Results 121 to 130 of about 6,450 (280)
Penalized spline estimation in the partially linear model
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LeafFit: Plant Assets Creation from 3D Gaussian Splatting
Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
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Quantitative Metrics for Edge Bundling of Network Visualizations
Abstract Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a set of quantitative metrics
M. Wallinger +3 more
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An algorithm for locally adaptive bivariate penalized splines
This paper introduces a penalized spline model for bivariate smoothing that locally adjusts to gridded data set affected by noise varying across different areas of the domain. As for all penalized spline methods, the approach requires the definition of suitable penalty terms and the selection of the regularization parameters.
Calabrese, Paola Erminia +2 more
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Abstract Monitoring wildlife health is essential for conservation and management, wildlife and livestock welfare, and public health in a One Health framework. Yet, wildlife health monitoring often requires long‐term fieldwork and intensive sampling, which can be costly or logistically challenging, especially for remote, rare, or elusive populations. To
Jonathan Tichon +8 more
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ABSTRACT Background Cardiovascular–kidney–metabolic (CKM) syndrome reflects complex pathobiological interactions among metabolic disorders, kidney injury, and cardiovascular disease (CVD). Stages 2 and 3 represent critical phases of disease progression characterised by high pathological heterogeneity.
Xuefei Han +4 more
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Semiparametric Estimation of Stochastic Frontiers A Bayesian Penalized Approach [PDF]
Almost all previous approaches to estimating semiparametric frontier models, where the functional form for the production (cost) function is unknown, have been local nonparametric (ie. kernel) approaches. In this paper we use a penalized (ie.
Gholamreza Hajargasht
core
: Bi-response longitudinal data is assumed to have a correlation between responses and observations on the same subject. This causes a correlation between errors. To overcome this problem, we can use a penalized spline model that involves weighting.
Anna Islamiyati
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Abstract The long‐term and frequent sampling of groundwater monitoring networks is common practice for monitoring the concentrations of constituents of potential concern (CoPC) over space and time. Sampling can be a costly and time‐intensive process that also incurs health and safety risks. A redundancy‐based ranking of candidate sampling locations can
Peter Radvanyi +5 more
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Consensus habitat‐suitability maps identify current hotspots of species richness across the Inner Western Anatolian mountain systems. Late‐century projections (2081–2100) under SSP2‐4.5 and SSP5‐8.5 show range shifts and changing richness patterns, intensifying at higher elevations.
Muhammed Arif Demir, Mahmut Kabalak
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