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.
4. Autonomous materials discovery driven by Gaussian process regression with inhomogeneous measurement noise and anisotropic kernels. Noack MM; Doerk GS; Li R; Streit JK; Vaia RA; Yager KG; Fukuto M Sci Rep; 2020 Oct; 10(1):17663. PubMed ID: 33077759 [TBL] [Abstract][Full Text] [Related]
5. An Extended Kriging Method to Interpolate Near-Surface Soil Moisture Data Measured by Wireless Sensor Networks. Zhang J; Li X; Yang R; Liu Q; Zhao L; Dou B Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28617351 [TBL] [Abstract][Full Text] [Related]
7. Using Kriging incorporated with wind direction to investigate ground-level PM Zhang H; Zhan Y; Li J; Chao CY; Liu Q; Wang C; Jia S; Ma L; Biswas P Sci Total Environ; 2021 Jan; 751():141813. PubMed ID: 32898747 [TBL] [Abstract][Full Text] [Related]
9. An adaptive Kriging surrogate method for efficient joint estimation of hydraulic and biochemical parameters in reactive transport modeling. Zhou J; Su X; Cui G J Contam Hydrol; 2018 Sep; 216():50-57. PubMed ID: 30170768 [TBL] [Abstract][Full Text] [Related]
11. Design optimization of stent and its dilatation balloon using kriging surrogate model. Li H; Liu T; Wang M; Zhao D; Qiao A; Wang X; Gu J; Li Z; Zhu B Biomed Eng Online; 2017 Jan; 16(1):13. PubMed ID: 28086895 [TBL] [Abstract][Full Text] [Related]
12. Erratum: Eyestalk Ablation to Increase Ovarian Maturation in Mud Crabs. J Vis Exp; 2023 May; (195):. PubMed ID: 37235796 [TBL] [Abstract][Full Text] [Related]
13. Kriging with Unknown Variance Components for Regional Ionospheric Reconstruction. Huang L; Zhang H; Xu P; Geng J; Wang C; Liu J Sensors (Basel); 2017 Feb; 17(3):. PubMed ID: 28264424 [TBL] [Abstract][Full Text] [Related]
14. Geostatistical mapping of precipitation: implications for rain gauge network design. Nour MH; Smit DW; Gamal El-Din M Water Sci Technol; 2006; 53(10):101-10. PubMed ID: 16838694 [TBL] [Abstract][Full Text] [Related]
16. A CFD-based Kriging surrogate modeling approach for predicting device-specific hemolysis power law coefficients in blood-contacting medical devices. Craven BA; Aycock KI; Herbertson LH; Malinauskas RA Biomech Model Mechanobiol; 2019 Aug; 18(4):1005-1030. PubMed ID: 30815758 [TBL] [Abstract][Full Text] [Related]
17. Application of a semivariogram based on a deep neural network to Ordinary Kriging interpolation of elevation data. Li Y; Baorong Z; Xiaohong X; Zijun L PLoS One; 2022; 17(4):e0266942. PubMed ID: 35452466 [TBL] [Abstract][Full Text] [Related]