2024/04/07
Wind
Forecast verification/skill
Numerical weather prediction/forecasting
Mesoscale models
Digger: A Graph Contraction Algorithm for Patrolling Games
期刊论文
IEEE TRANSACTIONS ON RELIABILITY, 2023, 页码: 13
作者:
Han, Jinpeng
;
Wang, Zhen
;
Chen, Xiaoguang
;
Yang, Manzhi
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/02/22
Games
Security
Game theory
Resource management
Runtime
Roads
Cyberspace
Graph contraction
minimum vertex cut
patrolling game
security game
Stackelberg game
A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 11428-11442
作者:
Zhou, Benjia
;
Wang, Pichao
;
Wan, Jun
;
Liang, Yanyan
;
Wang, Fan
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/11/16
Spatiotemporal phenomena
Representation learning
Training
Optimization
Task analysis
Three-dimensional displays
Solid modeling
Complement feature
late fusion
motion recognition
RGB-D
video augmentation
A crosswalk on the genetic and conventional strategies for enhancing astaxanthin production in
Haematococcus pluvialis
期刊论文
CRITICAL REVIEWS IN BIOTECHNOLOGY, 2023
作者:
Acheampong, Adolf
;
Li, Lamei
;
Elsherbiny, Shereen M.
;
Wu, Yahui
;
Swallah, Mohammed Sharif
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/10
Haematococcus pluvialis
astaxanthin
genetic engineering
mutagenesis
transcriptome analysis
phytohormones
Biotechnologies for bulk production of microalgal biomass: from mass cultivation to dried biomass acquisition
期刊论文
BIOTECHNOLOGY FOR BIOFUELS AND BIOPRODUCTS, 2023, 卷号: 16, 期号: 1, 页码: 25
作者:
Qin, Song
;
Wang, Kang
;
Gao, Fengzheng
;
Ge, Baosheng
;
Cui, Hongli
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  |  
浏览/下载:0/0
  |  
提交时间:2024/01/26
Microalgal biotechnology
Biomass
Cultivation
Harvesting
Drying
Biological contaminant control
Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China
期刊论文
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2023, 页码: 9
作者:
Yao, Yao
;
Zhou, Hanchu
;
Cao, Zhidong
;
Zeng, Daniel Dajun
;
Zhang, Qingpeng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Covid-19
reinforcement learning
artificial intelligence
machine learning
mathematical modelling
infectious diseases
Novel comprehensive variable selection algorithm based on multi-weight vector optimal selection and bootstrapping soft shrinkage
期刊论文
Infrared Physics and Technology, 2023
作者:
Pengfei Zhang
;
Zhuopin Xu
;
Huimin Ma
;
Weimin Cheng
;
Xiaohong Li
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/14
Chemometrics
Variable selection
Near-infrared spectroscopy
Network-Wide Traffic Signal Control Based on MARL With Hierarchical Nash-Stackelberg Game Model
期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 145085-145100
作者:
Shen, Hui
;
Zhao, Hongxia
;
Zhang, Zundong
;
Yang, Xun
;
Song, Yutong
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/02/22
Games
Roads
Approximation algorithms
Q-learning
Multi-agent systems
Process control
Optimization
Reinforcement learning
Traffic control
Network-wide traffic signal control
hierarchical game model
multi-agent reinforcement learning
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