Results 1 to 10 of about 4,436,251 (260)

On the Relation between Prediction and Imputation Accuracy under Missing Covariates

Entropy, 2022
Missing covariates in regression or classification problems can prohibit the direct use of advanced tools for further analysis. Recent research has realized an increasing trend towards the use of modern Machine-Learning algorithms for imputation.
Burim Ramosaj, Justus Tulowietzki, Markus Pauly   +2 more
doaj   +3 more sources

Prediction and Sensitivity Analysis of CO2 Capture by Amine Solvent Scrubbing Technique Based on BP Neural Network

Frontiers in Bioengineering and Biotechnology, 2022
With the rapid development of artificial intelligence, bionic algorithm has been gradually applied in various fields, and neural network has become an important and hot issue in the field of scientific research and engineering in recent years.
Jiangtao Fu, Jiangtao Fu, Jiangtao Fu, Jiangtao Fu, Yufeng Chang, Yufeng Chang, Bijie Huang, Bijie Huang   +7 more
doaj   +1 more source

Predicting milk protein fractions using infrared spectroscopy and a gradient boosting machine for breeding purposes in Holstein cattle

Journal of Dairy Science, 2023
: In recent years, increasing attention has been focused on the genetic evaluation of protein fractions in cow milk with the aim of improving milk quality and technological characteristics.
L.F. Macedo Mota, V. Bisutti, A. Vanzin, S. Pegolo, A. Toscano, S. Schiavon, F. Tagliapietra, L. Gallo, P. Ajmone Marsan, A. Cecchinato   +9 more
doaj   +1 more source

Short-Term Forecasting of Photovoltaic Power Generation Based on Feature Selection and Bias Compensation–LSTM Network

Energies, 2021
In this paper, a hybrid model that considers both accuracy and efficiency is proposed to predict photovoltaic (PV) power generation. To achieve this, improved forward feature selection is applied to obtain the optimal feature set, which aims to remove ...
Cai Tao, Junjie Lu, Jianxun Lang, Xiaosheng Peng, Kai Cheng, Shanxu Duan   +5 more
doaj   +1 more source

Influence Analysis of Simulation Parameters on Numerical Prediction of Compressible External Flow Field Based on NACA0012 Airfoil under Hypersonic Speed

Applied Sciences, 2022
Currently, the influence of numerical parameters on the prediction accuracy of the compressible external flow field characterized by a NACA0012 airfoil under hypersonic speed, especially the influence analyses of the trailing edge shape, the modeling ...
Lu Yang, Guangming Zhang
doaj   +1 more source

Clinical Significance of Gamma-Glutamyltranspeptidase Combined with Carbohydrate-Deficient Transferrin for the Assessment of Excessive Alcohol Consumption in Patients with Alcoholic Cirrhosis

Medicines, 2021
Background: This study aimed to compare the diagnostic performance of carbohydrate-deficient transferrin (CDT) and gamma-glutamyltranspeptidase (γ-GTP) to assess the single and combined benefits of these biological markers for the detection of chronic ...
Akihiko Shibamoto, Tadashi Namisaki, Junya Suzuki, Takahiro Kubo, Satoshi Iwai, Fumimasa Tomooka, Soichi Takeda, Yuki Fujimoto, Masahide Enomoto, Koji Murata, Takashi Inoue, Koji Ishida, Hiroyuki Ogawa, Hirotetsu Takagi, Daisuke Kaya, Yuki Tsuji, Takahiro Ozutsumi, Yukihisa Fujinaga, Masanori Furukawa, Norihisa Nishimura, Yasuhiko Sawada, Koh Kitagawa, Shinya Sato, Hiroaki Takaya, Kosuke Kaji, Naotaka Shimozato, Hideto Kawaratani, Kei Moriya, Takemi Akahane, Akira Mitoro, Hitoshi Yoshiji   +30 more
doaj   +1 more source

Genetic Dissection of Grain Yield of Maize and Yield-Related Traits Through Association Mapping and Genomic Prediction

Frontiers in Plant Science, 2021
High yield is the primary objective of maize breeding. Genomic dissection of grain yield and yield-related traits contribute to understanding the yield formation and improving the yield of maize.
Juan Ma, Yanyong Cao
doaj   +1 more source

Assessment of genomic prediction accuracy using different selection and evaluation approaches in a simulated Korean beef cattle population [PDF]

Asian-Australasian Journal of Animal Sciences, 2020
Objective This study assessed genomic prediction accuracies based on different selection methods, evaluation procedures, training population (TP) sizes, heritability (h2) levels, marker densities and pedigree error (PE) rates in a simulated Korean beef ...
Chiemela Peter Nwogwugwu, Yeongkuk Kim, Hyunji Choi, Jun Heon Lee, Seung-Hwan Lee   +4 more
doaj   +1 more source

Assessment of landslide susceptibility mapping based on XGBoost model: A case study of Yanshan Township

Zhongguo dizhi zaihai yu fangzhi xuebao, 2023
Landslide susceptibility assessment forms the foundation for precise evaluation of landslide risk. To enhance the accuracy and robustness of landslide susceptibility mapping, a state-of-art machine learning algorithm named the extreme gradient boosting ...
Hongyang WU, Chao ZHOU, Xin LIANG, Pengcheng YUAN, Lanbing YU   +4 more
doaj   +1 more source

Differential Analysis and Prediction of Planar Shape at the Head and Tail Ends of Medium-Thickness Plate Rolling

Metals, 2023
This paper aims to improve planar shape prediction accuracy in the rolling process of medium and thick plates. We present a model based on the strip method that addresses limitations in predicting planar shape variations at the head and tail ends of ...
Shiyu Yang, Hongmin Liu, Dongcheng Wang
doaj   +1 more source