Results 201 to 210 of about 2,370 (264)

Optimization of the cut configuration for skin grafts. [PDF]

Biomech Model Mechanobiol
Harbrecht H, Karnaev V.
europepmc   +1 more source

Idiographic interrater reliability measures for intensive longitudinal multirater data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Interrater reliability plays a crucial role in various areas of psychology. In this article, we propose a multilevel latent time series model for intensive longitudinal data with structurally different raters (e.g., self‐reports and partner reports).
Tobias Koch, Miriam F. Jaehne, Michaela Riediger, Antje Rauers, Jana Holtmann   +4 more
wiley   +1 more source

HydroAir: An Air-Propelled Surface Vehicle for Autonomous Navigation and 3D Reconstruction in Shallow and Obstacle-Rich Aquatic Environments. [PDF]

Sensors (Basel)
Honório LM, Vidal VF, Biundini IZ, Machado RA, Fernandes F, Santos MFD.   +5 more
europepmc   +1 more source

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley   +1 more source

A Unified Complex-Fresnel Model for Physically Based Long-Wave Infrared Imaging and Simulation. [PDF]

J Imaging
Ter Heerdt P, Keustermans W, De Boi I, Vanlanduit S.   +3 more
europepmc   +1 more source

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

Bio-Inspired Metaheuristics for Time-Optimal Trajectory Planning in Cooperative Dual-Arm Bimanipulation. [PDF]

Biomimetics (Basel)
Peñacoba-Yagüe M, Sierra-García JE, Santos-Peñas M.   +2 more
europepmc   +1 more source

Establishing Shape Correspondences: A Survey

Computer Graphics Forum, EarlyView.
Abstract Shape correspondence between surfaces in 3D is a central problem in geometry processing, concerned with establishing meaningful relations between surfaces. While all correspondence problems share this goal, specific formulations can differ significantly: Downstream applications require certain properties that correspondences must satisfy ...
A. Heuschling, H. Meinhold, L. Kobbelt
wiley   +1 more source

Closed-Set Heterogeneous Domain Adaptation for IoT Intrusion Detection: An Anchor-Based Benchmark Across Single- and Multi-Source Transfer. [PDF]

Sensors (Basel)
Chizari M, Khan Ali Mirza Q, Alam A, Chizari H.   +3 more
europepmc   +1 more source

Mixed Super‐Circles

Computer Graphics Forum, EarlyView.
Abstract We introduce mixed super‐circles, a position‐curvature formulation of the original dynamic 2D super‐helix model. Compared to the latter, purely curvature‐based model – the so‐called chained formulation –, the mixed formulation that we propose here drastically reduces the algorithmic complexity of the solving scheme – from quadratic to quasi ...
Emile Hohnadel, Thibaut Métivet, Florence Bertails‐Descoubes   +2 more
wiley   +1 more source