Results 131 to 140 of about 2,042 (241)
Comparison of two Metop-3MI instrument models and implications for on-ground testing in multi-unit space missions. [PDF]
Clermont L +7 more
europepmc +1 more source
Markets Mitigate Land‐Use Competition From Energy Crops and Increase Farm Revenues
ABSTRACT Meeting the US Sustainable Aviation Fuel Grand Challenge target of 35 billion gal annually by 2050 will require an estimated 380 million–700 million dry tons of agricultural biomass feedstock. This study evaluates the implications of large‐scale biomass production for land use, crop production, and market outcomes under mature market ...
Daniel G. De La Torre Ugarte +2 more
wiley +1 more source
Balancing Harvesting and Conservation: Demographic Responses of a Threatened Palm to Anthropogenic Disturbance. [PDF]
Mendes ETB, Portela RCQ.
europepmc +1 more source
Abstract Despite extensive modeling efforts in extraction research, transient column models are rarely applied in industry due to concerns regarding parameter identifiability and model reliability. To address this, we analyzed uncertainty propagation from estimated parameters in a previously introduced column model and assessed identifiability via ill ...
Andreas Palmtag +2 more
wiley +1 more source
Mean and variance heterogeneity loci impact kernel compositional traits in maize. [PDF]
Ismail YMA +5 more
europepmc +1 more source
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
Critical evaluation of the theory and practice of feed-forward neural networks for genomic prediction. [PDF]
Kusmec A, Negus KL, Yu J.
europepmc +1 more source
Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi +2 more
wiley +1 more source
Multi-omics data integration for enhanced cancer subtyping via interactive multi-kernel learning. [PDF]
Cao H +11 more
europepmc +1 more source

