Results 161 to 170 of about 22,384 (303)
Template Based Inference in Symmetric Relational Markov Random Fields [PDF]
, 2008 Relational Markov Random Fields are a ...
Ariel Jaimovich, et al.
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Land Degradation &Development, EarlyView.ABSTRACT Coal remains a major global energy source despite ongoing environmental controversies, particularly, regarding climate change and landscape transformation. This study investigates the spatiotemporal dynamics of land use and land cover (LULC) in the Moatize Coal Basin (MCB), Mozambique, between 1990 and 2024, with a specific focus on land ...
Ivan Latinho Naite +2 more
wiley +1 more source
Forest Landscape Changes and Ecological Restoration for Sustainable Land Systems
Land Degradation &Development, EarlyView.ABSTRACT This study investigates forest landscape changes and ecological restoration in Sichuan Province, China, to assess their contribution to sustainable land systems under climate stress. A theory‐guided multistage framework was applied to link Landsat‐based change detection, landscape metrics, habitat quality assessment, soil‐retention analysis ...
Tianzhai Li, Yinan Li
wiley +1 more source
Limnology and Oceanography: Methods, EarlyView.Abstract Tailwaters are ubiquitous and highly managed ecosystems whose food webs often rely disproportionately on autochthonous energy. In situ continuous dissolved oxygen data are increasingly being used to estimate gross primary productivity and ecosystem respiration in rivers, but this approach is complicated in tailwaters, where upriver ...
Ian W. Bishop +5 more
wiley +1 more source
Predicting Statistical Signatures of Collective Emission in Disordered Color Center Ensembles
Laser &Photonics Reviews, EarlyView.We present an efficient simulation framework for modeling collective emission in disordered ensembles of quantum emitters. The low computational complexity enables large‐scale Monte Carlo simulations. Applied to SiV−${\rm SiV}^{-}$ clusters, it predicts thresholded superradiant bursts set by emitter number and quantum efficiency, as well as interaction‐
Qingyi Zhou +4 more
wiley +1 more source
Learning Partially Observed Markov Random Fields from Noisy Image Data [PDF]
, 2009 We present an algorithm for learning parameters of a Markov random field. The parameters shall be learned from data that does not include a ground truth. Therefore, the usual maximum likelihood approach is not applicable.
Deckert, Florian
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Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. [PDF]
Uncertain Artif Intell, 2018 Geng S +4 more
europepmc +1 more source
Evaluation of fall‐seeded cover crops for grassland nesting waterfowl in eastern South Dakota
Wildlife Society Bulletin, EarlyView., 2023 Cover crops are experiencing a revival among Midwestern farmers, and we assessed their attractiveness and safety for nesting ducks in South Dakota. Nest success was markedly lower in cover crops than in perennial cover during both years of our study, including 2019 which was a best‐case scenario for cover crops, with extremely wet conditions delaying ...
Charles W. Gallman +3 more
wiley +1 more source