These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 37374735)

  • 1. A Physics-Informed Automatic Neural Network Generation Framework for Emerging Device Modeling.
    Guo G; You H; Li C; Tang Z; Li O
    Micromachines (Basel); 2023 May; 14(6):. PubMed ID: 37374735
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Physics-informed neural networks to solve lumped kinetic model for chromatography process.
    Tang SY; Yuan YH; Chen YC; Yao SJ; Wang Y; Lin DQ
    J Chromatogr A; 2023 Oct; 1708():464346. PubMed ID: 37716084
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Modified failproof physics-informed neural network framework for fast and accurate optical fiber transmission link modeling.
    Uduagbomen J; Leeson MS; Liu Z; Lakshminarayana S; Xu T
    Appl Opt; 2024 May; 63(14):3794-3802. PubMed ID: 38856342
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Compact Memristor Model Based on Physics-Informed Neural Networks.
    Lee Y; Kim K; Lee J
    Micromachines (Basel); 2024 Feb; 15(2):. PubMed ID: 38398981
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Physics-informed neural networks based on adaptive weighted loss functions for Hamilton-Jacobi equations.
    Liu Y; Cai L; Chen Y; Wang B
    Math Biosci Eng; 2022 Sep; 19(12):12866-12896. PubMed ID: 36654026
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Physics Informed Neural Networks (PINN) for Low Snr Magnetic Resonance Electrical Properties Tomography (MREPT).
    Inda AJG; Huang SY; İmamoğlu N; Qin R; Yang T; Chen T; Yuan Z; Yu W
    Diagnostics (Basel); 2022 Oct; 12(11):. PubMed ID: 36359471
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Defect driven physics-informed neural network framework for fatigue life prediction of additively manufactured materials.
    Wang L; Zhu SP; Luo C; Niu X; He JC
    Philos Trans A Math Phys Eng Sci; 2023 Nov; 381(2260):20220386. PubMed ID: 37742712
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Physics-informed machine learning methods for biomass gasification modeling by considering monotonic relationships.
    Ren S; Wu S; Weng Q
    Bioresour Technol; 2023 Feb; 369():128472. PubMed ID: 36509306
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Strategies for multi-case physics-informed neural networks for tube flows: a study using 2D flow scenarios.
    Wong HS; Chan WX; Li BH; Yap CH
    Sci Rep; 2024 May; 14(1):11577. PubMed ID: 38773243
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool.
    Mukhmetov O; Zhao Y; Mashekova A; Zarikas V; Ng EYK; Aidossov N
    Comput Methods Programs Biomed; 2023 Dec; 242():107834. PubMed ID: 37852143
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting the Early-Age Time-Dependent Behaviors of a Prestressed Concrete Beam by Using Physics-Informed Neural Network.
    Park HW; Hwang JH
    Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514943
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data-driven solutions and parameter estimations of a family of higher-order KdV equations based on physics informed neural networks.
    Chen J; Shi J; He A; Fang H
    Sci Rep; 2024 Oct; 14(1):23874. PubMed ID: 39396058
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The improved backward compatible physics-informed neural networks for reducing error accumulation and applications in data-driven higher-order rogue waves.
    Lin S; Chen Y
    Chaos; 2024 Mar; 34(3):. PubMed ID: 38526983
    [TBL] [Abstract][Full Text] [Related]  

  • 14. On acoustic fields of complex scatters based on physics-informed neural networks.
    Wang H; Li J; Wang L; Liang L; Zeng Z; Liu Y
    Ultrasonics; 2023 Feb; 128():106872. PubMed ID: 36323059
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A High-Efficient Hybrid Physics-Informed Neural Networks Based on Convolutional Neural Network.
    Fang Z
    IEEE Trans Neural Netw Learn Syst; 2022 Oct; 33(10):5514-5526. PubMed ID: 33848251
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transients.
    Prantikos K; Chatzidakis S; Tsoukalas LH; Heifetz A
    Sci Rep; 2023 Oct; 13(1):16840. PubMed ID: 37803015
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MOSFET Physics-Based Compact Model Mass-Produced: An Artificial Neural Network Approach.
    Huang S; Wang L
    Micromachines (Basel); 2023 Feb; 14(2):. PubMed ID: 36838086
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Physics-informed neural networks for hydraulic transient analysis in pipeline systems.
    Ye J; Do NC; Zeng W; Lambert M
    Water Res; 2022 Aug; 221():118828. PubMed ID: 35841787
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Synergistic Integration of Physical Embedding and Machine Learning Enabling Precise and Reliable Force Field.
    Xu L; Jiang J
    J Chem Theory Comput; 2024 Sep; ():. PubMed ID: 39264358
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A physics-informed neural network to model COVID-19 infection and hospitalization scenarios.
    Berkhahn S; Ehrhardt M
    Adv Contin Discret Model; 2022; 2022(1):61. PubMed ID: 36320680
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.