DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation | Paper Citation Record

Observation 86e0b6a5-0d05-474d-b8a4-c0e817a47fda · outbound

This paper cites Wheel load estimation and anti-roll bar control using suspension analysis with neural network,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Wheel load estimation and anti-roll bar control using suspension analysis with neural network,

Reference 1

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Observation 8cfc0acb-0b3a-40d7-b782-5edcf0aa16ad · outbound

This paper cites Analysis and design of suspension state observer for wheel load estimation,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Analysis and design of suspension state observer for wheel load estimation,

Reference 2

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This paper cites Kalman and extended kalman filters: Concept, derivation and properties,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Kalman and extended kalman filters: Concept, derivation and properties,

Reference 3

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Observation 20440774-6d59-45be-95b0-ceda7b0d8065 · outbound

This paper cites The ensemble kalman filter: a signal processing perspective,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation The ensemble kalman filter: a signal processing perspective,

Reference 4

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Observation e8f002d0-a831-4df2-9a00-45cc3add683f · outbound

This paper cites Ftekfnet: Hybridizing physical and data-driven estimation algorithms for vehicle state,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Ftekfnet: Hybridizing physical and data-driven estimation algorithms for vehicle state,

Reference 5

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Observation a94f9c66-c84a-4c75-9f5c-5f792705d69e · outbound

This paper cites Physics-informed neural network for model prediction and dynamics parameter identification of collaborative robot joints,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Physics-informed neural network for model prediction and dynamics parameter identification of collaborative robot joints,

Reference 6

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Observation dae69d95-5f41-4215-adc6-923aedfe8682 · outbound

This paper cites Vehicle state estimation combining physics-informed neural network and unscented kalman filtering on manifolds,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Vehicle state estimation combining physics-informed neural network and unscented kalman filtering on manifolds,

Reference 7

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Observation 2a65fc90-c7d5-413a-abf2-4af70924fac0 · outbound

This paper cites Hlcg: A hierarchical lane-changing gaming decision model for heterogeneous traffic flow on two-lane highways,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Hlcg: A hierarchical lane-changing gaming decision model for heterogeneous traffic flow on two-lane highways,

Reference 8

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Observation 260cc894-755e-4d3a-b847-05cc5d2a358d · outbound

This paper cites On the estimation rate of Bayesian PINN for inverse problems.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation On the estimation rate of Bayesian PINN for inverse problems

Reference 9

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Observation b4539acb-bd8b-46c1-ab9b-af1b4dba5ca6 · outbound

This paper cites Deep operator networks for bayesian parameter estimation in pdes,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Deep operator networks for bayesian parameter estimation in pdes,

Reference 10

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Observation 90a9e3fe-cb46-4b12-a1fc-89b754af1e9b · outbound

This paper cites Physics-guided deep learning for dynamical systems: A survey,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Physics-guided deep learning for dynamical systems: A survey,

Reference 11

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Observation f08f8cac-bb2b-4e88-a1f2-66c78daa984a · outbound

This paper cites Film: Visual reasoning with a general conditioning layer,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Film: Visual reasoning with a general conditioning layer,

Reference 12

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Observation ec54c58a-7348-4631-8efa-54a420ec3545 · outbound

This paper cites Physics-informed neural networks for pde problems: A comprehensive review,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Physics-informed neural networks for pde problems: A comprehensive review,

Reference 13

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Observation 5ff160e9-be77-4f6f-9c92-195fa0ba4482 · outbound

This paper cites Bayesian neural networks,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Bayesian neural networks,

Reference 14

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Observation c0f39a6e-7591-4136-9c0e-45450ddf7136 · outbound

This paper cites A bayesian approach for parameter estimation with uncertainty for dynamic power systems,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation A bayesian approach for parameter estimation with uncertainty for dynamic power systems,

Reference 15

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Observation 8c94300f-fcd0-4114-a540-9724683b6498 · outbound

This paper cites A theoretically grounded application of dropout in recurrent neural networks,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation A theoretically grounded application of dropout in recurrent neural networks,

Reference 16

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Observation 9e783d36-b4b0-4dbc-bcf5-2c83a53a2202 · outbound

This paper cites B-pinns: Bayesian physics- informed neural networks for forward and inverse pde problems with noisy data,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation B-pinns: Bayesian physics- informed neural networks for forward and inverse pde problems with noisy data,

Reference 17

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Observation 02d2bed5-1a88-4ecb-8ca1-09419c00e2a6 · outbound

