Optimization of the n-type HPGe detector parameters using the “design of experiments” technique

Arectout, A.; Boukhal, H.; Chakir, E.; Chham, E.; Ferro-Garcı́a, M.A.; Piñero-García, F.; Azahra, M.; Makhloul, M.; Azougagh, M.; Yaakoubi, H. El; Zidouh, I.; Expósito-Suárez, V.M.

doi:10.1016/j.radphyschem.2021.109733

Radiation Physics and Chemistry

2021

DOI: 10.1016/j.radphyschem.2021.109733

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Optimization of the n-type HPGe detector parameters using the “design of experiments” technique

A. Arectout

H. Boukhal

E. Chakir

et al.

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Cited by 9 publications

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“…variables do not obey the normal distribution, which means that these six technical variables of men's tennis singles winning have a large deviation from the average level. Therefore, only the variable first round goal rate, first round scoring rate, receiving scoring rate, and unforced errors follow the normal distribution, which means that the technical variables of winning the four men's tennis singles are less deviated from the average level[7][8].…”

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Analysis of tennis techniques and tactics based on multiple linear regression model

Wang

2023

Applied Mathematics and Nonlinear Sciences

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In order to make up for the existing deficiencies in the analysis of the factors affecting the athletes’ victory, scientifically and effectively judge the technical indicators that affect the athletes’ victory, the author puts forward the analysis of tennis techniques and tactics based on multiple linear regression model. Based on the Logistic regression model, the author made statistics on the data of 10 events of men's singles in 2021 Open, and conducted a series of tests such as normal distribution test and Kruskal Wallis test on the data, finally, a regression model was obtained, which believed that the scoring rate of the first round, the second round and the second round had the greatest impact on the victory or defeat of men's singles in 2021 open, the final Logistic regression model was used to test the goodness of fit of various data of men's tennis singles in 2021, the segmentation point was selected as 0.5, and the prediction accuracy of the regression model was 82.1%. Therefore, it can be determined that this model has a high accuracy in predicting the victory or defeat of 2021 men's tennis singles matches, and the regression model has a good prediction effect. It is suggested that athletes should pay attention to the integrated ability training of attack and defense.

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confidence: 99%

Analysis of tennis techniques and tactics based on multiple linear regression model

Wang

2023

Applied Mathematics and Nonlinear Sciences

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Assessment of dead layers thickness of an HPGe detector after an extended operating period using response surface methodology and Box–Behnken design

Arectout,

Boukhal,

Chham

et al. 2023

Radiat Detect Technol Methods

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Bayesian optimization of a collimated HPGe detector model for Segmented Gamma Scanning

Casas-Molina,

Laloy,

Rogiers

et al. 2024

Nuclear Instruments and Methods in Physics Research Section A:

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Optimization of the n-type HPGe detector parameters using the “design of experiments” technique

Cited by 9 publications

References 14 publications

Analysis of tennis techniques and tactics based on multiple linear regression model

Analysis of tennis techniques and tactics based on multiple linear regression model

Assessment of dead layers thickness of an HPGe detector after an extended operating period using response surface methodology and Box–Behnken design

Bayesian optimization of a collimated HPGe detector model for Segmented Gamma Scanning

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