BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

215 related articles for article (PubMed ID: 26771615)

  • 1. Identification of Shearer Cutting Patterns Using Vibration Signals Based on a Least Squares Support Vector Machine with an Improved Fruit Fly Optimization Algorithm.
    Si L; Wang Z; Liu X; Tan C; Liu Z; Xu J
    Sensors (Basel); 2016 Jan; 16(1):. PubMed ID: 26771615
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Cutting State Diagnosis for Shearer through the Vibration of Rocker Transmission Part with an Improved Probabilistic Neural Network.
    Si L; Wang Z; Liu X; Tan C; Zhang L
    Sensors (Basel); 2016 Apr; 16(4):. PubMed ID: 27058540
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A robust cutting pattern recognition method for shearer based on Least Square Support Vector Machine equipped with Chaos Modified Particle Swarm Optimization and Online Correcting Strategy.
    Liu X; He S; Gu Y; Xu Z; Zhang Z; Wang W; Liu P
    ISA Trans; 2020 Apr; 99():199-209. PubMed ID: 31515091
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Knowledge discovery employing grid scheme least squares support vector machines based on orthogonal design bee colony algorithm.
    Hsieh TJ; Yeh WC
    IEEE Trans Syst Man Cybern B Cybern; 2011 Oct; 41(5):1198-212. PubMed ID: 21421446
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory.
    Si L; Wang Z; Liu X; Tan C; Xu J; Zheng K
    Sensors (Basel); 2015 Nov; 15(11):28772-95. PubMed ID: 26580620
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Dynamic Health Assessment Approach for Shearer Based on Artificial Immune Algorithm.
    Wang Z; Xu X; Si L; Ji R; Liu X; Tan C
    Comput Intell Neurosci; 2016; 2016():9674942. PubMed ID: 27123002
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Cutting Pattern Recognition Method for Shearers Based on Improved Ensemble Empirical Mode Decomposition and a Probabilistic Neural Network.
    Xu J; Wang Z; Tan C; Si L; Liu X
    Sensors (Basel); 2015 Oct; 15(11):27721-37. PubMed ID: 26528985
    [TBL] [Abstract][Full Text] [Related]  

  • 8. SAW Torque Sensor Gyroscopic Effect Compensation by Least Squares Support Vector Machine Algorithm Based on Chaos Estimation of Distributed Algorithm.
    Han W; Bu X; Cao Y; Xu M
    Sensors (Basel); 2019 Jun; 19(12):. PubMed ID: 31226779
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hybrid support vector machine optimization model for inversion of tunnel transient electromagnetic method.
    Liang X; Qi TY; Jin ZY; Qian WP
    Math Biosci Eng; 2020 Jun; 17(4):3998-4017. PubMed ID: 32987564
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A water quality prediction model based on variational mode decomposition and the least squares support vector machine optimized by the sparrow search algorithm (VMD-SSA-LSSVM) of the Yangtze River, China.
    Song C; Yao L; Hua C; Ni Q
    Environ Monit Assess; 2021 May; 193(6):363. PubMed ID: 34041601
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of Blood Glucose Concentration Based on CEEMD and Improved Particle Swarm Optimization LSSVM.
    Ping G; Lei Y
    Crit Rev Biomed Eng; 2021; 49(2):9-19. PubMed ID: 34936313
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cutting Pattern Identification for Coal Mining Shearer through a Swarm Intelligence-Based Variable Translation Wavelet Neural Network.
    Xu J; Wang Z; Tan C; Si L; Liu X
    Sensors (Basel); 2018 Jan; 18(2):. PubMed ID: 29382120
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A soft sensing method of billet surface temperature based on ILGSSA-LSSVM.
    Liu J; Yang L; Nan X; Liu Y; Hou Q; Lan K; Yang F
    Sci Rep; 2022 Dec; 12(1):21876. PubMed ID: 36536046
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Survival Risk Prediction of Esophageal Squamous Cell Carcinoma Based on BES-LSSVM.
    Wang Y; Zhang W; Sun J; Wang L; Song X; Zhao X
    Comput Intell Neurosci; 2022; 2022():3895590. PubMed ID: 35845893
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An improved CS-LSSVM algorithm-based fault pattern recognition of ship power equipments.
    Yang Y; Tan M; Dai Y
    PLoS One; 2017; 12(2):e0171246. PubMed ID: 28182678
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of decomposition-ensemble learning paradigm with phase space reconstruction for day-ahead PM
    Niu M; Gan K; Sun S; Li F
    J Environ Manage; 2017 Jul; 196():110-118. PubMed ID: 28284128
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Compressor fault diagnosis system based on PCA-PSO-LSSVM algorithm.
    Zhang K; Su J; Sun S; Liu Z; Wang J; Du M; Liu Z; Zhang Q
    Sci Prog; 2021; 104(3):368504211026110. PubMed ID: 34255588
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Research on soft sensing method of photosynthetic bacteria fermentation process based on ant colony algorithm and least squares support vector machine.
    Feng X; Hong-Yu T; Bo W; Xiang-Lin Z
    Prep Biochem Biotechnol; 2023; 53(4):341-352. PubMed ID: 35816458
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Strategy for the Effective Optimization of Pharmaceutical Formulations Based on Parameter-Optimized Support Vector Machine Model.
    Wang S; Yang J; Chen H; Chu K; Yu X; Wei Y; Zhang H; Rui M; Feng C
    AAPS PharmSciTech; 2022 Jan; 23(1):66. PubMed ID: 35102463
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A time series model based on hybrid-kernel least-squares support vector machine for short-term wind power forecasting.
    Ding M; Zhou H; Xie H; Wu M; Liu KZ; Nakanishi Y; Yokoyama R
    ISA Trans; 2021 Feb; 108():58-68. PubMed ID: 32958296
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.