Results 51 to 60 of about 83,645 (264)
Winter Holts Oscillatory Method: A New Method of Resampling in Time Series. [PDF]
The core proposition behind this research is to create innovative methods of bootstrapping that can be applied in time series data. In order to find new methods of bootstrapping, various methods were reviewed; The data of automotive Sales, Market Shares ...
Muhammad Imtiaz Subhani +1 more
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
OpenSeismoMatlab: New Features, Verification and Charting Future Endeavors
To facilitate the precise design of earthquake-resistant structures, it is imperative to accurately evaluate the impact of seismic events on these constructions and predict their responses.
George Papazafeiropoulos +1 more
doaj +1 more source
Injury risk curves (IRCs) represent the quantification of risk of adverse outcomes, such as a bone fracture, quantified by a biomechanical metric such as force or deflection.
Anjishnu Banerjee +4 more
doaj +1 more source
Determination of transfer function in large area system with remote independent signal observations [PDF]
[b]Abstract[/b]. On the example of the simulated, large area power grid, the methods for the transfer function determination between distanced excitation/observation points have been proposed and verified.
Piotr Figoń, Zbigniew Staroszczyk
doaj +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
Geometry‐driven design of soft cellular metamaterials is systematically investigated by combining experiments, finite element modeling, and statistical prediction. The study quantifies how unit cell geometry and material properties govern stiffness, instability, densification, and energy absorption.
Alice Berardo +4 more
wiley +1 more source
Stability of Medicinal Nanoemulsions to Spaceflight: Insights From the StarMed Experiment
Chitosan‐coated melatonin nanoemulsions (MN) recovered from a sounding rocket mission preserve droplet size and controlled‐release behavior, whereas uncoated nanoemulsions show ageing‐driven droplet growth and increased accessible drug fraction. Simple polymer coatings thus enhance the flight resilience of liquid space medicines under cumulative launch
Modupe Adebowale +4 more
wiley +1 more source
In Situ Amine Formation to Modulate MOF‐Derived PdIn N‐Doped Carbon Catalysts
An amine‐assisted approach converts PdIn‐MOF into PdIn intermetallic nanoparticles embedded in N‐doped carbon. In situ‐generated amines trigger early Pd nucleation, producing smaller PdIn domains than direct pyrolysis. Amine sterics and basicity tune composition and particle size, while solvent and amine co‐determine textural features.
Gonzalo Egea +9 more
wiley +1 more source
Point Cloud Registration for Lava Tube Surface Reconstruction Using Curvature-Optimized Projection
The surface reconstruction of point clouds is a key technology in lunar exploration. The generation of high-precision three-dimensional models of lunar lava tubes via surface reconstruction provides technical support for subsequent exploration.
Jiaqi Yao +7 more
doaj +1 more source

