Cargando…

Prediction and Screening Model for Products Based on Fusion Regression and XGBoost Classification

Performance prediction based on candidates and screening based on predicted performance value are the core of product development. For example, the performance prediction and screening of equipment components and parts are an important guarantee for the reliability of equipment products. The predict...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wu, Jiaju, Kong, Linggang, Yi, Ming, Chen, Qiuxian, Cheng, Zheng, Zuo, Hongfu, Yang, Yonghui
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357736/ https://www.ncbi.nlm.nih.gov/pubmed/35958779 http://dx.doi.org/10.1155/2022/4987639

Ejemplares similares

The Demand Supply Steady-State Process-Based Multi-Level Spare Parts Optimization
por: Wu, Jiaju, et al.
Publicado: (2021)

Non-contact screening system based for COVID-19 on XGBoost and logistic regression
por: Dong, Chunjiao, et al.
Publicado: (2022)

Automatic Multichannel Electrocardiogram Record Classification Using XGBoost Fusion Model
por: Ye, Xiaohong, et al.
Publicado: (2022)

Predicting ICU Mortality in Rheumatic Heart Disease: Comparison of XGBoost and Logistic Regression
por: Xu, Yixian, et al.
Publicado: (2022)

Classification and prediction of spinal disease based on the SMOTE-RFE-XGBoost model
por: Zhang, Biao, et al.
Publicado: (2023)

XGBoost algorithm and logistic regression to predict the postoperative 5-year outcome in patients with glioma
por: Yan, Zhiqiang, et al.
Publicado: (2022)

An improvement of the CNN-XGboost model for pneumonia disease classification
por: Hedhoud, Yousra, et al.
Publicado: (2023)

Prediction Model of Bone Marrow Infiltration in Patients with Malignant Lymphoma Based on Logistic Regression and XGBoost Algorithm
por: Huang, Yongfen, et al.
Publicado: (2022)

Prediction Model of Postoperative Severe Hypocalcemia in Patients with Secondary Hyperparathyroidism Based on Logistic Regression and XGBoost Algorithm
por: Ding, Chao, et al.
Publicado: (2022)

Artificial Breath Classification Using XGBoost Algorithm for Diabetes Detection
por: Paleczek, Anna, et al.
Publicado: (2021)

HIV-1 tropism prediction by the XGboost and HMM methods
por: Chen, Xiang, et al.
Publicado: (2019)

Improved Multiclassification of Schizophrenia Based on Xgboost and Information Fusion for Small Datasets
por: Zhu, Wenjing, et al.
Publicado: (2022)

MSXFGP: combining improved sparrow search algorithm with XGBoost for enhanced genomic prediction
por: Zhou, Ganghui, et al.
Publicado: (2023)

XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma
por: Le, Nguyen Quoc Khanh, et al.
Publicado: (2020)

Gene Expression Value Prediction Based on XGBoost Algorithm
por: Li, Wei, et al.
Publicado: (2019)

XGBoost-Based E-Commerce Customer Loss Prediction
por: Gan, Lin
Publicado: (2022)

A molecular classification of gastric cancer associated with distinct clinical outcomes and validated by an XGBoost-based prediction model
por: Li, Bing, et al.
Publicado: (2022)

Prediction of Dichloroethene Concentration in the Groundwater of a Contaminated Site Using XGBoost and LSTM
por: Xia, Feiyang, et al.
Publicado: (2022)

Gaofen-3 PolSAR Image Classification via XGBoost and Polarimetric Spatial Information
por: Dong, Hao, et al.
Publicado: (2018)

Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification
por: Zivkovic, Miodrag, et al.
Publicado: (2022)

IRESpy: an XGBoost model for prediction of internal ribosome entry sites
por: Wang, Junhui, et al.
Publicado: (2019)

XGBoost-Based Framework for Smoking-Induced Noncommunicable Disease Prediction
por: Davagdorj, Khishigsuren, et al.
Publicado: (2020)

Research on the Prediction of Green Plum Acidity Based on Improved XGBoost
por: Liu, Yang, et al.
Publicado: (2021)

CNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis
por: Khan, Md. Sakib, et al.
Publicado: (2022)

Assessing the Nationwide COVID-19 Risk in Mexico through the Lens of Comorbidity by an XGBoost-Based Logistic Regression Model
por: Venancio-Guzmán, Sonia, et al.
Publicado: (2022)

Mood Disorder Detection in Adolescents by Classification Trees, Random Forests and XGBoost in Presence of Missing Data
por: Turska, Elzbieta, et al.
Publicado: (2021)

XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage
por: Wang, Ruoran, et al.
Publicado: (2022)

Ultrasound parameters associated with stroke in patients with moyamoya disease: a logistic regression analysis
por: Zheng, Shuai, et al.
Publicado: (2022)

The advanced machine learner XGBoost did not reduce prehospital trauma mistriage compared with logistic regression: a simulation study
por: Larsson, Anna, et al.
Publicado: (2021)

MutTMPredictor: Robust and accurate cascade XGBoost classifier for prediction of mutations in transmembrane proteins
por: Ge, Fang, et al.
Publicado: (2021)

Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning
por: Jiang, Yi-Quan, et al.
Publicado: (2020)

HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection
por: Sang, Xiuzhi, et al.
Publicado: (2020)

Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study
por: Fang, Zheng-gang, et al.
Publicado: (2022)

HEP meets ML award talk : XGBoost
por: HE, Tong, et al.
Publicado: (2015)

Hands-On Gradient Boosting with XGBoost and scikit-learn
por: Wade, Corey, et al.
Publicado: (2020)

BENCHMARKING OF ROOT BOOSTED DECISION TREES AND XGBOOST
por: Mifsud, Xandru
Publicado: (2021)

SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost
por: Liu, Dayun, et al.
Publicado: (2021)

Prediction and Analysis of Length of Stay Based on Nonlinear Weighted XGBoost Algorithm in Hospital
por: Chen, Yong
Publicado: (2021)

Predicting mortality of patients with acute kidney injury in the ICU using XGBoost model
por: Liu, Jialin, et al.
Publicado: (2021)

New York City taxi trip duration prediction using MLP and XGBoost
por: Poongodi, M, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_kijc7j6nqcf86firtb3v5ugret