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30 result(s) for “if com dealing site sin mobility com site www log com site:arxiv.org” of 49 matched · 735 ms

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com/qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learning: • This paper introduces a method to construct vehicle scenes as vehicle-road graph for the first time
from the top result below

Optimizing Age of Information in Vehicular Edge Computing with Federated

https://arxiv.org/html/2407.02342v1
com/qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learnin

Condensed Matter

https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries

[2502.13868] Locally Robust Policy Learning: Inequality, Inequality of

https://arxiv.org/abs/2502.13868
13868] Locally Robust Policy Learning: Inequality, Inequality of Opportunity and Intergenerational Mobility Skip to main content arXiv is now an independent nonprofit

Networking and Internet Architecture May 2020

https://arxiv.org/list/cs.NI/2020-05
192 Showing up to 50 entries per page: fewer | more | all [1] arXiv:2005

Electrical Engineering and Systems Science

https://arxiv.org/list/eess/new
Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Electrical Engineering and Systems Science New submissions Cross-lists

Navigation services amplify concentration of traffic and emissions in

https://arxiv.org/html/2407.20004v1
1 Supplementary Note 1: Mobility Demand and GPS data Pre-processing steps

MODELING URBAN TRANSPORT CHOICES: INCORPORATING SOCIOCULTURAL ASPECTS

https://arxiv.org/html/2407.21307v1
co ABSTRACT This paper introduces an agent-based simulation model aimed at understanding urban commuters’ mode choices and evaluating the impacts of transport policies to promote sustainable mobility

Mapping the City Through the Lens of Language Models

https://arxiv.org/html/2608.02971v1
Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to

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https://arxiv.org/pdf/2006.02318
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https://arxiv.org/pdf/2508.11152
com three Proceedings of ACM Conference (Conference'17) book 1 1 9 9 Tianjiao ZhaoJingrao LyuStokes JonesHarrison GarberStefano PasqualiDhagash Mehtahttp://arxiv

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https://arxiv.org/pdf/2608.01934
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https://arxiv.org/pdf/2006.00342
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https://arxiv.org/src/2303.12712
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Numerical Analysis

https://arxiv.org/list/cs.NA/new
all New submissions (showing 18 of 18 entries) [1] arXiv:2608

Computer Vision and Pattern Recognition

https://arxiv.org/list/cs.CV/new
Project Page: this https URL [2] arXiv:2608

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https://arxiv.org/src/1910.03771
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https://arxiv.org/pdf/2609.18842
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https://arxiv.org/pdf/2608.02872
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https://arxiv.org/src/2405.20232
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https://arxiv.org/pdf/2608.02694
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https://arxiv.org/pdf/2006.00064
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https://arxiv.org/pdf/2608.03494
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https://arxiv.org/src/2006.00064
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https://arxiv.org/pdf/2309.08431
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https://arxiv.org/src/2104.08691
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https://arxiv.org/src/2006.02924
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https://arxiv.org/pdf/2506.01844
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient RoboticsMustafa ShukorDana AubakirovaFrancesco CapuanoPepijn KooijmansSteven PalmaAdil ZouitineMichel AractingiCaroline PascalMartino RussiAndres MarafiotiSimon

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https://arxiv.org/pdf/2607.26327v3
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https://arxiv.org/src/2608.04007
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https://arxiv.org/pdf/2205.11916v2
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