Empirical analysis of link prediction methods based on the topological structure of the COVID-19 network
SA Solangi, AW Mahesar, LD Dhomeja, BR Memon - 2024 - researchsquare.com
Link prediction has been remained an important field in many research areas in complex
networks. It helps to understand the significant variety of relationships between nodes based …
networks. It helps to understand the significant variety of relationships between nodes based …
一种用户均衡分配不确定性的计算方法.
程小洋， 刘玉， 郭建华 - Journal of Nanjing University of …, 2019 - search.ebscohost.com
一种用户均衡分配不确定性的计算方法 Page 1 DOI:10.13878/j.cnki.jnuist.2019.04.009 程小洋1
刘玉1 郭建华1 一种用户均衡分配不确定性的计算方法 摘要 为解决目前交通分配中存在的不确 …
刘玉1 郭建华1 一种用户均衡分配不确定性的计算方法 摘要 为解决目前交通分配中存在的不确 …
From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability
I Laña Aurrecoechea, JJ Sánchez Medina… - 2021 - lareferencia.info
Advances in Data Science permeate every field of Transportation Science and Engineering,
resulting in developments in the transportation sector that are data-driven. Nowadays …
resulting in developments in the transportation sector that are data-driven. Nowadays …
Method of quantifying uncertainty inuser equilibrium traffic assignment
X Cheng, Y Liu, J Guo - Nanjing Xinxi Gongcheng Daxue …, 2019 - search.proquest.com
To solve the uncertainty problems in traffic assignment, this paper established a method of
quantifying the uncertainty in traffic assignment model based on Wardrop user equilibrium …
quantifying the uncertainty in traffic assignment model based on Wardrop user equilibrium …