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CH Instruments gpr prediction model
Gpr Prediction Model, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gpr+prediction+model/gpr+prediction+model/10__1007_slash_s00170___024___14491___x-311-5-21
Average 90 stars, based on 1 article reviews
gpr prediction model - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Research on subsurface damage mechanism and suppression method of ultrasonic vibration–assisted grinding of sapphire components under extreme service environment
Article Snippet: Single-crystal sapphire (α-Al2O3) has a wide range of applications in a variety of extreme environments due to its excellent mechanical and chemical properties as well as its stability under extreme service conditions.. In addition, sapphire is a hard and brittle material, which makes it difficult to avoid the introduction of subsurface damage during processing, and the existence of a subsurface damage layer seriously affects the performance of the optical system.. Therefore, this study focuses on the mechanism of subsurface damage in sapphire grinding, the suppression of damage depth, and the accurate and fast prediction of damage depth.



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MathWorks Inc predictive, gaussian process regression (gpr) model
(a) Normalized Root Mean Square Error (nRMSE) values between the <t>Gaussian</t> Predictor Response <t>(GPR)</t> predicted OHC ANTH and actual OHC ANTH generated by withholding one predictor at a time for the Control (gray), AIS (blue), GrIS (pink), and AGrIS (black) simulations. (b) Same as for panel (a) but for C ANTH .
Predictive, Gaussian Process Regression (Gpr) Model, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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CH Instruments gpr prediction model
(a) Normalized Root Mean Square Error (nRMSE) values between the <t>Gaussian</t> Predictor Response <t>(GPR)</t> predicted OHC ANTH and actual OHC ANTH generated by withholding one predictor at a time for the Control (gray), AIS (blue), GrIS (pink), and AGrIS (black) simulations. (b) Same as for panel (a) but for C ANTH .
Gpr Prediction Model, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/gpr+prediction+model/gpr+prediction+model/10__1007_slash_s00170___024___14491___x-311-5-21
Average 90 stars, based on 1 article reviews
gpr prediction model - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier

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(a) Normalized Root Mean Square Error (nRMSE) values between the Gaussian Predictor Response (GPR) predicted OHC ANTH and actual OHC ANTH generated by withholding one predictor at a time for the Control (gray), AIS (blue), GrIS (pink), and AGrIS (black) simulations. (b) Same as for panel (a) but for C ANTH .

Journal: Earth's Future

Article Title: The Nonlinear and Distinct Responses of Ocean Heat Content and Anthropogenic Carbon to Ice Sheet Freshwater Discharge in a Warming Climate

doi: 10.1029/2024EF004475

Figure Lengend Snippet: (a) Normalized Root Mean Square Error (nRMSE) values between the Gaussian Predictor Response (GPR) predicted OHC ANTH and actual OHC ANTH generated by withholding one predictor at a time for the Control (gray), AIS (blue), GrIS (pink), and AGrIS (black) simulations. (b) Same as for panel (a) but for C ANTH .

Article Snippet: Here, we identify the different driving factors in the FW linear and nonlinear OHC ANTH and C ANTH responses using a predictive, Gaussian Process Regression (GPR) model in MATLAB's Regression Learner toolbox.

Techniques: Generated, Control