Search Results - "Zhou, Pengzhan"

An analytical solution of critical sliding displacement for the flexural buckling failure of layered rock slopes by Wang, Qiusheng, Zhang, Ruitao, Zheng, Hong, Zhou, Pengzhan

“…In mountain areas, flexural buckling failure of layered rock slopes due to self-weight is common, and it frequently results in serious disasters. Previous…”
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Study on Parameters of Two Widely Used Cohesive Soils Erosion Models by Wang, Qiusheng, Zhou, Pengzhan, Fan, Junjie, Qiu, Songnan

“…The erosion rate of cohesive soils was typically modeled with the excess shear stress model and the Wilson model. Several kinds of research have been conducted…”
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Three-point bending damage detection of GFRP composites doped with graphene oxide by acoustic emission technology by Shu, Wangyong, Liao, Lida, Zhou, Pengzhan, Huang, Bin, Chen, Weike

“…The incorporation of graphene oxide (GO) into composite materials can modulate their overall performance. To enhance the performance of acoustic emission (AE)…”
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Leveraging Target k-Coverage in Wireless Rechargeable Sensor Networks by Pengzhan Zhou, Cong Wang, Yuanyuan Yang

“…Energy remains a major hurdle in running computation-intensive tasks on wireless sensors. Recent efforts have been made to employ a Mobile Charger (MC) to…”
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Towards Efficient Scheduling of Federated Mobile Devices Under Computational and Statistical Heterogeneity by Wang, Cong, Yang, Yuanyuan, Zhou, Pengzhan

“…Originated from distributed learning, federated learning enables privacy-preserved collaboration on a new abstracted level by sharing the model parameters…”
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AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications by Qiao, Dewen, Qian, Liangxin, Guo, Songtao, Zhao, Jun, Zhou, Pengzhan

“…The emergence of 5G technology has enabled the development of Metaverse applications that provide users with immersive experiences through augmented reality…”
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Self-sustainable Sensor Networks with Multi-source Energy Harvesting and Wireless Charging by Zhou, Pengzhan, Wang, Cong, Yang, Yuanyuan

“…Energy supply remains to be a major bottleneck in Wireless Sensor Networks (WSNs). A self-sustainable network operates without battery replacement. Recent…”
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Adaptive Federated Deep Reinforcement Learning for Proactive Content Caching in Edge Computing by Qiao, Dewen, Guo, Songtao, Liu, Defang, Long, Saiqin, Zhou, Pengzhan, Li, Zhetao

“…With the aggravation of data explosion and backhaul loads on 5 G edge network, it is difficult for traditional centralized cloud to meet the low latency…”
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iCOS: A Deep Reinforcement Learning Scheme for Wireless-Charged MEC Networks by Wan, Changwei, Guo, Songtao, He, Jing, Liu, Guiyan, Zhou, Pengzhan

“…Computation offloading is an effective method in mobile edge computing (MEC) to relieve user equipment (UE) from the limited computation resource and battery…”
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k-Level Truthful Incentivizing Mechanism and Generalized k-MAB Problem by Zhou, Pengzhan, Wei, Xin, Wang, Cong, Yang, Yuanyuan

“…Multi-armed bandits problem has been widely utilized in economy-related areas. Incentives are explored in the sharing economy to inspire users for better…”
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Parameters optimization and precision enhancement of Takagi–Sugeno fuzzy neural network by Qiao, Dewen, Zhou, Pengzhan, Li, Mingyan, Guo, Songtao

“…Takagi–Sugeno fuzzy neural network (TSFNN) has been widely used in intelligent prediction. The prediction accuracy of TSFNN is impacted by its model parameter…”
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Deep Reinforcement Learning Empowers Wireless Powered Mobile Edge Computing: Towards Energy-Aware Online Offloading by Jiao, Xianlong, Wang, Yating, Guo, Songtao, Zhang, Hong, Dai, Haipeng, Li, Mingyan, Zhou, Pengzhan

“…Deep integration of wireless power transmission and mobile edge computing (MEC) promotes wireless powered MEC to become a new research hotspot in the field of…”
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Multi-UAV-Enabled Collaborative Edge Computing: Deployment, Offloading and Resource Optimization by Tan, Lin, Guo, Songtao, Zhou, Pengzhan, Kuang, Zhufang, Long, Saiqin, Li, Zhetao

“…Unmanned aerial vehicle (UAV) edge computing systems provide easy-to-deploy and low-cost services at those areas with inadequate infrastructure by deploying…”
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Modeling Dishonest Behavior in Mobile Data Gathering Over Leasing Residential Sensor Networks by Yiming Zeng, Pengzhan Zhou, Ji Liu, Yuanyuan Yang

“…This paper considers a mobile data collecting problem in a wireless sensor network with private residual sensor networks for the scenario in which the owners…”
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HAT: Task Offloading and Resource Allocation in RIS-Assisted Collaborative Edge Computing by Tan, Lin, Guo, Songtao, Zhou, Pengzhan, Kuang, Zhufang, Jiao, Xianlong

“…The problem of joint offloading decisions, resource allocation, and Reconfigurable Intelligent Surface (RIS) beamforming matrices for RIS-Assisted Edge…”
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Design and Optimization of Electric Autonomous Vehicles with Renewable Energy Source for Smart Cities by Zhou, Pengzhan, Wang, Cong, Yang, Yuanyuan

“…Electric autonomous vehicles provide a promising solution to the traffic congestion and air pollution problems in future smart cities. Considering intensive…”
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FedPAW: Federated Learning With Personalized Aggregation Weights for Urban Vehicle Speed Prediction by He, Yuepeng, Zhou, Pengzhan, Zhai, Yijun, Qu, Fang, Qin, Zhida, Li, Mingyan, Guo, Songtao

“…Vehicle speed prediction is crucial for intelligent transportation systems, promoting more reliable autonomous driving by accurately predicting future vehicle…”
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E-Sharing: Data-driven Online Optimization of Parking Location Placement for Dockless Electric Bike Sharing by Zhou, Pengzhan, Wang, Cong, Yang, Yuanyuan, Wei, Xin

“…The rise of dockless electric bike sharing becomes a new urban lifestyle recently. More than just the first-and-last mile, it offers a new modality of green…”
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Building High Performance Wireless Rechargeable Sensor Networks and Vehicular Networks by Algorithm Designs by Zhou, Pengzhan

“…With the recent development of network-related technologies, various types of networks have been studied and become an essential part of modern society, such…”
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Towards Relevance and Diversity in Crowdsourcing Worker Recruitment With Insufficient Information by Qin, Zhida, Yang, Siyun, Huang, Yuchen, Fu, Haoyan, Zhou, Pengzhan, Ding, Gangyi

“…Nowadays, crowdsourcing has become an increasingly popular paradigm in real-world applications. It provides a fundamental mechanism for inviting thoughts and…”
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