Results 121 to 130 of about 167,396 (260)
In the gravity method, information about mass density value is very important because it will influence the characteristic of the 1-D gravity acceleration graph.
Indriati Retno Palupi, Wiji Raharjo
doaj +1 more source
Filtering---estimating the state of a partially observable Markov process from a sequence of observations---is one of the most widely studied problems in control theory, AI, and computational statistics. Exact computation of the posterior distribution is generally intractable for large discrete systems and for nonlinear continuous systems, so a good ...
Marthi, Bhaskara +3 more
openaire +2 more sources
Predation by pine martens Martes martes and red foxes Vulpes vulpes is an important factor influencing the population dynamics of capercaillie Tetrao urogallus. However, there is a knowledge gap regarding the relative effects of these mesopredators on the reproductive success of capercaillie. To better understand how various landscape factors influence
Siow Yan Jennifer Angoh +4 more
wiley +1 more source
Markov Chain Monte Carlo (MCMC) sampling methods are widely used but often encounter either slow convergence or biased sampling when applied to multimodal high dimensional distributions. In this paper, we present a general framework of improving classical MCMC samplers by employing a global optimization method.
Fok, Ricky, An, Aijun, Wang, Xiaogang
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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
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
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
JaxSGMC: Modular stochastic gradient MCMC in JAX
We present JaxSGMC, an application-agnostic library for stochastic gradient Markov chain Monte Carlo (SG-MCMC) in JAX. SG-MCMC schemes are uncertainty quantification (UQ) methods that scale to large datasets and high-dimensional models, enabling ...
Stephan Thaler +3 more
doaj +1 more source
Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund +3 more
wiley +1 more source
Design considerations for breeding waterfowl surveys
This study evaluated how different survey designs affect the accuracy and precision of breeding waterfowl population estimates in Iowa's Prairie Pothole Region. Using aerial survey data from 2016–2018, we found that conducting at least 2 visits per season reduced bias in pair estimates, particularly for wood ducks and blue‐winged teal, while mallard ...
Tyler M. Harms +2 more
wiley +1 more source

