Results 241 to 250 of about 48,608 (309)
Feature Extraction and Unsupervised Classification of Roadway Fracture Signals: A Full-Section Wi-Fi Wireless Monitoring Approach. [PDF]
Zu C +5 more
europepmc +1 more source
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang +3 more
wiley +1 more source
Deformation analysis of large-section quasi-rectangular shield construction on existing underground pipelines and power tunnel. [PDF]
Ma SJ +5 more
europepmc +1 more source
This study reveals the failure evolution characteristics of deep cross‐fault roadway surrounding rock under excavation support and periodic weighting. Periodic weighting readily induces fault activation, with the spatial distribution of failed rock masses being controlled by the fault strike and dip.
Tiezhu Li +4 more
wiley +1 more source
A Hybrid ISSA-XGBoost Model for Predicting Wellbore Leakage. [PDF]
Bai K +5 more
europepmc +1 more source
ABSTRACT Objective Quantitative methods that have evaluated the Eating Disorder Examination Questionnaire (EDE‐Q) have found consistent evidence that the original four‐factor structure does not replicate across diverse samples and genders. Emerging evidence in the broader psychology literature shows that qualitative methods can provide nuanced insight ...
Katarina L. Huellemann +3 more
wiley +1 more source
Assessing building damage during station break-out in urban railway construction: real monitoring data. [PDF]
Alajlan ZS +4 more
europepmc +1 more source
ABSTRACT Objective This study aimed to assess the structural validity and readability of a brief 7‐item version of the Eating Disorder Examination Questionnaire (the EDE‐Q7) among adolescents. Method Latent variable analysis was used in a sample of 263 adolescents (age range = 13–17.99y) diagnosed with an eating disorder and recruited from treatment ...
Paul E. Jenkins +7 more
wiley +1 more source
Ground Penetrating Radar for Subsurface Utility Detection: Methods, Challenges, and Future Directions. [PDF]
Gao S, Hu D.
europepmc +1 more source

