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上海科技大学知识管理系统
ShanghaiTech University Knowledge Management System
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Research on Agents Decision-making Ability based on Adaptive Deep Learning
会议论文
ACM INTERNATIONAL CONFERENCE PROCEEDING SERIES, Singapore, Singapore, August 7, 2024 - August 9, 2024
作者:
Chen, Qianyu
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浏览/下载：2/0
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提交时间：2025/04/25
Contrastive Learning
Convolutional neural networks
Deep learning
Efficiency
Federated learning
Reinforcement learning
Adaptive decision making
Adaptive deep learning
Changing environment
Convolutional neural network
Decision-making ability
Decisions makings
Experience replay
Intelligence decision
Policy optimization
Research results
AI-Empowered Policy for Science & Technology Decision Intelligence —Developing New Quality Productive Forces for Knowledge Services
期刊论文
DATA ANALYSIS AND KNOWLEDGE DISCOVERY, 2024, 卷号: 8, 期号: 3, 页码: 1-9
作者:
Xiaolin, Zhang
Adobe PDF(1194Kb)
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浏览/下载：286/0
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提交时间：2024/04/26
Artificial intelligence
Computation theory
Decision making
Efficiency
Genes
Metadata
Quality control
AI for P4ST chain of analyze
Decision-making genomic model
Decisions makings
Genomics
Knowledge service
Language model
New quality productive force decision intelligence
Policy for science and technology
Science and Technology
Science technologies
AI赋能的P4ST决策智能分析：寻找知识服务的新质生产力
期刊论文
数据分析与知识发现, 2024, 卷号: 8, 期号: 03, 页码: 1-9
作者:
张晓林
Adobe PDF(1726Kb)
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浏览/下载：272/2
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提交时间：2024/08/09
Artificial intelligence
Computation theory
Decision making
Efficiency
Genes
Metadata
Quality control
AI for P4ST chain of analyze
Decision-making genomic model
Decisions makings
Genomics
Knowledge service
Language model
New quality productive force decision intelligence
Policy for science and technology
Science and Technology
Science technologies
Benchmarking Data Science Agents
会议论文
PROCEEDINGS OF THE ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, Bangkok, Thailand, August 11, 2024 - August 16, 2024
作者:
Zhang, Yuge
;
Jiang, Qiyang
;
Han, Xingyu
;
Chen, Nan
;
Yang, Yuqing
收藏
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浏览/下载：282/0
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提交时间：2024/10/11
Data assimilation
Data consistency
Analytical process
Annotation methods
Benchmarking data
Data driven decision
Decisions makings
Language model
Performance
Real-world
Privacy-Preserving Edge Intelligence: A Perspective of Constrained Bandits
会议论文
IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, Dubai, United Arab Emirates, 21-24 April 2024
作者:
Tianyi Zhang
;
Shangshang Wang
;
YInxv Tang
;
Ziyu Shao
;
Yang Yang
收藏
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浏览/下载：298/0
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提交时间：2024/03/15
Budget control
Decision making
Privacy-preserving techniques
Decisions makings
Edge intelligence
End-devices
Information sharing
Modeling features
Network edges
Privacy concerns
Privacy preservation
Privacy preserving
User privacy
MARLens: Understanding Multi-Agent Reinforcement Learning for Traffic Signal Control Via Visual Analytics
期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2024, 卷号: PP, 期号: 99, 页码: 1-16
作者:
Zhang, Yutian
;
Zheng, Guohong
;
Liu, Zhiyuan
;
Li, Quan
;
Zeng, Haipeng
Adobe PDF(9865Kb)
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浏览/下载：229/0
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提交时间：2024/05/11
Fertilizers
Multi agent systems
Reinforcement learning
Traffic congestion
Traffic signals
Visualization
Adaptation models
Decision-making process
Decisions makings
Multi agent
Multi-agent reinforcement learning
Reinforcement learnings
Traffic signal control
Visual analytics
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 卷号: PP, 期号: 99, 页码: 1-6
作者:
Yang Huang
;
Miaomiao Dong
;
Yijie Mao
;
Wenqiang Liu
;
Zhen Gao
Adobe PDF(507Kb)
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浏览/下载：329/47
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提交时间：2024/03/29
Unmanned aerial vehicle
mobile edge computing
trajectory planning
offloading scheduling
multi-objective reinforcement learning
Antennas
Deep neural networks
Energy efficiency
Energy utilization
Job analysis
Mobile edge computing
Optimization
Reinforcement learning
Trajectories
Unmanned aerial vehicles (UAV)
Aerial vehicle
Decisions makings
Dynamic scheduling
Multi objective
Multi-objective reinforcement learning
Offloading scheduling
Processor scheduling
Reinforcement learnings
Task analysis
Trajectory Planning
Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy
期刊论文
APPLIED ENERGY, 2023, 卷号: 350
作者:
Sun, Shaolong
;
Du, Zongjuan
;
Jin, Kun
;
Li, Hongtao
;
Wang, Shouyang
Adobe PDF(9732Kb)
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收藏
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浏览/下载：288/0
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提交时间：2023/09/08
Decision making
Deep learning
Sensitivity analysis
Weather forecasting
Wind power
Decisions makings
Deep learning
Extraction method
Factor extraction
Indirect strategy
Multi-factor
Power
Short-term wind power forecasting
Spatiotemporal factor
Wind power forecasting
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