Results 101 to 110 of about 55,553 (309)

Fruit Distribution Density Estimation in YOLO-Detected Strawberry Images: A Kernel Density and Nearest Neighbor Analysis Approach

open access: yesAgriculture
Precise information on strawberry fruit distribution is of significant importance for optimizing planting density and formulating harvesting strategies.
Lili Jiang   +3 more
doaj   +1 more source

Kernel Density Estimation on Symmetric Spaces [PDF]

open access: yes, 2015
We introduce a novel kernel density estimator for a large class of symmetric spaces and prove a minimax rate of convergence as fast as the minimax rate on Euclidean space. We prove a minimax rate of convergence proven without any compactness assumptions on the space or Holder-class assumptions on the densities.
openaire   +1 more source

Transformation kernel density estimation of actuarial loss functions [PDF]

open access: yes
A transformation kernel density estimator that is suitable for heavy-tailed distributions is discussed. Using a truncated Beta transformation, the choice of the bandwidth parameter becomes straightforward.
Montserrat Guillen (Universitat de Barcelona)   +2 more
core   +1 more source

Electroacupuncture Improves the Learning and Memory by Modulating Hippocampal Glucose Metabolism through IGF1/IGF1R Signaling in Alzheimer's Disease

open access: yesAdvanced Science, EarlyView.
Electroacupuncture (EA) ameliorates learning and memory function in 5×FAD mice by regulating the brain glucose metabolic network. This neuroprotective effect is closely related to enhancing neuronal energy utilization via the IGF1/IGF1R signaling pathway.
Shengxiang Liang   +12 more
wiley   +1 more source

Canonical Higher-Order Kernels for Density Derivative Estimation [PDF]

open access: yes
In this note we present r th order kernel density derivative estimators using canonical higher-order kernels. These canonical rescalings uncouple the choice of kernel and scale factor. This approach is useful for selection of the order of the kernel in a
Christopher F. Parmeter   +1 more
core  

Cross Kingdom Metabolic Engineering Paradigm Elevating Sustainable Protein Production

open access: yesAdvanced Science, EarlyView.
ABSTRACT Confronting the dual crisis of escalating global protein demand and unsustainable agriculture necessitates transformative solutions. Here, we pioneer evolutionary insights from maize nitrogen optimization via asparagine synthetase (ASNS) to rewire metabolism in Pichia pastoris.
Yuanyuan Du   +4 more
wiley   +1 more source

Asymptotics for the Transformation Kernel Density Estimator

open access: yesThe Annals of Statistics, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hossjer, Ola, Ruppert, David
openaire   +3 more sources

A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation. [PDF]

open access: yes
Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of ...
Robert D. Brooks   +2 more
core  

On Determination Method for Resolution of Secondary Electron Images in Scanning Electron Microscopy

open access: yesAdvanced Science, EarlyView.
An idealized SEM, termed Rayleigh's microscope, is constructed by Monte Carlo simulation to represent imaging conditions that just satisfy the Rayleigh criterion. Based on this physically defined model, sharpness–resolution conversion curves are established and combined with the Rose criterion, enabling automated resolution evaluation from practical ...
Tongfang Yang, Yanbo Zou, Zejun Ding
wiley   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

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