Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:26:49.597182Z
Paper Citation Record · LEDGER
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development
As of 16 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:1908.10312.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
65 of 65 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7c7865c4-c7e9-4b03-a3fa-b0e829af742f · outbound
This paper cites A high-resolution godunov-type scheme in finite volumes for the 2d shallow-water equations.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development A high-resolution godunov-type scheme in finite volumes for the 2d shallow-water equations
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation a2cfc14d-c34b-4cda-b570-1a73a58651d6 · outbound
This paper cites R., Natalizio, E., Calafate, C.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development R., Natalizio, E., Calafate, C
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation 000ac99b-b486-441a-ad00-1ccd361c5bf7 · outbound
This paper cites Solution of the 2d shallow water equations using the finite volume method on unstructured triangular meshes.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Solution of the 2d shallow water equations using the finite volume method on unstructured triangular meshes
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d2daa47a-5f5f-4636-b58a-8c18f8447652 · outbound
This paper cites t., 2004.
Reference 4
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Source-reported events for the cited work
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Observation 3ffb411b-53ea-4b99-a233-bc5720581109 · outbound
This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Reference 5
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Source-reported events for the cited work
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Observation 0747611e-8442-4783-8983-affd90da127b · outbound
This paper cites A., Ravela, S., Rus, D., 2008.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development A., Ravela, S., Rus, D., 2008
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c10a3646-2fc8-4678-9d86-59c20251fec2 · outbound
This paper cites A hybrid method for flood simulation in small catchments combining hydrodynamic and hydrological techniques.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development A hybrid method for flood simulation in small catchments combining hydrodynamic and hydrological techniques
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 83fccf35-2d28-46ff-b34d-2a0edd57ca8a · outbound
This paper cites Recursive bayesian estimation: Navigation and tracking applications.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Recursive bayesian estimation: Navigation and tracking applications
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fdd05a91-9190-4a88-9505-18c7a9a36077 · outbound
This paper cites Flood disasters: lessons from the past—worries for the future.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Flood disasters: lessons from the past—worries for the future
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation fbbe5f90-96a9-4bd0-b801-339c4da3c2d2 · outbound
This paper cites A well-balanced reconstruction of wet/dry fronts for the shallow water equations.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development A well-balanced reconstruction of wet/dry fronts for the shallow water equations
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a312669a-d463-4929-b4c9-a1cca11d3102 · outbound
This paper cites The validity of flow approximations when simulating catchment-integrated flash floods.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development The validity of flow approximations when simulating catchment-integrated flash floods
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0e3cd864-e613-455a-bf18-74eec9239a5c · outbound
This paper cites R., S tra, M.
Reference 12
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Observation 73b999ac-a509-4b6f-9761-9ecae452931c · outbound
This paper cites Data-driven synthesis of smoke flows with cnn-based feature descriptors.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Data-driven synthesis of smoke flows with cnn-based feature descriptors
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 4f8aa9ad-0eb4-440d-a3b9-98b49390cf97 · outbound
This paper cites Daily reservoir inflow forecasting using artificial neural networks with stopped training approach.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation 3f345a5a-ba7f-4011-ab1f-ce0d0cbfe85c · outbound
This paper cites \"U ber die partiellen differenzengleichungen der mathematischen physik.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development \"U ber die partiellen differenzengleichungen der mathematischen physik
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 4610ee5e-c524-4883-91f0-fc57207594f0 · outbound
This paper cites Flood prediction using time series data mining.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Flood prediction using time series data mining
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation fdd90c88-dc11-401e-acd1-4b8fbcd1315b · outbound
This paper cites Generating images with perceptual similarity metrics based on deep networks.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Generating images with perceptual similarity metrics based on deep networks
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6c2d8ad5-ec04-4cec-98d7-4273b0b4ae7a · outbound
This paper cites Robots for environmental monitoring: Significant advancements and applications.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Robots for environmental monitoring: Significant advancements and applications
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c07d117f-15e5-4c96-9933-5558acf7cb33 · outbound
This paper cites H., 2014.
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation aa130f65-b8ac-4929-bd74-2f83e2618aa0 · outbound
This paper cites Flooding, vulnerability and coping strategies: local responses to a global threat.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Flooding, vulnerability and coping strategies: local responses to a global threat
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cd4e48bb-566b-4975-a224-77f0e289ed54 · outbound
This paper cites P., 1986.
