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 *

141 related articles for article (PubMed ID: 35428477)

  • 1. Optimally detecting and classifying the transmission line fault in power system using hybrid technique.
    Rajesh P; Kannan R; Vishnupriyan J; Rajani B
    ISA Trans; 2022 Nov; 130():253-264. PubMed ID: 35428477
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fault detection and classification in electrical power transmission system using artificial neural network.
    Jamil M; Sharma SK; Singh R
    Springerplus; 2015; 4():334. PubMed ID: 26180754
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The use of artificial neural network for low latency of fault detection and localisation in transmission line.
    Ogar VN; Hussain S; Gamage KAA
    Heliyon; 2023 Feb; 9(2):e13376. PubMed ID: 36816249
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ensemble learning based transmission line fault classification using phasor measurement unit (PMU) data with explainable AI (XAI).
    Bin Akter S; Sarkar Pias T; Rahman Deeba S; Hossain J; Abdur Rahman H
    PLoS One; 2024; 19(2):e0295144. PubMed ID: 38346050
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A soft computing scheme incorporating ANN and MOV energy in fault detection, classification and distance estimation of EHV transmission line with FSC.
    Khadke P; Patne N; Singh A; Shinde G
    Springerplus; 2016; 5(1):1834. PubMed ID: 27818872
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fuzzy Inference System Approach for Locating Series, Shunt, and Simultaneous Series-Shunt Faults in Double Circuit Transmission Lines.
    Swetapadma A; Yadav A
    Comput Intell Neurosci; 2015; 2015():620360. PubMed ID: 26413088
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optimal detection and classification of grid connected system using MSVM-FSO technique.
    Stallon SRD; Anand R; Kannan R; Rajasekaran S
    Environ Sci Pollut Res Int; 2024 May; 31(21):31064-31080. PubMed ID: 38625469
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bus network decomposition for fault detection and isolation through power line communication.
    Abdel Karim AK; Atoui MA; Degardin V; Laly P; Cocquempot V
    ISA Trans; 2023 Jun; 137():492-505. PubMed ID: 36682899
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Simulation research on magneto-acoustic concentration tomography of magnetic nanoparticles based on truncated singular value decomposition (TSVD).
    Yan X; Hu Y; Guang S; Chen W
    Med Biol Eng Comput; 2021 Nov; 59(11-12):2383-2396. PubMed ID: 34628572
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An improved fault detection classification and location scheme based on wavelet transform and artificial neural network for six phase transmission line using single end data only.
    Koley E; Verma K; Ghosh S
    Springerplus; 2015; 4():551. PubMed ID: 26435897
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improved Fault Classification in Series Compensated Transmission Line: Comparative Evaluation of Chebyshev Neural Network Training Algorithms.
    Vyas BY; Das B; Maheshwari RP
    IEEE Trans Neural Netw Learn Syst; 2016 Aug; 27(8):1631-42. PubMed ID: 25314714
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Intelligent Fault Detection and Classification Based on Hybrid Deep Learning Methods for Hardware-in-the-Loop Test of Automotive Software Systems.
    Abboush M; Bamal D; Knieke C; Rausch A
    Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684686
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feature Selection and Parameters Optimization of SVM Using Particle Swarm Optimization for Fault Classification in Power Distribution Systems.
    Cho MY; Hoang TT
    Comput Intell Neurosci; 2017; 2017():4135465. PubMed ID: 28781591
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Inversion of photon correlation spectroscopy based on truncated singular value decomposition and cascadic multigrid technology.
    Wang Y; Shen J; Wei L; Dou Z; Gao S
    Appl Opt; 2013 Apr; 52(12):2792-9. PubMed ID: 23669690
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiwavelet packet entropy and its application in transmission line fault recognition and classification.
    Liu Z; Han Z; Zhang Y; Zhang Q
    IEEE Trans Neural Netw Learn Syst; 2014 Nov; 25(11):2043-52. PubMed ID: 25330427
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development of overcurrent relay based on wavelet transform for fault detection in transmission line.
    Ananwattanaporn S; Lertwanitrot P; Ngaopitakkul A; Pothisarn C
    Sci Rep; 2024 Jun; 14(1):14933. PubMed ID: 38942810
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Monitoring System for Online Fault Detection and Classification in Photovoltaic Plants.
    Lazzaretti AE; Costa CHD; Rodrigues MP; Yamada GD; Lexinoski G; Moritz GL; Oroski E; Goes RE; Linhares RR; Stadzisz PC; Omori JS; Santos RBD
    Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32825224
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fiber Bragg Grating sensor for fault detection in radial and network transmission lines.
    Moghadas AA; Shadaram M
    Sensors (Basel); 2010; 10(10):9407-23. PubMed ID: 22163416
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deconvolution analysis of dynamic contrast-enhanced data based on singular value decomposition optimized by generalized cross validation.
    Murase K; Yamazaki Y; Miyazaki S
    Magn Reson Med Sci; 2004; 3(4):165-75. PubMed ID: 16093635
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform.
    Liu J; Li C; Liu Y; Sun J; Lin H
    Sensors (Basel); 2023 Nov; 23(21):. PubMed ID: 37960647
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.