Results 211 to 220 of about 287,343 (334)

An Ensemble Learning-Based Method for Missing Data Imputation in Road Maintenance [PDF]

Shuyuan Tang
openalex   +1 more source

Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives

Agribusiness, EarlyView.
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza, Ibtissem Taghouti, José María Gil Roig   +2 more
wiley   +1 more source

An Enhanced Generative Adversarial Imputation Network With Unsupervised Learning for Random Missing Data Imputation of All Sensors

Xin Xie, Ying Lei, Chunyan Xiang, Yixian Li, Lijun Liu   +4 more
openalex   +1 more source

Independent Prognostic Significance of Perforation in Colorectal Cancer: Insights From a Propensity Score‐Matched Cohort Study

Annals of Gastroenterological Surgery, EarlyView.
Perforated colorectal cancer (PCC) is considered to have a poor prognosis; however, it remains unclear whether this is attributable to perforation itself or to perforation‐related clinicopathological factors. In this study, we analyzed prognosis using propensity score matching with perforation‐related factors and demonstrated that perforation is an ...
Yoshiaki Fujii, Shuhei Ueno, Yoshinaga Aoyama, Hiroyuki Imafuji, Takahisa Hirokawa, Hirotaka Miyai, Masahiro Kimura, Kenji Kobayashi, Shuji Takiguchi   +8 more
wiley   +1 more source

Missing Data Imputation Method Combining Random Forest and Generative Adversarial Imputation Network. [PDF]

Sensors (Basel)
Ou H, Yao Y, He Y.
europepmc   +1 more source

Imputation of missing variance data using non‐linear mixed effects modelling to enable an inverse variance weighted meta‐analysis of summary‐level longitudinal data: a case study [PDF]

, 2012
Martin Boucher
openalex   +1 more source

Multifactor Risk Stratification for Post‐Transplant Alcohol Relapse Using Abstinence, Psychosocial, and Socioeconomic Factors

Annals of Gastroenterological Surgery, EarlyView.
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana, Garren Montgomery, Miho Akabane, Matthew Hamilton, Navdeep Singh, Musab Alebrahim, Austin Schenk, Sylvester Black, Kenneth Washburn, Khalid Mumtaz   +9 more
wiley   +1 more source

Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South Africa

, 2015
Katya L Masconi, Tandi E. Matsha, Rajiv T. Erasmus, André Pascal Kengne   +3 more
openalex   +2 more sources

Parametric fractional imputation for mixed models with nonignorable missing data [PDF]

, 2013
Shu Yang, Jaekwang Kim, Zhengyuan Zhu
openalex   +1 more source

Reaction kinetics model in liquid and solid phases and its parameterization for room temperature sodium–sulfur battery

AIChE Journal, EarlyView.
Abstract A multipore, multiphase, continuum model is assembled for the first time for room temperature sodium–sulfur (RT Na–S) batteries, with Na+ ion transport and redox reactions in the liquid electrolyte phase and semisolid phase of precipitates softened by the electrolyte solvent, as guided by molecular dynamics simulations in this study ...
Hakeem A. Adeoye, Allan Foster, John F. Watts, Constantina Lekakou   +3 more
wiley   +1 more source