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A Survey of Traffic Prediction Based on Deep Neural Network: Data, Methods and Challenges.

, , , , и . CloudComp, том 430 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 17-29. Springer, (2021)

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Liu Liu

Liu Liu

Liu Liu

Yan Liu

Yifei Liu

 

Другие публикации лиц с тем же именем

Towards Accurate Latency Prediction of DNN Layers Inference on Diverse Computing Platforms., , , , , и . DASC/PiCom/CBDCom/CyberSciTech, стр. 1-7. IEEE, (2022)A Survey of Traffic Prediction Based on Deep Neural Network: Data, Methods and Challenges., , , , и . CloudComp, том 430 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 17-29. Springer, (2021)Microservices: architecture, container, and challenges., , , , , и . QRS Companion, стр. 629-635. IEEE, (2020)Edge Computing: A Systematic Mapping Study., , , , и . DASC/PiCom/CBDCom/CyberSciTech, стр. 507-514. IEEE, (2021)EEAI: An End-edge Architecture for Accelerating Deep Neural Network Inference., , , , , и . HPCC/DSS/SmartCity/DependSys, стр. 1761-1768. IEEE, (2021)A Distributed Privacy-Preserving Framework for Deep Learning with Edge-Cloud Computing., , , , , , и . iThings/GreenCom/CPSCom/SmartData/Cybermatics, стр. 250-257. IEEE, (2022)An Approach for Traffic Flow Prediction Combining 3D Convolution and Attention Mechanism., , , , , и . SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, стр. 2019-2025. IEEE, (2022)An adaptive DNN inference acceleration framework with end-edge-cloud collaborative computing., , , , , , и . Future Gener. Comput. Syst., (2023)