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pro vyhledávání: '"Ghafelebashi, Ali"'
Traffic congestion has become an inevitable challenge in large cities due to population increases and expansion of urban areas. Various approaches are introduced to mitigate traffic issues, encompassing from expanding the road infrastructure to emplo
Externí odkaz:
http://arxiv.org/abs/2312.02341
With rapid population growth and urban development, traffic congestion has become an inescapable issue, especially in large cities. Many congestion reduction strategies have been proposed in the past, ranging from roadway extension to transportation
Externí odkaz:
http://arxiv.org/abs/2204.07306
We study federated learning (FL) -- especially cross-silo FL -- with non-convex loss functions and data from people who do not trust the server or other silos. In this setting, each silo (e.g. hospital) must protect the privacy of each person's data
Externí odkaz:
http://arxiv.org/abs/2203.06735
Mixed linear regression (MLR) model is among the most exemplary statistical tools for modeling non-linear distributions using a mixture of linear models. When the additive noise in MLR model is Gaussian, Expectation-Maximization (EM) algorithm is a w
Externí odkaz:
http://arxiv.org/abs/2105.05953
Publikováno v:
In Transportation Research Part C July 2023 152
With rapid population growth and urban development, traffic congestion has become an inescapable issue. Future mobility services may offer a new andvery effective opportunity to incentivize congestion-reducing behavior. Ridesourcing, food delivery, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::74ad659f84e0aafecb1f3611ef109457
https://escholarship.org/uc/item/80d9v8cc
https://escholarship.org/uc/item/80d9v8cc