A Deep Multimodal Network for Classification and Identification of Interventionists' Hand Motions during Cyborg Intravascular Catheterization

A dynamic network loading (DNL) model using a mesoscopic approach is proposed to simulate a multimodal transport network considering en-route change of the transport modes. The classic mesoscopic approach, where packets of users belonging to the same mode move following a path, is modified to take into account multiple modes interacting with each other, simultaneously and on the same multimodal network. In particular, to simulate modal change, functional aspects of multimodal arcs have been developed; those arcs are properly located on the network where modal change occurs and users are packed (or unpacked) in a new modal resource that moves up to destination or to another multimodal arc. A test on a simple network reproducing a real situation is performed in order to show model peculiarities; some indicators, used to describe performances of the considered transport system, are shown.

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Managing the flow of containers in a multimodal network

2018 4th International Conference on Logistics Operations Management (GOL) ◽

10.1109/gol.2018.8378105 ◽

2018 ◽

Author(s):

Mohamed Hemmidy ◽

Cedric Joncour ◽

Sophie Michel ◽

Adnan Yassine

Keyword(s):

Multimodal Network

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SAMA: Spatially-Aware Multimodal Network with Attention For Early Lung Cancer Diagnosis

10.1007/978-3-030-89847-2_5 ◽

2021 ◽

pp. 48-58

Author(s):

Mafe Roa ◽

Laura Daza ◽

Maria Escobar ◽

Angela Castillo ◽

Pablo Arbelaez

Keyword(s):

Lung Cancer ◽

Cancer Diagnosis ◽

Lung Cancer Diagnosis ◽

Early Lung Cancer ◽

Multimodal Network

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Investment Selection Model for Multicommodity Multimodal Transportation Networks

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198196152200105 ◽

1996 ◽

Vol 1522 (1) ◽

pp. 38-46 ◽

Cited By ~ 4

Author(s):

Carlos Felipe G. Loureiro ◽

Bruce Ralston

Keyword(s):

Network Design ◽

Real Life ◽

User Equilibrium ◽

Network Design Problem ◽

Type Model ◽

Stochastic User Equilibrium ◽

Transportation Services ◽

Life Problems ◽

Multimodal Network ◽

Main Component

A Multicommodity Multimodal Network Design (MCMND) model is presented; the model is to be used as a planning tool for determining investment priorities for freight intercity networks. The MCMND model is designed to select the best set of investment options for a multimodal regional network, given a limited investment budget. The main component of the model comprises the solution of a nonlinear bilevel network design problem formulated to choose investments that minimize both the transportation costs incurred by users and the environmental impacts of less efficient modes of transportation. Investment options to be considered by the model involve the addition of new physical links to the network, the improvement of existing links, and the location of intermodal transfer facilities at specified nodes of the network. The representation of the multimodal network is at a level of detail appropriate for strategic planning for a large region. The demand for transportation services is fixed and exogenous to the model. Mode choice in shipping freight is modeled in combination with flow assignment, assuming that goods are shipped at minimum total generalized costs. A new path-based stochastic user equilibrium assignment algorithm is proposed to distribute trips over the multimodal network according to a logit-type model. The Tietê-Paraná Valley in Brazil was selected for the development of a pilot application of the MCMND model to assess its efficiency when dealing with large networks. This application also served to emphasize the importance of an interface between the MCMND model and a geographic information system in solving real-life problems.

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