The nonlinear relationship between built environment and cycling propensity for different travel purposes - based on extreme gradient boosting decision tree. [PDF]
Zhang X +5 more
europepmc +1 more source
CrossFuse-XGBoost: accurate prediction of the maximum recommended daily dose through multi-feature fusion, cross-validation screening and extreme gradient boosting. [PDF]
Li Q, He Y, Pan J.
europepmc +1 more source
This work demonstrates a new strategy for reversible protonic ceramic cells (R‐PCCs). By developing highly hydrophilic oxides, efficient operation is achieved under low water vapor pressures while maintaining high performance and stability. This approach addresses the challenge of hydrogen production in freshwater‐scarce regions.
Nai Shi +15 more
wiley +1 more source
Gradient-enhanced neural network and extreme gradient boosting modeling for the prediction of the 3D bone mineral density distribution from 2D-DXA scans. [PDF]
Seo J, Quagliato L, Chung YS, Lee T.
europepmc +1 more source
A Precise Method to Detect Post-COVID-19 Pulmonary Fibrosis Through Extreme Gradient Boosting. [PDF]
Jha M, Gupta R, Saxena R.
europepmc +1 more source
Sustainable Productivity Growth in Agriculture: The Role of Shifts in R&D Investments and Technology
ABSTRACT The objective of the paper is to evaluate the long‐term prospects of sustainable productivity growth linked to plausible assumptions on public agricultural R&D investments as the key productivity driver. Second, it investigates the role of changing R&D focus from yield maximization to input saving technologies (fertilizers and pesticides). The
Zuzana Smeets Křístková +4 more
wiley +1 more source
Enhanced extreme gradient boosting based algorithm for mobility management of autonomous vehicles from sub 6 GHz to mmWave networks. [PDF]
Majid SI +7 more
europepmc +1 more source
COOBoostR: An Extreme Gradient Boosting-Based Tool for Robust Tissue or Cell-of-Origin Prediction of Tumors. [PDF]
Yang S +9 more
europepmc +1 more source
Farmers' Preferences for Gene Editing Crops and Influencing Factors
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele +1 more
wiley +1 more source
Assessment of resilient modulus of soil using hybrid extreme gradient boosting models. [PDF]
Duan X.
europepmc +1 more source

