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Papers matching “transportation network optimization” 12

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An AI-Driven Multi-Source Data Fusion Framework for Intelligent Network Optimization in 5G-A Systems
2026 International Journal of Artificial Intelligence Research article Computer Science Software-Defined Networks and 5G Open access

Elena Conti

0

citations
DMH-HARQ: Reliable and Open Latency-Constrained Wireless Transport Network
2026 IEEE Transactions on Networking article Computer Science Cooperative Communication and Network Coding Open access

Bin Han, Muxia Sun, Y. Zhu, Vincenzo Sciancalepore, Mohammad Asif Habibi, Yulin Hu, +2 more

0

citations
Mean-Field Model for Two-Layer Neural Networks Trained with Consensus-Based Optimization
2025 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

William De Deyn, Michaël Herty, Giovanni Samaey

0

citations
Fare Zone Assignment on Trees
2025 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Martin Hoefer, Lennart Kauther, Philipp Pabst, Britta Peis, Khai Van Tran

0

citations
IQLS: Framework for leveraging Metadata to enable Large Language Model based queries to complex, versatile Data
2024 arXiv (Cornell University) preprint Computer Science Semantic Web and Ontologies Open access

Sami Azirar, Hossam A. Gabbar, Chaouki Regoui

0

citations
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings
2024 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Graph Neural Networks

Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub

2

citations
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn M. Kampa, Michael T. Schaub

1

citations
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı, Atilla Eryılmaz

0

citations
A Mean-Field Theory of Transformers: Well-Posedness of the Coupled Data--Parameter Dynamics and Global Convergence of Training
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Michael Herty, Hailiang Liu

0

citations
xPrio: Crosslayer Web Resource Prioritization at Runtime
2026 Proceedings of the ACM on Networking article Computer Science Network Traffic and Congestion Control

Constantin Sander, Ike Kunze, Hendrik Buschbaum, Klaus Wehrle

0

citations
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
2025 SIAM Journal on Mathematics of Data Science article Computer Science Neural Networks and Applications Open access

Semih Çaycı, Atilla Eryılmaz

2

citations
Proteochemometric Modeling Identifies Chemically Diverse Norepinephrine Transporter Inhibitors
2023 Journal of Chemical Information and Modeling article Computer Science Computational Drug Discovery Methods Open access

Brandon J. Bongers, Hubert J. Sijben, Peter B. R. Hartog, Andrey Tarnovskiy, Adriaan P. IJzerman, Laura H. Heitman, +1 more

8

citations

12 results