Results 211 to 220 of about 47,039 (298)
Service-oriented node scheduling scheme for wireless sensor networks using Markov random field model. [PDF]
Cheng H, Su Z, Lloret J, Chen G.
europepmc +1 more source
The ruffed grouse Bonasa umbellus is a species of conservation concern that has declined across most of its range. At the southeastern trailing edge of the range in Georgia, grouse are restricted to elevations 600 m a.s.l. and abundance is relatively low.
Clayton D. Delancey +5 more
wiley +1 more source
Segmenting pectoralis muscle on digital mammograms by a Markov random field-maximum a posteriori model. [PDF]
Ge M +3 more
europepmc +1 more source
Field test of assumptions for using line transect distance sampling on rock ptarmigan
Reliable population estimates are essential for the management of harvested species. Line transect distance sampling using pointing dogs is an established survey method for willow ptarmigan and has also been proposed for the monitoring of rock ptarmigan.
Marius Kjønsberg +3 more
wiley +1 more source
A Markov Random Field Groupwise Registration Framework for Face Recognition. [PDF]
Liao S, Shen D, Chung AC.
europepmc +1 more source
Overabundant populations of eastern grey kangaroos Macropus giganteus in peri‐urban areas pose ecological and social challenges. Current management strategies are often hindered by animal welfare and logistical concerns. This study aimed to assess stress responses of kangaroos to two contraceptive delivery methods.
Fabiola R. O. Silva +4 more
wiley +1 more source
A MARKOV RANDOM FIELD-BASED APPROACH TO CHARACTERIZING HUMAN BRAIN DEVELOPMENT USING SPATIAL-TEMPORAL TRANSCRIPTOME DATA. [PDF]
Lin Z +5 more
europepmc +1 more source
Long‐term population monitoring is fundamental to wildlife population management. Furbearer populations are often surveyed using multiple methods, but many estimates of their abundance, especially abundance indices, do not account for detection error, and lead to conflicting interpretations of population trends.
Lauren C. Scopel +4 more
wiley +1 more source
Automatic lung tumor segmentation on PET/CT images using fuzzy Markov random field model. [PDF]
Guo Y +6 more
europepmc +1 more source
The performance of drones and artificial intelligence for monitoring sage‐grouse at leks
Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew +2 more
wiley +1 more source

