Results 281 to 290 of about 1,749,199 (384)
A minimal physiological model of perceptual suppression and breakthrough in visual rivalry. [PDF]
Whyte CJ, Wilson HR, Shine JM, Alais D.
europepmc +1 more source
Tennisology: Inside the Science of Serves, Nerves, and On-Court Dominance
Thomas Rowland
openalex +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Dominance of the Southern Ocean in Anthropogenic Carbon and Heat Uptake in CMIP5 Models
T. Frölicher +5 more
semanticscholar +1 more source
This study explores the mechanical performance of three auxetic structures, identifying a re‐entrant‐star hybrid as the most effective for impact absorption. Finite element simulations and experiments demonstrate significant gains in energy absorption and flexural strength after geometric optimization. This study investigates the mechanical performance
Malik Hassan +4 more
wiley +1 more source
Application of artificial intelligence CNN model in emotional recognition of instrumental music. [PDF]
Liu Y.
europepmc +1 more source
The study of cue dominance in impression formation
YASUNAO OHTSUBO, Toshio Yoshida
openalex +2 more sources
Dynamic Precipitation during High‐Pressure Torsion of a Magnesium–Manganese Alloy
An ultrafine‐grained alloy is produced by high‐pressure torsion of solutionized Mg–1.35 wt% Mn. Precipitation of nanometer‐scale Mn particles during deformation provides pinning sites. This prevents the formation of a bimodal grain structure and results in a finer grain size than for pure Mg.
Julian M. Rosalie, Anton Hohenwarter
wiley +1 more source
Genomic prediction of feed efficiency in boars by deep learning. [PDF]
Onabanjo O +5 more
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

