Cover Image

Physics-Informed Operator Learning for Hemodynamic Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chappell, Ryan, Banerjee, Chayan, Nguyen, Kien, Fookes, Clinton
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
by: Banerjee, Chayan, et al.
Published: (2023)

Mining--Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling
by: Banerjee, Chayan, et al.
Published: (2025)

Physics-Informed Computer Vision: A Review and Perspectives
by: Banerjee, Chayan, et al.
Published: (2023)

Multi-task Learning for Radar Signal Characterisation
by: Huang, Zi, et al.
Published: (2023)

Few-Shot Radar Signal Recognition through Self-Supervised Learning and Radio Frequency Domain Adaptation
by: Huang, Zi, et al.
Published: (2025)

Neural Memory Networks for Seizure Type Classification
by: Ahmedt-Aristizabal, David, et al.
Published: (2019)

Physics-Informed Generative Modeling of Wireless Channels
by: Böck, Benedikt, et al.
Published: (2025)

PINNs for Medical Image Analysis: A Survey
by: Banerjee, Chayan, et al.
Published: (2024)

Signed Graph Learning: Algorithms and Theory
by: Karaaslanli, Abdullah, et al.
Published: (2025)

A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors
by: Nguyen, Minh Ngoc, et al.
Published: (2025)

Deep Learning Models for Physical Layer Communications
by: Letizia, Nunzio A.
Published: (2025)

Indoor Airflow Imaging Using Physics-Informed Background-Oriented Schlieren Tomography
by: Teh, Arjun, et al.
Published: (2025)

Multilinear Kernel Regression and Imputation via Manifold Learning
by: Nguyen, Duc Thien, et al.
Published: (2024)

Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis
by: Han, Pengyu, et al.
Published: (2025)

Physics-Informed Machine Learning for Efficient Reconfigurable Intelligent Surface Design
by: Zhang, Zhen, et al.
Published: (2025)

Neuro-Informed Adaptive Learning (NIAL) Algorithm: A Hybrid Deep Learning Approach for ECG Signal Classification
by: Rahman, Sowad
Published: (2025)

PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation
by: Wang, Xiaoda, et al.
Published: (2026)

What Physics do Data-Driven MoCap-to-Radar Models Learn?
by: Chen, Kevin, et al.
Published: (2026)

Learning Graph from Smooth Signals under Partial Observation: A Robustness Analysis
by: Nguyen, Hoang-Son, et al.
Published: (2025)

Point Neuron Learning: A New Physics-Informed Neural Network Architecture
by: Bi, Hanwen, et al.
Published: (2024)

SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning
by: Nguyen, Duc-Anh, et al.
Published: (2024)

Aortic Valve Disease Detection from PPG via Physiology-Informed Self-Supervised Learning
by: Wang, Jiaze, et al.
Published: (2026)

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch
by: Kechris, Christodoulos, et al.
Published: (2024)

Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation
by: Chen, Jiyi, et al.
Published: (2024)

Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach
by: Rahman, Ratun, et al.
Published: (2024)

PIDT: Physics-Informed Digital Twin for Optical Fiber Parameter Estimation
by: Jiang, Zicong, et al.
Published: (2026)

Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning
by: Nguyen, Duc Thien, et al.
Published: (2024)

Inverse Reconstruction of Shock Time Series from Shock Response Spectrum Curves using Machine Learning
by: Watts, Adam, et al.
Published: (2026)

Investigating Map-Based Path Loss Models: A Study of Feature Representations in Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2025)

Spectral Convergence of Complexon Shift Operators
by: Zhang, Purui, et al.
Published: (2023)

SPIRIT: Low Power Seizure Prediction using Unsupervised Online-Learning and Zoom Analog Frontends
by: Pandey, Aviral, et al.
Published: (2024)

Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks
by: Hoang, Thao, et al.
Published: (2024)

Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection
by: Kilinc, Ibrahim, et al.
Published: (2024)

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection
by: Huang, Zi, et al.
Published: (2025)

Spiking Personalized Federated Learning for Brain-Computer Interface-Enabled Immersive Communication
by: Shang, Chen, et al.
Published: (2026)

Efficient Localization of Directional Emitters via Joint Beampattern Estimation
by: Williams, Fraser, et al.
Published: (2024)

Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performance
by: Zheng, Ruxin, et al.
Published: (2024)

Informed Bootstrap Augmentation Improves EEG Decoding
by: Jeong, Woojae, et al.
Published: (2025)

Learning to Gridize: Segment Physical World by Wireless Communication Channel
by: Wang, Juntao, et al.
Published: (2025)

Privacy-Preserving Quantized Federated Learning with Diverse Precision
by: Nguyen, Dang Qua, et al.
Published: (2025)