Results 51 to 60 of about 5,741 (199)

How effective are entomopathogenic nematodes for vine weevil (Coleoptera: Curculionidae) biological control? A meta‐analysis

open access: yesPest Management Science, EarlyView.
Entomopathogenic nematodes provide reliable biological control of vine weevil larvae, reducing populations by 63% on average. All five tested species are effective, with temperature (18–30 °C) being the strongest predictor of success. Abstract BACKGROUND Vine weevil (Otiorhynchus sulcatus) is a globally important pest of soft fruit and ornamental crops
Joe M. Roberts   +5 more
wiley   +1 more source

Tourist sightings improve the precision of camera trap‐derived density estimates using spatial capture‐recapture models

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
In this study, we combine tourist‐contributed images with camera trap‐based monitoring data to estimate leopard (Panthera pardus) population densities using multi‐session spatial capture–recapture models. We show that incorporating tourist observations improves precision and yields an overall density estimate of 7.02 leopards per 100 km2, while ...
Rachael S. Leeman   +6 more
wiley   +1 more source

Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We tested the effect of using a readily available deep learning algorithm for animal species classification on the population density estimates of eight wild mammal species in 10 protected areas (Da). In general, there were no significant differences to the manual estimates (Dm) for all animal species and seasons.
Maik Henrich   +15 more
wiley   +1 more source

Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray Denoising

open access: yes, 2018
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811 ...
Shamshad, Fahad   +5 more
openaire   +2 more sources

Sparse image reconstruction for molecular imaging

open access: yes, 2008
The application that motivates this paper is molecular imaging at the atomic level. When discretized at sub-atomic distances, the volume is inherently sparse.
Hero III, Alfred O.   +2 more
core   +1 more source

Change Point Estimation of Bilevel Functions [PDF]

open access: yes, 2005
Reconstruction of a bilevel function such as a bar code signal in a partially blind deconvolution problem is an important task in industrial processes.
Qu, Leming, Tu, Yi-Cheng
core   +3 more sources

Economic Growth and Sustainable Development: The Role of Financial Inclusion, FinTech, Eco‐Innovation, and Economic Complexity

open access: yesSustainable Development, EarlyView.
ABSTRACT The study examines the nonlinear relationships between sustainable and financial development metrics, including eco‐innovation, process eco‐innovation, financial development, financial inclusion, FinTech, economic complexity, and economic growth, across eight developing countries from 2000 to 2023.
Xing Zhao   +5 more
wiley   +1 more source

Psychological Resilience to Climate Change: The Role of Self‐Efficacy, Mindfulness, Perceived Nature Restorativeness, and Subjective Well‐Being

open access: yesSustainable Development, EarlyView.
ABSTRACT The current study presents a causal model of climate‐induced psychological resilience by assessing the impact of dispositional mindfulness, self‐efficacy beliefs, and perceived restorativeness of nature. It further examines the associations among climate change coping strategies, subjective well‐being components, eco‐emotions, and resilience ...
Anastasia Gkargkavouzi, George E. Halkos
wiley   +1 more source

Multiple Parameters Determination for Image and Video Reconstruction Using Genetic Algorithm and Generalized Stein’s Unbiased Risk Estimation [PDF]

open access: yesIEEE Access, 2019
This paper proposes a heuristic multi-parameter optimization method for image and video reconstruction. The method is embedded in an evolutionary computation framework in which a set of parameters are encoded into chromosomes of an individual, and a generalized Stein’s unbiased risk estimation (GSURE) is employed as a fitness function.
Zhi Dou, Lin Sun, Weiping Ding
openaire   +1 more source

Distributed multi-agent Gaussian regression via finite-dimensional approximations

open access: yes, 2018
We consider the problem of distributedly estimating Gaussian processes in multi-agent frameworks. Each agent collects few measurements and aims to collaboratively reconstruct a common estimate based on all data.
Pillonetto, Gianluigi   +2 more
core   +1 more source

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