Results 191 to 200 of about 251,998 (281)
Multimodal brain-tumor segmentation based on Dirichlet process mixture model with anisotropic diffusion and Markov random field prior. [PDF]
Lu Y, Jiang J, Yang W, Feng Q, Chen W.
europepmc +1 more source
Abstract Species occurrence is often influenced by changes in environmental conditions at multiple spatial and temporal scales working simultaneously in a hierarchical fashion. While previous dynamic multi‐scale occupancy modelling frameworks address dynamics at multiple spatial scales, they assume both large‐scale and small‐scale units are closed ...
Erin Shepta +4 more
wiley +1 more source
Class-specific weighting for Markov random field estimation: application to medical image segmentation. [PDF]
Monaco JP, Madabhushi A.
europepmc +1 more source
Addressing ecological challenges from a quantum computing perspective
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet +2 more
wiley +1 more source
Identifying protein interaction subnetworks by a bagging Markov random field-based method. [PDF]
Chen L +4 more
europepmc +1 more source
Inferring state‐dependent diversification rates using approximate Bayesian computation
Abstract State‐dependent speciation and extinction (SSE) models are a popular framework for quantifying whether species traits have an impact on evolutionary rates and how this shapes the variation in species richness among clades in a phylogeny.
Shu Xie, Luis Valente, Rampal S. Etienne
wiley +1 more source
A diagram of the integrated species distribution model of river otter intensity of use. Three types of data (latrine detections, roadkill detections, and detection/nondetection surveys) are linked by different observation processes to the same underlying intensity of use.
John G. Crockett +2 more
wiley +1 more source
Abstract The timing and amount of rainfall are crucial in forage growth. Producer perceptions of the rainfall distribution are likely to influence their choices related to the Pasture, Rangeland, and Forage Rainfall Index insurance program. Because of the scarcity of forage production data, diversity of forage production systems, and climates ...
Brittney Goodrich +3 more
wiley +1 more source
Field‐level crop choice responses to weather‐induced yield shocks in the US Corn Belt
Abstract As climate change increases the frequency and severity of extreme heat events, farmers are expected to face greater variability in crop yields. Using 10 million field‐level observations, this study examines how farmers in the US Corn Belt adjust corn–soybean rotation decisions in response to yield shocks largely driven by weather fluctuations.
Seunghyun Lee
wiley +1 more source