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5f6bf9f1-f615-495d-b599-cb5072f32839 · outbound
This paper cites Scaling and similarity in rough channel flows.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Scaling and similarity in rough channel flows
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cba83b5e-225e-4e54-b433-06757727e7e9 · outbound
This paper cites Generative adversarial nets.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Generative adversarial nets
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1cc05b8a-8213-4e65-945b-b8fefa94e59f · outbound
This paper cites Deep residual learning for image recognition.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Deep residual learning for image recognition
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3fb80aab-ffb4-4ea4-b5a4-44b1c966141f · outbound
This paper cites A., Konev, A., Bl \"o schl, G., 2015.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development A., Konev, A., Bl \"o schl, G., 2015
Reference 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a6cf1da1-159f-47ee-8b41-5d8dce22b0de · outbound
This paper cites B., Gibbs, M.
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9d31bcea-432b-40bc-87d8-5f5299cc70c7 · outbound
This paper cites E., 1960.
Reference 27
- Resolution
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Source-reported events for the cited work
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Observation 5586da38-f994-4a3d-8134-963932b007f1 · outbound
This paper cites The data-driven approach as an operational real-time flood forecasting model.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development The data-driven approach as an operational real-time flood forecasting model
Reference 28
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- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 07a3cdba-541a-4d0b-b395-6e20f2f28371 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Adam: A Method for Stochastic Optimization
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation 60cd9e89-7ab8-4a07-8608-2fa7043e7ec1 · outbound
This paper cites V., Shirshov, G., Melnikova, N., Belleman, R.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development V., Shirshov, G., Melnikova, N., Belleman, R
Reference 30
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Source-reported events for the cited work
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Observation e455ae23-d07d-4cdd-99f6-e8499ce469e1 · outbound
This paper cites Central-upwind schemes for the saint-venant system.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Central-upwind schemes for the saint-venant system
Reference 31
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Source-reported events for the cited work
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Observation cb79f252-37fa-4e88-b8c9-09a85cb0fcac · outbound
This paper cites Semidiscrete central-upwind schemes for hyperbolic conservation laws and hamilton--jacobi equations.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Semidiscrete central-upwind schemes for hyperbolic conservation laws and hamilton--jacobi equations
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 68effa41-01ef-43ba-a265-1ab1474368ec · outbound
This paper cites A second-order well-balanced positivity preserving central-upwind scheme for the saint-venant system.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development A second-order well-balanced positivity preserving central-upwind scheme for the saint-venant system
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 07df5725-011e-41aa-8be4-3b5d0c9994eb · outbound
This paper cites A comparison of nonlinear flood forecasting methods.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development A comparison of nonlinear flood forecasting methods
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 22d3c9ba-1810-4705-827b-398dfdbe4847 · outbound
This paper cites Deep learning.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Deep learning
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 91989d1d-d930-4d7c-aff1-adea5c7a1ade · outbound
This paper cites Gradient-based learning applied to document recognition.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Gradient-based learning applied to document recognition
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f639c138-e29b-4099-a0c4-be61b6ae7f34 · outbound
This paper cites Combining markov random fields and convolutional neural networks for image synthesis.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Combining markov random fields and convolutional neural networks for image synthesis
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 96d179a0-5e4f-4367-a80b-91f303db88aa · outbound
This paper cites Numerical resolution of well-balanced shallow water equations with complex source terms.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Numerical resolution of well-balanced shallow water equations with complex source terms
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bd911b72-b312-4acf-8e30-ad27c687baa2 · outbound
This paper cites Some methods for classification and analysis of multivariate observations.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Some methods for classification and analysis of multivariate observations
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c91215d4-2364-4039-b573-40e002bd4eb3 · outbound
This paper cites Conditional Generative Adversarial Nets.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Conditional Generative Adversarial Nets
Reference 40
- Resolution
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Source-reported events for the cited work
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Observation 438576d8-23c7-430c-95d7-d0ebab738de9 · outbound
This paper cites Uavs for smart cities: Opportunities and challenges.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Uavs for smart cities: Opportunities and challenges
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 583d4e7a-4839-4b72-9bbb-7bcb782c25bd · outbound
This paper cites E., Gruntfest, E., 2002.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development E., Gruntfest, E., 2002
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:50.147127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a5b870f5-7f74-4413-a9a7-9a87575f6885 · outbound
This paper cites RFFS and HYRAD: Integrated systems for rainfall and river flow forecasting in real-time and their application in Yorkshire.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development RFFS and HYRAD: Integrated systems for rainfall and river flow forecasting in real-time and their application in Yorkshire
