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 *

136 related articles for article (PubMed ID: 29494543)

  • 1. Online Sensor Drift Compensation for E-Nose Systems Using Domain Adaptation and Extreme Learning Machine.
    Ma Z; Luo G; Qin K; Wang N; Niu W
    Sensors (Basel); 2018 Mar; 18(3):. PubMed ID: 29494543
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Wasserstein Distance Learns Domain Invariant Feature Representations for Drift Compensation of E-Nose.
    Tao Y; Li C; Liang Z; Yang H; Xu J
    Sensors (Basel); 2019 Aug; 19(17):. PubMed ID: 31454980
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Balanced Distribution Adaptation for Metal Oxide Semiconductor Gas Sensor Array Drift Compensation.
    Jiang Z; Xu P; Du Y; Yuan F; Song K
    Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34068297
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Gas-Sensor Drift Counteraction with Adaptive Active Learning for an Electronic Nose.
    Liu T; Li D; Chen J; Chen Y; Yang T; Cao J
    Sensors (Basel); 2018 Nov; 18(11):. PubMed ID: 30463202
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Domain Correction Based on Kernel Transformation for Drift Compensation in the E-Nose System.
    Tao Y; Xu J; Liang Z; Xiong L; Yang H
    Sensors (Basel); 2018 Sep; 18(10):. PubMed ID: 30249024
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sensor Drift Compensation Based on the Improved LSTM and SVM Multi-Class Ensemble Learning Models.
    Zhao X; Li P; Xiao K; Meng X; Han L; Yu C
    Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31492034
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Cross-Domain Active Learning for Electronic Nose Drift Compensation.
    Sun F; Sun R; Yan J
    Micromachines (Basel); 2022 Aug; 13(8):. PubMed ID: 36014182
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Active Learning on Dynamic Clustering for Drift Compensation in an Electronic Nose System.
    Liu T; Li D; Chen J; Chen Y; Yang T; Cao J
    Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31430909
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Recent Progress in Smart Electronic Nose Technologies Enabled with Machine Learning Methods.
    Ye Z; Liu Y; Li Q
    Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833693
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A smart high accuracy silicon piezoresistive pressure sensor temperature compensation system.
    Zhou G; Zhao Y; Guo F; Xu W
    Sensors (Basel); 2014 Jul; 14(7):12174-90. PubMed ID: 25006998
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A method of gas sensor drift compensation based on intrinsic characteristics of response curve.
    Sun Y; Zheng Y
    Sci Rep; 2023 Jul; 13(1):11971. PubMed ID: 37488182
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Chemical gas sensor array dataset.
    Fonollosa J; Rodríguez-Luján I; Huerta R
    Data Brief; 2015 Jun; 3():85-9. PubMed ID: 26217723
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A fast and precise indoor localization algorithm based on an online sequential extreme learning machine.
    Zou H; Lu X; Jiang H; Xie L
    Sensors (Basel); 2015 Jan; 15(1):1804-24. PubMed ID: 25599427
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Reacting to different types of concept drift: the Accuracy Updated Ensemble algorithm.
    Brzezinski D; Stefanowski J
    IEEE Trans Neural Netw Learn Syst; 2014 Jan; 25(1):81-94. PubMed ID: 24806646
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Adaptive Online Sequential ELM for Concept Drift Tackling.
    Budiman A; Fanany MI; Basaruddin C
    Comput Intell Neurosci; 2016; 2016():8091267. PubMed ID: 27594879
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.
    Jian Y; Huang D; Yan J; Lu K; Huang Y; Wen T; Zeng T; Zhong S; Xie Q
    Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28629202
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Well Logging Based Lithology Identification Model Establishment Under Data Drift: A Transfer Learning Method.
    Liu H; Wu Y; Cao Y; Lv W; Han H; Li Z; Chang J
    Sensors (Basel); 2020 Jun; 20(13):. PubMed ID: 32610586
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development and Evaluation of A Novel and Cost-Effective Approach for Low-Cost NO₂ Sensor Drift Correction.
    Sun L; Westerdahl D; Ning Z
    Sensors (Basel); 2017 Aug; 17(8):. PubMed ID: 28825633
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Novel Gravity Compensation Method for High Precision Free-INS Based on "Extreme Learning Machine".
    Zhou X; Yang G; Cai Q; Wang J
    Sensors (Basel); 2016 Nov; 16(12):. PubMed ID: 27916856
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 7.