FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W270608669> ?p ?o ?g. }

• W270608669 abstract "Author(s): Hofleitner, Aude | Advisor(s): Bayen, Alexandre M | Abstract: Mathematical models are a mathematical abstraction of the physical reality which is of great importance to understand the behavior of a system, make estimations and predictions and so on. They range from models based on physical laws to models learned empirically, as measurements are collected, and referred to as data-driven models. A model is based on a series of choices which influence its complexity and realism. These choices represent trade-offs between different competing objectives including interpretability, scalability, accuracy, adequation to the available data, robustness or computational complexity. The thesis investigates the advantages and disadvantages of models based on physical laws versus data-driven models through the example of signalized queuing networks such as urban transportation networks.The dynamics of conservation flow networks are accurately represented by a first order partial differential equation. Using Hamilton-Jacobi theory, the thesis underlines the importance to leverage physical laws to reconstruct missing information (emph{e.g.} signal or bottleneck characteristics) and estimate the state of the network at any time and location. Noise and uncertainty in the measurements can be integrated in the model. When measurements are sparse, the state of the network cannot be estimated at every time and location on the network. Instead, the thesis shows how to leverage other characteristics, such as periodicity. From deterministic dynamics, the thesis derives the probability distribution functions of physical entities (emph{e.g.} waiting time, density) by marginalizing the periodic variable. Using a Dynamic Bayesian Network formulation and exploiting the convexity structure of the system, the thesis shows how this modeling leads to realistic estimations and predictions, even when little measurements are available. Finally, the thesis investigates how sparse modeling and dimensionality reduction can provide insights on the large scale behavior of the network. Large scale dynamics and patterns are hard to model accurately based on physical laws. They can be discovered through data mining algorithms and integrated into physical models." @default.
• W270608669 created "2016-06-24" @default.
• W270608669 creator A5014473141 @default.
• W270608669 date "2013-01-01" @default.
• W270608669 modified "2023-09-27" @default.
• W270608669 title "A hybrid approach of physical laws and data-driven modeling for estimation: the example of queuing networks" @default.
• W270608669 hasPublicationYear "2013" @default.
• W270608669 type Work @default.
• W270608669 sameAs 270608669 @default.
• W270608669 citedByCount "1" @default.
• W270608669 countsByYear W2706086692018 @default.
• W270608669 crossrefType "journal-article" @default.
• W270608669 hasAuthorship W270608669A5014473141 @default.
• W270608669 hasConcept C104317684 @default.
• W270608669 hasConcept C111472728 @default.
• W270608669 hasConcept C116672817 @default.
• W270608669 hasConcept C121332964 @default.
• W270608669 hasConcept C126255220 @default.
• W270608669 hasConcept C138885662 @default.
• W270608669 hasConcept C149635348 @default.
• W270608669 hasConcept C153083717 @default.
• W270608669 hasConcept C154945302 @default.
• W270608669 hasConcept C185592680 @default.
• W270608669 hasConcept C194583477 @default.
• W270608669 hasConcept C22684755 @default.
• W270608669 hasConcept C2780513914 @default.
• W270608669 hasConcept C2781067378 @default.
• W270608669 hasConcept C31258907 @default.
• W270608669 hasConcept C33923547 @default.
• W270608669 hasConcept C41008148 @default.
• W270608669 hasConcept C48044578 @default.
• W270608669 hasConcept C55493867 @default.
• W270608669 hasConcept C62520636 @default.
• W270608669 hasConcept C63479239 @default.
• W270608669 hasConcept C77088390 @default.
• W270608669 hasConcept C80444323 @default.
• W270608669 hasConceptScore W270608669C104317684 @default.
• W270608669 hasConceptScore W270608669C111472728 @default.
• W270608669 hasConceptScore W270608669C116672817 @default.
• W270608669 hasConceptScore W270608669C121332964 @default.
• W270608669 hasConceptScore W270608669C126255220 @default.
• W270608669 hasConceptScore W270608669C138885662 @default.
• W270608669 hasConceptScore W270608669C149635348 @default.
• W270608669 hasConceptScore W270608669C153083717 @default.
• W270608669 hasConceptScore W270608669C154945302 @default.
• W270608669 hasConceptScore W270608669C185592680 @default.
• W270608669 hasConceptScore W270608669C194583477 @default.
• W270608669 hasConceptScore W270608669C22684755 @default.
• W270608669 hasConceptScore W270608669C2780513914 @default.
• W270608669 hasConceptScore W270608669C2781067378 @default.
• W270608669 hasConceptScore W270608669C31258907 @default.
• W270608669 hasConceptScore W270608669C33923547 @default.
• W270608669 hasConceptScore W270608669C41008148 @default.
• W270608669 hasConceptScore W270608669C48044578 @default.
• W270608669 hasConceptScore W270608669C55493867 @default.
• W270608669 hasConceptScore W270608669C62520636 @default.
• W270608669 hasConceptScore W270608669C63479239 @default.
• W270608669 hasConceptScore W270608669C77088390 @default.
• W270608669 hasConceptScore W270608669C80444323 @default.
• W270608669 hasLocation W2706086691 @default.
• W270608669 hasOpenAccess W270608669 @default.
• W270608669 hasPrimaryLocation W2706086691 @default.
• W270608669 hasRelatedWork W1485687784 @default.
• W270608669 hasRelatedWork W1491945932 @default.
• W270608669 hasRelatedWork W1619647493 @default.
• W270608669 hasRelatedWork W1867505959 @default.
• W270608669 hasRelatedWork W1969030631 @default.
• W270608669 hasRelatedWork W2075885018 @default.
• W270608669 hasRelatedWork W2100976739 @default.
• W270608669 hasRelatedWork W2106357484 @default.
• W270608669 hasRelatedWork W2140783067 @default.
• W270608669 hasRelatedWork W2143771952 @default.
• W270608669 hasRelatedWork W2891026747 @default.
• W270608669 hasRelatedWork W2893234069 @default.
• W270608669 hasRelatedWork W2909506251 @default.
• W270608669 hasRelatedWork W2964158619 @default.
• W270608669 hasRelatedWork W2973202418 @default.
• W270608669 hasRelatedWork W3011164818 @default.
• W270608669 hasRelatedWork W3030979125 @default.
• W270608669 hasRelatedWork W3101743131 @default.
• W270608669 hasRelatedWork W3135454857 @default.
• W270608669 hasRelatedWork W73480596 @default.
• W270608669 isParatext "false" @default.
• W270608669 isRetracted "false" @default.
• W270608669 magId "270608669" @default.
• W270608669 workType "article" @default.