Results 41 to 50 of about 98,478 (267)
Integrated photonic quantum circuits (IPQCs) have attracted increasing attention in recent years due to their widespread applications in quantum information science.
Xu-Dong Wang +5 more
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Interstitial lung disease (IRD‐ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRD). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the non‐invasive assessment of ILD; however, its interpretation is constrained by substantial inter‐observer variability and ...
Alexander Pfeil +7 more
wiley +1 more source
Application of deterministic and geostatistical interpolation methods for Earth surface modeling
Threedimensional modeling of Earth’s surface using data on geodetic and photogrammetric measurements and applying linear, inverse distance weighted and Kriging interpolation methods is analyzed.
Viktor Nareiko +2 more
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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
The Tesla field is located in the South Sumatra Basin, where there is the Air Benakat Formation, with the constituent rocks being dominated by alternating sandstone and claystone so that it is a shaly sand environment with the potential to become a low ...
Sudarmaji Saroji +2 more
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Equations Related to Stochastic Processes: Semigroup Approach and Fourier Transform
The work is devoted to integro-differential equations related to stochastic processes. We study the relationship between differential equations with random perturbations - stochastic differential equations (SDEs) - and deterministic equations for the ...
I. V. Melnikova +2 more
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A Review of Deterministic Optimization Methods in Engineering and Management [PDF]
With the increasing reliance on modeling optimization problems in practical applications, a number of theoretical and algorithmic contributions of optimization have been proposed. The approaches developed for treating optimization problems can be classified into deterministic and heuristic.
Lin, Ming-Hua +2 more
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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
On the issue of forecasting in a present day company management
Present day business entities are developing in dynamic environment which is characterised by a high degree of uncertainty. As a consequence, top management of an enterprise is interested in reducing the degree of uncertainty and risks, which is achieved
doaj
In this paper, we discuss iterative and noniterative splitting methods, in theory and application, to solve stochastic Burgers’ equations in an inviscid form.
Jürgen Geiser
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