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.
132 related articles for article (PubMed ID: 38829898)
1. Mine water inrush source discrimination model based on KPCA-ISSA-KELM. Wang W; Cui X; Qi Y; Xue K; Liang R; Sun Z; Tao H PLoS One; 2024; 19(6):e0299476. PubMed ID: 38829898 [TBL] [Abstract][Full Text] [Related]
2. Rapid identification model of mine water inrush source using random forest optimized by multi-strategy improved sparrow search algorithm. Ling J; Fu Z; Xue K Heliyon; 2024 Aug; 10(15):e35708. PubMed ID: 39170359 [TBL] [Abstract][Full Text] [Related]
3. Risk Prediction of Coal and Gas Outburst in Deep Coal Mines Based on the SAPSO-ELM Algorithm. Yang L; Fang X; Wang X; Li S; Zhu J Int J Environ Res Public Health; 2022 Sep; 19(19):. PubMed ID: 36231681 [TBL] [Abstract][Full Text] [Related]
4. A novel prediction model based on decomposition-integration and error correction for COVID-19 daily confirmed and death cases. Yang H; Liu H; Li G Comput Biol Med; 2023 Apr; 156():106674. PubMed ID: 36871336 [TBL] [Abstract][Full Text] [Related]
5. Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm. Xia J; Yang D; Zhou H; Chen Y; Zhang H; Liu T; Heidari AA; Chen H; Pan Z Comput Biol Med; 2022 Feb; 141():105137. PubMed ID: 34953358 [TBL] [Abstract][Full Text] [Related]
6. Identification of mine water sources using a multi-dimensional ion-causative nonlinear algorithmic model. Zheng Q; Wang C; Yang Y; Liu W; Zhu Y Sci Rep; 2024 Feb; 14(1):3305. PubMed ID: 38332044 [TBL] [Abstract][Full Text] [Related]
7. Research on an identification model for mine water inrush sources based on the HBA-CatBoost algorithm. Xu J; Zheng L; Lan H; Zuo Y; Li B; Tian S; Tian Y Sci Rep; 2024 Oct; 14(1):23508. PubMed ID: 39379555 [TBL] [Abstract][Full Text] [Related]
8. An approach for water-inrush risk assessment of deep coal seam mining: a case study in Xinlongzhuang coal mine. Gu Q; Huang Z; Li S; Zeng W; Wu Y; Zhao K Environ Sci Pollut Res Int; 2020 Dec; 27(34):43163-43176. PubMed ID: 32729037 [TBL] [Abstract][Full Text] [Related]
9. Prediction Model of Coal Gas Permeability Based on Improved DBO Optimized BP Neural Network. Wang W; Cui X; Qi Y; Xue K; Liang R; Bai C Sensors (Basel); 2024 Apr; 24(9):. PubMed ID: 38732979 [TBL] [Abstract][Full Text] [Related]
10. Selection of characteristic wavelengths using SPA for laser induced fluorescence spectroscopy of mine water inrush. Hu F; Zhou M; Yan P; Li D; Lai W; Zhu S; Wang Y Spectrochim Acta A Mol Biomol Spectrosc; 2019 Aug; 219():367-374. PubMed ID: 31055243 [TBL] [Abstract][Full Text] [Related]
11. Risk assessment of coal mine water inrush based on PCA-DBN. Zhang Y; Tang S; Shi K Sci Rep; 2022 Jan; 12(1):1370. PubMed ID: 35079120 [TBL] [Abstract][Full Text] [Related]
12. Identification of mine water inrush using laser-induced fluorescence spectroscopy combined with one-dimensional convolutional neural network. Hu F; Zhou M; Yan P; Li D; Lai W; Bian K; Dai R RSC Adv; 2019 Mar; 9(14):7673-7679. PubMed ID: 35521194 [TBL] [Abstract][Full Text] [Related]
13. Mine Water Inrush Risk Assessment Evaluation Based on the GIS and Combination Weight-Cloud Model: A Case Study. Liu W; Han M; Meng X; Qin Y ACS Omega; 2021 Dec; 6(48):32671-32681. PubMed ID: 34901616 [TBL] [Abstract][Full Text] [Related]
14. A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine. Shang Q; Lin C; Yang Z; Bing Q; Zhou X PLoS One; 2016; 11(8):e0161259. PubMed ID: 27551829 [TBL] [Abstract][Full Text] [Related]
15. Groundwater chemical characteristic analysis and water source identification model study in Gubei coal mine, Northern Anhui Province, China. Jiang Q; Liu Q; Liu Y; Chai H; Zhu J Heliyon; 2024 Mar; 10(5):e26925. PubMed ID: 38486773 [TBL] [Abstract][Full Text] [Related]
16. A Mine Water Source Prediction Model Based on LIF Technology and BWO-ELM. Yan P; Li G; Wang W; Zhao Y; Wang J; Wen Z J Fluoresc; 2024 Jan; ():. PubMed ID: 38270796 [TBL] [Abstract][Full Text] [Related]
17. A Multifactor Quantitative Assessment Model for Safe Mining after Roof Drainage in the Liangshuijing Coal Mine. Gao C; Wang D; Liu K; Deng G; Li J; Jie B ACS Omega; 2022 Aug; 7(30):26437-26454. PubMed ID: 35936470 [TBL] [Abstract][Full Text] [Related]
18. Research on mine water source classifications based on BO-CatBoost. Li H; Yang Z; Lv H; Wang M; Zhang B; Yan H; Zhang H Environ Monit Assess; 2024 Sep; 196(10):876. PubMed ID: 39222181 [TBL] [Abstract][Full Text] [Related]
19. Research on SVR Water Quality Prediction Model Based on Improved Sparrow Search Algorithm. Su X; He X; Zhang G; Chen Y; Li K Comput Intell Neurosci; 2022; 2022():7327072. PubMed ID: 35528335 [TBL] [Abstract][Full Text] [Related]
20. Applicability of hybrid bionic optimization models with kernel-based extreme learning machine algorithm for predicting daily reference evapotranspiration: a case study in arid and semiarid regions, China. Zhao L; Zhao X; Li Y; Shi Y; Zhou H; Li X; Wang X; Xing X Environ Sci Pollut Res Int; 2023 Feb; 30(9):22396-22412. PubMed ID: 36289123 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]