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:50.128471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ad508fd9-ec26-4e8e-8346-b64b2cd9e4a2 · outbound
This paper cites Flood prediction using machine learning models: Literature review.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Flood prediction using machine learning models: Literature review
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:50.109322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 53408f9d-ff41-442a-8341-0cde2b74fdcf · outbound
This paper cites Deep hidden physics models: Deep learning of nonlinear partial differential equations.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Deep hidden physics models: Deep learning of nonlinear partial differential equations
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:50.090453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation efda763e-f660-4f25-8e20-ede35b963568 · outbound
This paper cites Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccc905ea-1795-4035-b89f-ad40cbeba2d4 · outbound
This paper cites Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
Reference 47
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4df8baaa-206b-4588-8dd8-605ff682d098 · outbound
This paper cites Anuga user manual, release 2.0.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Anuga user manual, release 2.0
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:50.072121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 79efe5f1-1389-4d3c-97ba-c1e9362b2313 · outbound
This paper cites E., Hinton, G.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development E., Hinton, G
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:50.054201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 70768295-dca3-4e0d-a543-fd70c02545e2 · outbound
This paper cites T., Yurekli, K., Pal, M., 2012.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development T., Yurekli, K., Pal, M., 2012
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:50.037198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e501d4b4-4c1e-4206-af0c-c4d2561c71f3 · outbound
This paper cites R., 1996.
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:50.019955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 96366db1-cf43-48da-94c9-ec48c0e32b7c · outbound
This paper cites Dgm: A deep learning algorithm for solving partial differential equations.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Dgm: A deep learning algorithm for solving partial differential equations
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:50.000797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 850477b0-9023-46de-b05e-a5569c394c8c · outbound
This paper cites Decentralized Flood Forecasting Using Deep Neural Networks.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Decentralized Flood Forecasting Using Deep Neural Networks
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T11:26:49.692646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3d81f38b-ed10-4969-ad01-625afedce7da · outbound
This paper cites Shallow water hydrodynamics: Mathematical theory and numerical solution for a two-dimensional system of shallow-water equations.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Shallow water hydrodynamics: Mathematical theory and numerical solution for a two-dimensional system of shallow-water equations
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:49.981247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f52dfaf9-98cd-44c8-88a0-1b01df580e84 · outbound
This paper cites Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:26:49.536798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41531a41-78ef-4c0a-811c-f71af91d2ede · outbound
This paper cites Accelerating eulerian fluid simulation with convolutional networks.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Accelerating eulerian fluid simulation with convolutional networks
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:49.961209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 49e505ad-1fb3-4c0f-a459-9a59481a11aa · outbound
This paper cites Accelerating eulerian fluid simulation with convolutional networks.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Accelerating eulerian fluid simulation with convolutional networks
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:49.940828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 15fdf5a8-693f-4a7d-a405-895659bb4dc3 · outbound
This paper cites E., Behbahani, S.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development E., Behbahani, S
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:49.922592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4926040f-e301-4c6d-8075-ccc8f1901f7e · outbound
This paper cites E., Behbahani, S.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development E., Behbahani, S
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:49.904008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 243bbcd0-96db-41d5-b0a5-1418ec093b9e · outbound
This paper cites B., 2013.
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:49.884684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e60af9f7-0d7b-45f2-a729-29164ea18ad7 · outbound
This paper cites Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:26:49.572659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a2e1484-b7ba-443a-bfad-4207d09bdb41 · outbound
This paper cites tempogan: A temporally coherent, volumetric gan for super-resolution fluid flow.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development tempogan: A temporally coherent, volumetric gan for super-resolution fluid flow
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:49.864100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6ae21d43-967e-4104-b03a-4f56a417fdb6 · outbound
This paper cites Y., O'connor, K.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Y., O'connor, K
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:49.844402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd8e93c9-7383-48e6-9016-e8481a80c99e · outbound
This paper cites Markov flow models and the flood warning problem.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Markov flow models and the flood warning problem
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:49.825566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8e077f19-1d18-4461-bbde-4d7399233ef5 · outbound
This paper cites Catastrophic collapse of water supply reservoirs in urban areas.
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Catastrophic collapse of water supply reservoirs in urban areas
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:26:49.805963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.