This paper cites Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise

Reference 18

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Observation 3a6ac762-5f88-43e4-aec7-c63e27d26e6d · outbound

This paper cites A new approach to linear filtering and prediction problems,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation A new approach to linear filtering and prediction problems,

Reference 19

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Observation 57d75f87-62c0-470f-891e-dab6b89b3b1e · outbound

This paper cites The unscented kalman filter for nonlinear estimation,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation The unscented kalman filter for nonlinear estimation,

Reference 20

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Observation 5bebcb29-34da-40c0-9c57-0010e870cd00 · outbound

This paper cites Kfd-nerf: Rethinking dynamic nerf with kalman filter,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Kfd-nerf: Rethinking dynamic nerf with kalman filter,

Reference 21

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Observation 80f31505-2f40-4a63-ab52-4ee4559da188 · outbound

This paper cites An un- scented kalman filter-informed neural network for vehicle sideslip angle estimation,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation An un- scented kalman filter-informed neural network for vehicle sideslip angle estimation,

Reference 22

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Observation 8fa75557-2b06-4ea3-a80b-e7510253be03 · outbound

This paper cites Rkfnet: A novel neural network aided robust kalman filter,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Rkfnet: A novel neural network aided robust kalman filter,

Reference 23

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Observation 2eed0ddc-38fd-4e5a-88d3-aaca5146359f · outbound

This paper cites Estimation of dynamic tire force by measurement of vehicle body responses with numerical and experimental validation,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Estimation of dynamic tire force by measurement of vehicle body responses with numerical and experimental validation,

Reference 24

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Observation a7286c38-592f-45b6-b8a5-7550ae166732 · outbound

This paper cites Kalmannet: Neural network aided kalman filtering for partially known dynamics,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Kalmannet: Neural network aided kalman filtering for partially known dynamics,

Reference 25

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Observation f3cab164-82d0-4892-b96a-babe96a04566 · outbound

This paper cites Latent-kalmannet: Learned kalman filtering for tracking from high-dimensional signals,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Latent-kalmannet: Learned kalman filtering for tracking from high-dimensional signals,

Reference 26

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Observation 588b9294-4c19-4f15-8b61-eb9d39f0cae5 · outbound

This paper cites Gsp-kalmannet: Tracking graph signals via neural- aided kalman filtering,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Gsp-kalmannet: Tracking graph signals via neural- aided kalman filtering,

Reference 27

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Observation 6f3d7295-0b32-46cc-a7e9-efc168bf6daa · outbound

This paper cites Maml- kalmannet: A neural network-assisted kalman filter based on model- agnostic meta-learning,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Maml- kalmannet: A neural network-assisted kalman filter based on model- agnostic meta-learning,

Reference 28

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Observation 847b7b88-51ee-480d-a250-939a8f7eda5d · outbound

This paper cites Bayesian kalmannet: quantifying uncertainty in deep learning augmented kalman filter,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Bayesian kalmannet: quantifying uncertainty in deep learning augmented kalman filter,

Reference 29

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Observation cedcb44f-ec83-490d-ac37-36be40737883 · outbound

This paper cites Achieving high accuracy with pinns via energy natural gradient descent,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Achieving high accuracy with pinns via energy natural gradient descent,

Reference 30

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DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems,

Reference 31

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This paper cites npinns: Nonlocal physics-informed neural networks for a parametrized nonlocal universal laplacian operator. algorithms and applications,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation npinns: Nonlocal physics-informed neural networks for a parametrized nonlocal universal laplacian operator. algorithms and applications,

Reference 32

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Observation 3688c147-29f0-4ff5-b469-5971ce467008 · outbound

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DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo

Reference 33

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Observation 59a62e57-b45c-4912-81bf-137e4c2f1e75 · outbound

This paper cites Physics-informed deep learning for traffic state estimation: A hybrid paradigm informed by second-order traffic models,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Physics-informed deep learning for traffic state estimation: A hybrid paradigm informed by second-order traffic models,

Reference 34

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Observation 6e9fba45-bf46-4727-a53b-9110e879e503 · outbound

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DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation A physics- informed neural network for the prediction of unmanned surface vehicle dynamics,

Reference 35

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Observation 3414f74f-32d3-4626-abab-00545fd39275 · outbound

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DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Ev-pinn: A physics- informed neural network for predicting electric vehicle dynamics,

Reference 36

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Observation 495b6ea5-13a1-4adb-bd39-cf7de8a183d8 · outbound

This paper cites Adaptive construction of surrogates for the bayesian solution of inverse problems,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Adaptive construction of surrogates for the bayesian solution of inverse problems,

