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.
125 related articles for article (PubMed ID: 38689981)
1. Research on prediction of Sun M; Yang J; Yang C; Wang W; Wang X; Li H Heliyon; 2024 Apr; 10(7):e28246. PubMed ID: 38689981 [TBL] [Abstract][Full Text] [Related]
2. Prediction of ground vibration due to mine blasting in a surface lead-zinc mine using machine learning ensemble techniques. Hosseini S; Pourmirzaee R; Armaghani DJ; Sabri Sabri MM Sci Rep; 2023 Apr; 13(1):6591. PubMed ID: 37085660 [TBL] [Abstract][Full Text] [Related]
3. Research on the prediction of blasting fragmentation in open-pit coal mines based on KPCA-BAS-BP. Liu S; Qu E; Lv C; Zhang X Sci Rep; 2024 Oct; 14(1):16804. PubMed ID: 39402089 [TBL] [Abstract][Full Text] [Related]
4. Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms. Nguyen H; Choi Y; Bui XN; Nguyen-Thoi T Sensors (Basel); 2019 Dec; 20(1):. PubMed ID: 31878226 [TBL] [Abstract][Full Text] [Related]
5. Prediction of road dust concentration in open-pit coal mines based on multivariate mixed model. Wang M; Yang Z; Tai C; Zhang F; Zhang Q; Shen K; Guo C PLoS One; 2023; 18(4):e0284815. PubMed ID: 37099504 [TBL] [Abstract][Full Text] [Related]
6. A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization. Bui XN; Jaroonpattanapong P; Nguyen H; Tran QH; Long NQ Sci Rep; 2019 Sep; 9(1):13971. PubMed ID: 31562369 [TBL] [Abstract][Full Text] [Related]
7. Influence of Recirculation Flow on the Dispersion Pattern of Blasting Dust in Deep Open-Pit Mines. Chen Z; Du C; Wang J; Wang Y ACS Omega; 2023 Aug; 8(34):31353-31364. PubMed ID: 37663507 [TBL] [Abstract][Full Text] [Related]
8. An optimized XGBoost-based machine learning method for predicting wave run-up on a sloping beach. Tarwidi D; Pudjaprasetya SR; Adytia D; Apri M MethodsX; 2023; 10():102119. PubMed ID: 37007622 [TBL] [Abstract][Full Text] [Related]
9. Predicting ground vibration during rock blasting using relevance vector machine improved with dual kernels and metaheuristic algorithms. Fissha Y; Khatti J; Ikeda H; Grover KS; Owada N; Toriya H; Adachi T; Kawamura Y Sci Rep; 2024 Aug; 14(1):20026. PubMed ID: 39198596 [TBL] [Abstract][Full Text] [Related]
10. Compressive Strength Prediction of Cemented Backfill Containing Phosphate Tailings Using Extreme Gradient Boosting Optimized by Whale Optimization Algorithm. Xiong S; Liu Z; Min C; Shi Y; Zhang S; Liu W Materials (Basel); 2022 Dec; 16(1):. PubMed ID: 36614647 [TBL] [Abstract][Full Text] [Related]
11. A Hybrid Model for Temperature Prediction in a Sheep House. Feng D; Zhou B; Hassan SG; Xu L; Liu T; Cao L; Liu S; Guo J Animals (Basel); 2022 Oct; 12(20):. PubMed ID: 36290192 [TBL] [Abstract][Full Text] [Related]
12. Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation. Huang J; Chen H; Deng J; Liu X; Shu T; Yin C; Duan M; Fu L; Wang K; Zeng S Front Neurol; 2023; 14():1185447. PubMed ID: 37614971 [TBL] [Abstract][Full Text] [Related]
13. Extreme gradient boosting model to assess risk of central cervical lymph node metastasis in patients with papillary thyroid carcinoma: Individual prediction using SHapley Additive exPlanations. Zou Y; Shi Y; Sun F; Liu J; Guo Y; Zhang H; Lu X; Gong Y; Xia S Comput Methods Programs Biomed; 2022 Oct; 225():107038. PubMed ID: 35930861 [TBL] [Abstract][Full Text] [Related]
14. [Application of machine learning model based on XGBoost algorithm in early prediction of patients with acute severe pancreatitis]. Gao X; Lin J; Wu A; Gu H; Liu X; Yin M; Zhou Z; Zhang R; Xu C; Zhu J Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Apr; 35(4):421-426. PubMed ID: 37308200 [TBL] [Abstract][Full Text] [Related]
15. Prediction of Rock Unloading Strength Based on PSO-XGBoost Hybrid Models. Liu B; Lin H; Chen Y; Yang C Materials (Basel); 2024 Aug; 17(17):. PubMed ID: 39274602 [TBL] [Abstract][Full Text] [Related]
16. Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer. Yu M; Yuan Z; Li R; Shi B; Wan D; Dong X Front Oncol; 2024; 14():1337219. PubMed ID: 38380369 [TBL] [Abstract][Full Text] [Related]
17. Predicting the Tool Wear of a Drilling Process Using Novel Machine Learning XGBoost-SDA. Alajmi MS; Almeshal AM Materials (Basel); 2020 Nov; 13(21):. PubMed ID: 33158099 [TBL] [Abstract][Full Text] [Related]
18. Improving the prediction of wildfire susceptibility on Hawai'i Island, Hawai'i, using explainable hybrid machine learning models. Tran TTK; Janizadeh S; Bateni SM; Jun C; Kim D; Trauernicht C; Rezaie F; Giambelluca TW; Panahi M J Environ Manage; 2024 Feb; 351():119724. PubMed ID: 38061099 [TBL] [Abstract][Full Text] [Related]
19. Establishment and validation of a heart failure risk prediction model for elderly patients after coronary rotational atherectomy based on machine learning. Zhang L; Zhou X; Cao J PeerJ; 2024; 12():e16867. PubMed ID: 38313005 [TBL] [Abstract][Full Text] [Related]
20. Predictive modeling of blood pressure during hemodialysis: a comparison of linear model, random forest, support vector regression, XGBoost, LASSO regression and ensemble method. Huang JC; Tsai YC; Wu PY; Lien YH; Chien CY; Kuo CF; Hung JF; Chen SC; Kuo CH Comput Methods Programs Biomed; 2020 Oct; 195():105536. PubMed ID: 32485511 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]