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Explanation：网络。 Publisher：Wiley。 SIT： http://dblp.uni-trier.de/db/journals/networks/
Handover and SINR-Aware Path Optimization in 5G-UAV mmWave Communication using DRL
Handover and SINR-Aware Path Optimization in 5G-UAV mmWave Communication using DRL
Arxiv
0+阅读 · 4月3日
Towards Green AI-Native Networks: Evaluation of Neural Circuit Policy for Estimating Energy Consumption of Base Stations
Towards Green AI-Native Networks: Evaluation of Neural Circuit Policy for Estimating Energy Consumption of Base Stations
Arxiv
0+阅读 · 4月3日
Temporal Triadic Closure: Finding Dense Structures in Social Networks That Evolve
Arxiv
0+阅读 · 4月3日
Atrial constitutive neural networks
Atrial constitutive neural networks
Arxiv
0+阅读 · 4月3日
Lifecycle Management of Trustworthy AI Models in 6G Networks: The REASON Approach
Arxiv
0+阅读 · 4月3日
Reservoir Computing: A New Paradigm for Neural Networks
Reservoir Computing: A New Paradigm for Neural Networks
Arxiv
0+阅读 · 4月3日
Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics
Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics
Arxiv
0+阅读 · 4月3日
Liquid Neural Networks: Next-Generation AI for Telecom from First Principles
Liquid Neural Networks: Next-Generation AI for Telecom from First Principles
Arxiv
0+阅读 · 4月3日
A time-stepping deep gradient flow method for option pricing in (rough) diffusion models
A time-stepping deep gradient flow method for option pricing in (rough) diffusion models
Arxiv
0+阅读 · 4月3日
Towards Learning-Augmented Peer-to-Peer Networks: Self-Stabilizing Graph Linearization with Untrusted Advice
Towards Learning-Augmented Peer-to-Peer Networks: Self-Stabilizing Graph Linearization with Untrusted Advice
Arxiv
0+阅读 · 4月3日
Efficient Computation of Hyper-triangles on Hypergraphs
Arxiv
0+阅读 · 4月3日
Hypergraph Representations of scRNA-seq Data for Improved Clustering with Random Walks
Hypergraph Representations of scRNA-seq Data for Improved Clustering with Random Walks
Arxiv
0+阅读 · 4月2日
Compositionality Unlocks Deep Interpretable Models
Compositionality Unlocks Deep Interpretable Models
Arxiv
0+阅读 · 4月3日
Asynchronous BFT Consensus Made Wireless
Arxiv
0+阅读 · 4月3日
Data Spatial Programming
Arxiv
0+阅读 · 4月3日
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