Results 221 to 230 of about 531,686 (291)
To flee or wait and see? Response of incubating white-browed scrubwrens to information about danger. [PDF]
Zhou Y, Radford AN, Magrath RD.
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
The Effect of Competition Between Two Swan Species: Nesting Site Selection and Reproductive Success. [PDF]
Szewczuk W +2 more
europepmc +1 more source
A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley +1 more source
Longitudinal Melanonychia in Children: Clinical and Histopathologic Features and Management with Literature Update. [PDF]
Moulonguet I, Caucanas M, Goettmann S.
europepmc +1 more source
Approximately Normal Tests for Equal Predictive Accuracy in Nested Models
Todd E. Clark, Ken West
semanticscholar +1 more source
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
Automated Detection and Monitoring of Ground-Nesting Bee Nests Using Drone Imagery and Deep Learning. [PDF]
Tschanz P +5 more
europepmc +1 more source
Bird monitoring in the New Forest: a review of current and ongoing schemes [PDF]
Conway, G., Newton, Adrian, Wotton, S.
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