Delay-Fluctuation-Resistant Underwater Acoustic Network Access Method Based on Deep Reinforcement Learning. [PDF]
Shi J, Tian K, Zhang J.
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Scheduling allocation in 5G slicing networks utilizing weighted exponential and logarithmic functions to improve QoS. [PDF]
Nong X, Liang X.
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Decoding of polar-coded OFDM systems over multipath fading channels with interleaving and channel state information. [PDF]
Wu M, Yu Y, Wan F, Lin Y, Li Y, Zheng Z.
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Joint Optimization of Age of Information and Energy Consumption in NR-V2X System Based on Deep Reinforcement Learning. [PDF]
Song S, Zhang Z, Wu Q, Fan P, Fan Q.
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Secure energy outage analysis of UAV swarm-based network. [PDF]
Nguyen TH, Tran HV.
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Subchannel analysis by the FIDAS code Based on the three-fluid model
The Film Dryout Analysis Code in Subchannels, FIDAS, has been developed with the main objective of predicting dryout and post-dryout heat transfer in channels and in rod bundles. In FIDAS, two-phase flow consisting of continuous liquid film, continuous vapor and entrained droplets is modeled by a three-fluid, three-field representation of 12 field ...
openaire
A strategy of Implementation of the Improved Constitutive Equations for the Advanced Subchannel Code
identifier:oai:t2r2.star.titech.ac.jp ...
openaire
Enhancing single-cell encapsulation in droplet microfluidics with fine-tunable on-chip sample enrichment. [PDF]
Tang T, Zhao H, Shen S, Yang L, Lim CT.
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Research on reliability mapping of 5G low orbit constellation network slice based on deep reinforcement learning. [PDF]
Xiao Y +5 more
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