Reference 37

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Observation d7d1664e-df48-4d99-94d5-4cf945bba18b · outbound

This paper cites Quality of Uncertainty Quantification for Bayesian Neural Network Inference.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Quality of Uncertainty Quantification for Bayesian Neural Network Inference

Reference 38

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Observation 523a1c99-c069-4860-b2a1-10fd70b6fe98 · outbound

This paper cites Efficient bayesian physics informed neural networks for inverse problems via ensemble kalman inversion,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Efficient bayesian physics informed neural networks for inverse problems via ensemble kalman inversion,

Reference 39

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Observation 0841dfd3-42e8-49bc-a637-ce68614c643a · outbound

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DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Bayesian physics informed neural networks for real-world nonlinear dynamical systems,

Reference 40

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Observation e5c69de3-f356-47d2-a83c-fe3ed276d5e9 · outbound

This paper cites Bayesian physics-informed neural networks for system identification of inverter- dominated power systems,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Bayesian physics-informed neural networks for system identification of inverter- dominated power systems,

Reference 41

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Observation 5df9d5db-146b-4867-9634-008d77a45f92 · outbound

This paper cites Efficient bayesian inference using physics-informed invertible neural networks for inverse problems,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Efficient bayesian inference using physics-informed invertible neural networks for inverse problems,

Reference 42

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Observation 985f0991-4ad9-4bc2-a505-9d8023b13518 · outbound

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DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Surrogate modeling for bayesian inverse problems based on physics-informed neural networks,

Reference 43

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Observation ea2dbd3e-0d20-413b-845e-ac08d79ccfe2 · outbound

This paper cites Physics-informed bayesian neural networks for solving phonon boltzmann transport equation in forward and inverse problems with sparse and noisy data,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Physics-informed bayesian neural networks for solving phonon boltzmann transport equation in forward and inverse problems with sparse and noisy data,

Reference 44

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Observation 4a960978-f73e-472f-a603-ad5869d583f7 · outbound

This paper cites Literature review and funda- mental approaches for vehicle and tire state estimation,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Literature review and funda- mental approaches for vehicle and tire state estimation,

Reference 45

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Observation 707be66c-2a8c-4741-802f-86bf3bf21896 · outbound

This paper cites Tire normal force estimation using artificial neural networks and fuzzy classifiers: Experi- mental validation,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Tire normal force estimation using artificial neural networks and fuzzy classifiers: Experi- mental validation,

Reference 46

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Observation c364b5d7-f985-44b6-bb32-e0747580a1b3 · outbound

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DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Multi-class optimal margin distribution ma- chine,

Reference 47

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Observation b752b706-3744-47f4-bd89-02baa63ef7f2 · outbound

This paper cites Hy- brid state estimation combining artificial neural network and physical model,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Hy- brid state estimation combining artificial neural network and physical model,

Reference 48

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Observation a45604fe-6764-4f85-acbb-cd72feafdfba · outbound

This paper cites Challenges in training pinns: A loss landscape perspective,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Challenges in training pinns: A loss landscape perspective,

Reference 49

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Observation 983b3b6d-090e-4268-a6f2-e46555d71ba6 · outbound

This paper cites Physics-informed machine learning,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Physics-informed machine learning,

Reference 50

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Observation a8e47ea7-c7fe-4e55-b65b-fb107ded99a3 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 51

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Observation d219d0ed-e93e-48df-a858-a4b54bb56a35 · outbound

This paper cites A dynamic wheel load measurement system for the formula student race car,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation A dynamic wheel load measurement system for the formula student race car,

Reference 52

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Observation 9cea175b-b180-41c5-9339-8e0b377d8277 · outbound

This paper cites Pacejka,Tire and vehicle dynamics.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Pacejka,Tire and vehicle dynamics

Reference 53

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Observation f465879f-c0f9-4149-931a-0bfe3a1a496e · outbound

This paper cites Bayesian methods for neural networks: Theory and applications,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Bayesian methods for neural networks: Theory and applications,

Reference 54

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Observation 642825b1-20c7-48a3-87b7-85d0d42c3ccc · outbound

This paper cites Weight uncertainty in neural network,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Weight uncertainty in neural network,

Reference 55

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Observation ebf318b9-662b-4b77-b868-0ab354194bca · outbound

This paper cites Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems,

Reference 56

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This paper cites Vehicle trajectory prediction based on lstm recurrent neural networks,.

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation Vehicle trajectory prediction based on lstm recurrent neural networks,

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