Results 181 to 190 of about 13,595 (306)

Mesoscopic Modeling of Fracture in Heterogeneous Bituminous Polymer Composites: Coupling Random Aggregate Distribution with Bilinear Cohesive Zone Models. [PDF]

Polymers (Basel)
Li W, Gao H, Xie L, Tan Z, Cao P.
europepmc   +1 more source

Resource Availability and Habitat Quality Drive Time‐Lag Effects in High‐Altitude Ungulate Distribution

Integrative Zoology, EarlyView.
Our analysis revealed that while climate strongly influenced species distributions, habitat change drove most observed delays in distribution responses. In terms of community ecology, dispersed communities exhibited shorter time lags than concentrated groups. Analyses of lag duration revealed a 5–6‐year distribution lag effect in high‐altitude ungulate
Lu Wang, Xiuming Li, Ben Huang, Xiaoxue Li, Jizhen Chen, Ziyan Liao, Kun Jin   +6 more
wiley   +1 more source

Exploring novel semi-inner product reproducing Kernels in Banach space for robust Kernel methods. [PDF]

PLoS One
Ding Y, Zhao Y, Pei Y.
europepmc   +1 more source

Adapting to Urban Heights: Multidimensional Gradients Drive Nest‐Selection Plasticity and Trade‐Offs in a Human‐Commensal Sparrow

Integrative Zoology, EarlyView.
Urban Eurasian tree sparrows exhibit pronounced nest‐site plasticity, exploiting vertical building space while preferring lower nest heights when sites are abundant. Nest decisions are driven by altitude and building height rather than other factors, indicating a shift toward anthropogenic resources in cities.
Yang Wang, Guanqun Kou, Fangyuan Liu, Xu Liu, Juyong Li, Jie Wang, Qian Zhang, Yuan Yin, Limin Wang, John C. Wingfield, Fumin Lei, Dongming Li   +11 more
wiley   +1 more source

Wave modelling of 3 + 1 dimensional Wazwaz Kaur Boussinesq equation with the bilinear neural network method. [PDF]

Sci Rep
Shahen NHM, Al Amin M, Uddin MM, Foyjonnesa, Rahman MM.   +4 more
europepmc   +1 more source

Bilinear stochastic processes and time series

In engineering, biology, ecology, medicine, economics and social science, some processes are essentially bilinear, and some could be approximated accurately by bilinear processes under certain conditions.
Tang, Zhigiang
core  

Regularized reduced rank regression for mixed predictor and response variables

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno, Mark de Rooij, Roberta Siciliano   +2 more
wiley   +1 more source

Deep learning-based upsampling of 2D detector array measurements for patient plan verification in radiotherapy. [PDF]

Med Phys
Pflaum A, Brand N, Kempf E, Weidner J, Eulenstein D, Delfs V, Poppe B, Looe HK.   +7 more
europepmc   +1 more source

RotGS: Rotation‐Guided 3D Gaussian Splatting for Turntable Sequences without Structure‐from‐Motion

Computer Graphics Forum, EarlyView.
Abstract The field of 3D reconstruction from multi‐view images has advanced rapidly thanks to 3D Gaussian Splatting (3DGS), which enables efficient and photorealistic scene representation. However, optimizing 3DGS requires high‐quality images from various viewpoints with accurate camera poses.
Kyumin Kim, Dohae Lee, Hanul Baek, In‐Kwon Lee   +3 more
wiley   +1 more source

Data-driven acceleration of mixed-integer bilinear programs: a comparative study for robot motion planning. [PDF]

Front Robot AI
Lin X.
europepmc   +1 more source