Results 91 to 100 of about 667,125 (317)

Kinect posture reconstruction based on a local mixture of Gaussian process models

, 2016
Depth sensor based 3D human motion estimation hardware such as Kinect has made interactive applications more popular recently. However, it is still challenging to accurately recognize postures from a single depth camera due to the inherently noisy data ...
Shum, Hubert P.H., Shum, Hubert P. H., Leung, Howard, Liu, Zhiguang, Zhou, Liuyang   +4 more
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Characterization of Gaussian operations and distillation of Gaussian states [PDF]

Physical Review A, 2002
8 pages, revtex4; v4: published version; v3: more details on V(gamma), some typos corrected, formulations ...
Giedke, G., Cirac, J.
openaire   +3 more sources

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Mosque As the Center of Economic Empowerment of the Millennial Generation in Garut Regency

Indonesian Journal of Islamic Economics and Finance
Mosques are the most important facilities for Muslims. There needs to be efforts by mosque administrators to make mosques the center of Muslim civilization, especially in efforts to empower the millennial generation.
Enceng Iip Syaripudin, Raito Raito, Siti Aliyah, Gini Gaussian, Sasa Sunarsa   +4 more
doaj   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Gaussian elimination [PDF]

WIREs Computational Statistics, 2011
AbstractAs the standard method for solving systems of linear equations, Gaussian elimination (GE) is one of the most important and ubiquitous numerical algorithms. However, its successful use relies on understanding its numerical stability properties and how to organize its computations for efficient execution on modern computers.
openaire   +3 more sources

Gaussian Process priors with uncertain inputs? Application to multiple-step ahead time series forecasting [PDF]

, 2003
We consider the problem of multi-step ahead prediction in time series analysis using the non-parametric Gaussian process model. k-step ahead forecasting of a discrete-time non-linear dynamic system can be performed by doing repeated one-step ahead ...
Quiñonero Candela, J, Rasmussen, C., ,, Murray-Smith, Roderick, Rasmussen, C.E., Quinonero-Candela, J., Rasmussen, Carl Edward, Quiñonero-Candela, Joaquin, Girard, A., Rasmussen, CE, Murray-Smith, R., Girard, A, Girard, Agathe, Murray Smith, R   +13 more
core  

Near‐Field Electrospinning Micro‐Printhead Achieves Precise Control of Nanofiber Deposition

Advanced Engineering Materials, EarlyView.
A micro‐printhead for near‐field electrospinning enables reproducible deposition of polymer nanofibers with diameters below 50 nm. Systematic parameter studies uncover the mechanisms linking operating conditions to fiber morphology, paving the way for precise and low‐cost nanoscale 3D manufacturing.As a high‐resolution, cost‐effective, and rapid ...
Han Xu, Dario Mager, Jan G. Korvink
wiley   +1 more source