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检索条件"机构=Jiangsu Key Lab of Big Data and Security and Intelligent Processing"
240 条 记 录,以下是161-170 订阅
排序:
BLRGCN: A dynamic traffic flow prediction model based on spatiotemporal graph convolutional network
BLRGCN: A dynamic traffic flow prediction model based on spa...
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IEEE International Conference on data Mining Workshops (ICDM Workshops)
作者: Qiuhao Shi Xiaolong Xu Xuanyan Liu Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China
Because of the complex topology of urban road and the dynamic changes of traffic information over time, how to accurately and efficiently predict traffic flow has become a difficult problem. In order to capture spatio...
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Network data Classification Mechanism for Intrusion Detection System
Network Data Classification Mechanism for Intrusion Detectio...
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International Conference on Computer Supported Cooperative Work in Design
作者: Shuai Jiang Xiaolong Xu Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China
Intrusion detection system (IDS), as a network security device, monitors network data in real time and responds actively when it detects suspicious transmissions. However, suffered from the large amount of redundancy ... 详细信息
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Flight Path Optimization for UAVs to Provide Location Service to Ground Targets
Flight Path Optimization for UAVs to Provide Location Servic...
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IEEE Conference on Wireless Communications and Networking
作者: Youpeng Wang Xiaojun Zhu Lijie Xu College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts and Telecommunications China
We consider using UAVs to provide location service to ground targets. UAVs fly over the target area and broadcast their locations periodically via wireless signals. When a UAV flies along a straight line, a target wil...
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FP-WDDQN: An improved deep reinforcement learning algorithm for adaptive traffic signal control
FP-WDDQN: An improved deep reinforcement learning algorithm ...
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IEEE International Conference on data Mining Workshops (ICDM Workshops)
作者: Xiao Zhang Xiaolong Xu Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China
Current adaptive traffic signal control methods based on centralized deep reinforcement learning are not applicable in large-scale adaptive traffic control environment. The scalability problem is overcome by assigning...
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Lightweight EEG Classification Model Based on EEG-sensor with Few Channels
Lightweight EEG Classification Model Based on EEG-sensor wit...
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International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC
作者: Haoyan Xu Xiaolong Xu Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China
In the traditional work, based on EEG Sensors monitoring the physiological and emotional state of humans, the time-frequency analysis method is usually used to extract the characteristics of the signal, and then analy... 详细信息
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Lgccn: A label-Guided Contrastive Capsule Network for Few-Shot Text Classification
SSRN
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SSRN 2023年
作者: Xu, Yang Xu, Xiaolong Xiao, Fu Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China
Few-shot text classification aims to learn transferable knowledge from a limited dataset to perform classification tasks in unseen domains. Recently, metric-based meta-learning methods have demonstrated their advantag... 详细信息
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A Variance Minimization Approach to Temporal-Difference Learning
arXiv
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arXiv 2024年
作者: Chen, Xingguo Gong, Yu Yang, Shangdong Wang, Wenhao Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing210023 China College of Electronic Engineering National University of Defense Technology China
Fast-converging algorithms are a contemporary requirement in reinforcement learning. In the context of linear function approximation, the magnitude of the smallest eigenvalue of the key matrix is a major factor reflec... 详细信息
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TSC-ECFA:A Trusted Service Composition Scheme for Edge Cloud
TSC-ECFA:A Trusted Service Composition Scheme for Edge Cloud
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International Conference on Parallel and Distributed Systems (ICPADS)
作者: Yu Jiang Xiaolong Xu Kunda Lin Weihua Duan Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China
In order to select a composition scheme that meets user's needs and high performance from large-scale web services in the edge cloud, this paper proposes a trusted service composition optimization scheme called TS... 详细信息
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RPSBPT: A Route Planning Scheme with Best Profit for Taxi
RPSBPT: A Route Planning Scheme with Best Profit for Taxi
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International Conference on Mobile Ad-hoc and Sensor Networks, MSN
作者: Yuhua Qiu Xiaolong Xu Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China
Reasonable route planning for taxi can not only improve quality of customer experience, but also maximize the benefit of taxi drivers. Most current taxi planning schemes are designed to achieve the shortest route or t... 详细信息
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Comparison and Analysis on Typical Network Representation Learning Algorithms
Comparison and Analysis on Typical Network Representation Le...
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IEEE International Conference on Progress in Informatics and Computing (PIC)
作者: Yang Wang Xiaolong Xu Yun Li Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China
Large-scale complex networks show complex nonlinear relationships among objects, such as the social relationships in the real world, the citation relationship among papers and the interactions among proteins in biolog... 详细信息
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