Results 121 to 130 of about 22,736 (245)
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
Nonlinear permuted Granger causality
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley +1 more source
Improvement in the Usability of Meat Inspection Findings for Swine Herd Health Management. [PDF]
Maric D +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
First molecular characterisation of Sarcocystis miescheriana in a pig carcass condemned during routine meat inspection in Poland. [PDF]
Korpysa-Dzirba W +11 more
europepmc +1 more source
ABSTRACT Objective To synthesize the evidence on the associations between vegetarian and vegan diets (VVDs) and eating disorder (ED) symptoms compared with omnivorous diets across the lifespan. Method Following the preferred reporting items for systematic reviews and meta‐analyses (PRISMA) 2020 Guidelines, we searched PubMed, Scopus, Cochrane Library ...
Valentina Díaz‐Goñi +8 more
wiley +1 more source
Meat Inspection Decisions Regarding Pig Carcasses Affected by Osteomyelitis at the Slaughterhouse: From Etiopathogenesis to Total Condemnation Criteria. [PDF]
Rodrigues MA +3 more
europepmc +1 more source
Abstract Ecological niche models (ENMs) are commonly used to predict species' potential distributions across space and time, allowing researchers and practitioners to assess invasion risk, estimate the impacts of future climate change, and reconstruct past distributions.
Gonzalo E. Pinilla‐Buitrago +2 more
wiley +1 more source
Relationship between animal-based on-farm indicators and meat inspection data in pigs. [PDF]
Witt J +7 more
europepmc +1 more source

