A Real‐Time Multi‐Scale Neural Representation for Complex Surface Reflectance
Abstract Recent machine learning methods have significantly advanced the state of the art in the classic problem of representing surface appearance over angle, space, and scale. The models tend, however, to be relatively heavy compared to traditional fixed‐function representations, making real‐time application challenging.
Heikki Timonen +2 more
wiley +1 more source
The quark jet function for k T -like variables in NNLO QCD. [PDF]
Buonocore L +4 more
europepmc +1 more source
Abstract While semi‐analytical boundary handling techniques have proven effective for modeling particle‐based fluid‐solid interactions, they can become unstable when applied to mesh boundaries undergoing dynamic motion or featuring complex, sharp geometries.
Junyuan Liu +5 more
wiley +1 more source
Image quality assessment of photon-counting CT for patients with prostate cancer receiving radiotherapy. [PDF]
Henneberg CV +12 more
europepmc +1 more source
Fast Injective Mesh Parameterization via Beltrami Coefficient Prolongation
Abstract We present a highly efficient and robust method for free boundary injective parameterization of disk‐like triangle meshes with low isometric distortion. Harmonic function–based approaches, grounded in a strong mathematical framework, are widely employed.
G. Fargion, O. Weber
wiley +1 more source
Bioprospecting Microbial Consortia for Tebuthiuron Degradation in Agricultural Soils: An Alternative Bayesian-Driven Colorimetric Protocol. [PDF]
Jorososki LB +4 more
europepmc +1 more source
Habitat fragmentation and climate change jointly threaten the persistence of wide‐ranging species, posing complex challenges for conservation planning. However, most current connectivity approaches overlook the integration of species‐specific constraints, climate‐driven dynamics, and quantitative robustness assessments. To bridge this gap, we propose a
Mengdi Fu +3 more
wiley +1 more source
Corrosion fatigue life prediction of multiple austenitic stainless steel grades in high-temperature, high-pressure water environments using a GA-optimized neural network. [PDF]
Bhardwaj HK, Shukla M.
europepmc +1 more source
Political Partisanship and State‐Level Bank Efficiency
ABSTRACT We examine the relationship between political partisanship and commercial bank efficiency in the United States from 1972 to 2020, assessing the persistent influence of political affiliations at the state and District of Columbia levels. Bank efficiency scores are estimated using a double‐bootstrap approach, and the analysis is conducted within
Jeremy Eng‐Tuck Cheah +3 more
wiley +1 more source
DrSVision: A Machine Learning Tool for Cortical Region-Specific fNIRS Calibration Based on Cadaveric Head MRI. [PDF]
Yöner SI +5 more
europepmc +1 more source

