Results 171 to 180 of about 15,893 (296)
Biodiversity is threatened by human activities, with extinction debt accumulating rapidly. Many of these activities change the connectivity of populations, fragmenting existing population systems or bringing previously isolated populations or species into contact.
Zhiqin Long +7 more
wiley +1 more source
A structurally localized ensemble Kalman filtering approach
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih +1 more
wiley +1 more source
Phase I Multivariate Coefficient of Variation Control Charts for High‐Dimensional Processes
ABSTRACT Multivariate control charts have traditionally focused on monitoring the process mean vector and/or covariance matrix. Recent studies have extended this framework to Phase II monitoring of the multivariate coefficient of variation (MCV); yet very limited work has examined MCV‐based monitoring in Phase I.
O. A. Oyegoke +2 more
wiley +1 more source
Bayesian Adaptive Eigenspace Inversion
Inverse problem is an essential field of applied mathematics that tackles the question of the reconstruction of some parameters included in a model (PDE) from measures only.
Cheng, Tingwei
core
ABSTRACT This study explores the dynamic influence of income inequality on environmental quality in Malaysia and offers evidence‐based recommendations for climate action and policy. Using annual data from 1990 to 2022, the analysis utilizes the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) framework combined with ...
Masahina Sarabdeen +3 more
wiley +1 more source
Inversion-based Latent Bayesian Optimization
Latent Bayesian optimization (LBO) approaches have successfully adopted Bayesian optimization over a continuous latent space by employing an encoder-decoder architecture to address the challenge of optimization in a high dimensional or discrete input ...
Chu, Jaewon +3 more
core
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Model‐Based Systems Engineering in Space Applications: A Comprehensive Literature Review
ABSTRACT The growing complexity of space engineering is driving the demand to embrace the adoption of Model‐Based Systems Engineering (MBSE). Although the MBSE is well‐practiced in the space industry, the level of effort and need required to obtain the benefits of MBSE vastly differ across enterprises; this disparity presents a significant challenge to
Rehobot Bekele Buruso +4 more
wiley +1 more source
We used drone‐based radiotelemetry and multispectral imagery to estimate detection and survival probabilities of blue‐winged teal broods in Saskatchewan, Canada. Weekly brood survival probabilities, estimated via Cormack‐Jolly‐Seber models, increased with age and were comparable between drone methods.
Grant A. Rhodes +5 more
wiley +1 more source
Global meta‐analysis reveals urban‐associated behavioural differences among wild populations
Urbanization drives rapid phenotypic change, yet broad patterns of behavioural responses remain unclear. Using a global phylogenetic meta‐analysis, we show urban populations exhibit increased boldness, aggression, exploration and activity—especially in birds—highlighting consistent behavioural shifts and revealing major taxonomic gaps that limit our ...
Tracy T. Burkhard +2 more
wiley +1 more source

