Results 221 to 230 of about 161,008 (305)

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

Deep Underground Science and Engineering, EarlyView.
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, Guoyan Zhao, Meng Wang, Taraka Pattela   +3 more
wiley   +1 more source

Deep Learning-Based Image Steganography with Latent Space Embedding and Smart Decoder Selection. [PDF]

Entropy (Basel)
Zhou Y, Wang N, Hong X, Peng Y, Shao S.
europepmc   +1 more source

Investigation on the failure evolution characteristics of surrounding rock in deep cross‐fault roadway: Based on physical model test and numerical simulation

Deep Underground Science and Engineering, EarlyView.
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, Suping Peng, Jing Zheng, Zhanhua Yang, Qijun Tian   +4 more
wiley   +1 more source

Reversible data hiding in encrypted images using LWE-based secret sharing. [PDF]

Sci Rep
Saeidi Z, Mirzakuchaki S.
europepmc   +1 more source

Integrated numerical simulation and source‐sink matching methodology for Basin‐Wide CO2 storage assessment in depleted reservoirs: A Cambay Basin case study

Deep Underground Science and Engineering, EarlyView.
This study presents an integrated workflow to evaluate secure and large‐scale CO2 storage in depleted oil reservoirs of the Cambay Basin, India. Industrial CO2 sources are systematically matched with mature oil fields using a quantitative source–sink framework to minimize transport distance and cost.
Bhaskarjyoti Khanikar
wiley   +1 more source

Visually meaningful image encryption using convolution neural networks. [PDF]

Sci Rep
Himthani V, Hemrajani P, Kumar A.
europepmc   +1 more source

Investigating Perceptions of the Eating Disorder Examination‐Questionnaire Among Undergraduate Students: A Qualitative Approach

International Journal of Eating Disorders, EarlyView.
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, Safia Ouédraogo, Janet A. Lydecker, Sarah E. Racine   +3 more
wiley   +1 more source

Sex Differences in Social, Health, and Lifestyle Characteristics Associated With Binge‐Eating Behaviors: Results From a French National Random Population‐Based Study

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To explore sex differences in social, health and lifestyle characteristics associated with binge‐eating behaviors in a large population‐based study. Method This study included 84,995 participants (women 52.1%) aged ≥ 15 years from the French national random population‐based EpiCov cohort.
Junko Kose, Nathalie Godart, Anne Pastorello, Caroline Huas, Alexandra Rouquette, EpiCov Study Group, Josiane Warszawski, Nathalie Bajos, Guillaume Bagein, François Beck, Emilie Counil, Florence Jusot, Nathalie Lydié, Claude Martin, Laurence Meyer, Philippe Raynaud, Alexandra Rouquette, Ariane Pailhé, Delphine Rahib, Patrick Sillard, Rémy Slama, Alexis Spire   +21 more
wiley   +1 more source

Structural Validity of a Short Form of the Eating Disorder Examination Questionnaire in Adolescents Diagnosed With an Eating Disorder

International Journal of Eating Disorders, EarlyView.
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, Sasha Gorrell, Erin C. Accurso, Sarah Eckhardt, Elizabeth K. Hughes, Daniel Le Grange, Susan M. Sawyer, Renee D. Rienecke   +7 more
wiley   +1 more source