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Papers matching “transportation network optimization” 17

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Multi-scale membrane process optimization with high-fidelity ion transport models through machine learning
2020 preprint Environmental Science Membrane Separation Technologies Open access

Matthias Weßling

1

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
On the Integration of Battery Electric Buses into Urban Bus Networks
2021 arXiv (Cornell University) preprint Engineering Electric Vehicles and Infrastructure Open access

Nicolas Dirks, Maximilian Schiffer, Grit Walther

0

citations
Transport-Related Effects on Intrinsic and Synaptic Properties of Human Cortical Neurons: A Comparative Study
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neuroscience and Neuropharmacology Research Open access

Guanxiao Qi, Danqing Yang, Aniella Bak, Werner Hucko, Daniel Delev, Hussam Aldin Hamou, +2 more

0

citations
The Multi-Stop Station Location Problem: Exact Approaches
2026 SSRN Electronic Journal preprint Engineering Vehicle Routing Optimization Methods Open access

Erik Mühmer, Miriam Ganz, Marco E. Lübbecke, Felix J. L. Willamowski

0

citations
Symmetry breaking in minimum dissipation networks
2025 arXiv (Cornell University) preprint Physics and Astronomy Complex Network Analysis Techniques Open access

Aarathi Parameswaran

0

citations
Metaheuristic macro scale traffic flow optimisation from urban movement data
2020 arXiv (Cornell University) preprint Social Sciences Transportation Planning and Optimization Open access

Laurens Arp, Dyon van Vreumingen, Daniela Gawehns, Mitra Baratchi

0

citations
A Concise Guide on the Integration of Battery Electric Buses into Urban Bus Networks
2021 arXiv (Cornell University) preprint Social Sciences Transportation Planning and Optimization Open access

Nicolas Dirks, Dennis Wagner, Maximilian Schiffer, Grit Walther

5

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
AtlasOT - The Fused Unbalanced Gromov-Wasserstein for Multimodal Integration of Disease Atlases
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

Kai Peng, Mayra L. Ruiz Tejada Segura, Barthélémy Caron, Christoph Kuppe, James Shiniti Nagai, Ivan G. Costa

0

citations
Minimum-regret hydrogen supply chain strategies to foster the energy transition of European hard-to-abate industries
2024 arXiv (Cornell University) preprint Energy Hybrid Renewable Energy Systems Open access

Alissa Ganter, Paolo Roberto Gabrielli, Hanne Goericke, Giovanni Sansavini

3

citations
scACCorDiON: A clustering approach for explainable patient level cell cell communication graph analysis
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

James Shiniti Nagai, Michael T. Schaub, Ivan G. Costa

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 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
Planning minimum regret $CO_2$ pipeline networks
2025 RePEc: Research Papers in Economics preprint Engineering Integrated Energy Systems Optimization Open access

Stephan Bogs, Ali Abdelshafy, Grit Walther

0

citations

17 results