Results 41 to 50 of about 17,240 (299)
Advanced Engineering Materials, EarlyView.Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies +2 more
wiley +1 more source
Parameter inference from event ensembles and the top-quark mass
Journal of High Energy Physics, 2021 One of the key tasks of any particle collider is measurement. In practice, this is often done by fitting data to a simulation, which depends on many parameters.
Forrest Flesher +4 more
doaj +1 more source
Quantifying nuisance parameter effects via decompositions of asymptotic refinements for likelihood-based statistics [PDF]
, 2015 Accurate inference on a scalar interest parameter in the presence of a nuisance parameter may be obtained using an adjusted version of the signed root likelihood ratio statistic, in particular Barndorff-Nielsen’s R∗ statistic. The adjustment made by this
DiCiccio, TJ, Kuffner, TA, Young, GA
core +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Parameter of interest and nuisance parameter for the different types of data.
, 2015 Parameter of interest and nuisance parameter for the different types of data.
Elsa Tavernier (769757) +1 more
core +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Contributors are a nuisance (parameter) for DNA mixture evidence evaluation [PDF]
, 2018 Recently, a debate has arisen around the number of contributors postulated in hypotheses for the purpose of weight of evidence calculations on DNA mixture profiles.
K. Slooten +3 more
core +1 more source
Personalized Network‐Guided Neuromodulation Enhances Human Working Memory
Advanced Science, EarlyView.A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan +13 more
wiley +1 more source
Bayesian Classification of Multivariate Autoregressive Sources with Unknown Order. [PDF]
The Egyptian Statistical Journal, 1997 The objective of this paper is to present a Bayesian classification technique that can be used to classify a multivariate time series realization into one of several multivariate autoregressive sources.
Samir Shaarawy +2 more
doaj +1 more source
Advanced Science, EarlyView.Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang +14 more
wiley +1 more source