Results 51 to 60 of about 12,032,086 (277)
In this paper we establish uniqueness of the weak solutions of nonlinear stochastic functional differential equations of neutral type in Hilbert spaces.
Z. P. Khaletska +3 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 +3 more
wiley +1 more source
The implementation of Lévy path integral generated by Lévy stochastic process on fractional Schrödinger equation has been investigated in the framework of fractional quantum mechanics.
Chandra Halim, M. Farchani Rosyid
doaj +1 more source
Tangent Processes on Wiener Space
This paper deals with the study of the Malliavin calculus of Euclidean motions on Wiener space, (i.e. transformations induced by general measure preserving transformations, called `rotations', and H-valued shifts) and the associated flows on abstract Wiener ...
Hu, Y., Üstünel, A.S., Zakai, M.
openaire +3 more sources
An integrated pulmonary mRNA delivery platform combining novel biodegradable syringic acid‐derived ionizable lipids, design‐of‐experiments formulation optimization, and vibrating‐mesh nebulizer engineering enabled stable aerosolization and efficient lung delivery.
Neha Kaushal +21 more
wiley +1 more source
A Sequential Bayesian Updated Wiener Process Model for Remaining Useful Life Prediction
Wiener processes have been extensively used to model the degradation processes exhibiting a linear trend for predicting the remaining useful life (RUL) of degrading components.
Tianmei Li +4 more
doaj +1 more source
Unlocking thermomagnetic low‐grade waste heat recovery. This perspective provides a comprehensive roadmap for the development of thermomagnetic materials and systems. By addressing key engineering challenges across multiple scales, it bridges the gap between micro‐power IoT devices and large‐scale industrial applications. ABSTRACT Nearly half of global
A. Waske +13 more
wiley +1 more source
Reliability Analysis of the High-speed Train Bearing Based on Wiener Process
Because of the existence of uncertainty measurement in the process of bearings degradation, it is difficult to carry out the reliability analysis. The random performance degradation model is used to analyze the reliability life of high-speed train ...
Dexin Zhu, Cui Nan
doaj +1 more source
Unexpected Asymmetric Mn‐Sb Site Mixing and Reentrant Spin‐Glass State of MnSb2Te4
MnSb2Te4 is an intrinsic magnetic topological insulator. Its properties are extraordinarily sensitive to tiny defects, making structural studies essential for understanding how magnetism and topology work together. This work shows that Mn can be unevenly distributed within the crystal and how that disorder is linked to a newly reported spin‐glass state
Gustavo Chavez Ponce de Leon +7 more
wiley +1 more source
Since the degradation process of fan slewing bearings is easily influenced by the external environment, it is difficult to estimate its remaining useful life (RUL) accurately.
Mingjun Liu +4 more
doaj +1 more source

