Results 51 to 60 of about 3,335 (259)
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
Advanced Engineering Materials, EarlyView.A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Mathematics, 2022 The stability analysis of the numerical solutions of stochastic models has gained great interest, but there is not much research about the stability of stochastic pantograph differential equations.
Amr Abou-Senna, Boping Tian
doaj +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Mathematics, 2021 In this paper, we mainly investigate the weak convergence analysis about the error terms which are determined by the discretization for solving the stochastic differential equation (SDE, for short) in forward-backward stochastic differential equations ...
Wei Zhang, Hui Min
doaj +1 more source
Backward doubly stochastic differential equations with jumps and stochastic partial differential-integral equations [PDF]
Chinese Annals of Mathematics, Series B, 2012 19 ...
Zhu, Qingfeng, Shi, Yufeng
openaire +2 more sources
Multilayer Self‐Limiting Electrospray Deposition via Stepped Voltage Bias
Advanced Engineering Materials, EarlyView.Self‐limiting electrospray deposition (SLED) uses a high voltage to generate and deposit a charged payload on a target surface. The coating retains its charge, repelling newly arriving material. SLED thickness can be decreased by applying a secondary bias to the target.
Madhuri Deb +3 more
wiley +1 more source
Multistep schemes for solving backward stochastic differential equations on GPU
Journal of Mathematics in Industry, 2022 The Backward Stochastic Differential Equation (BSDE) is an important tool for pricing and hedging. Highly accurate pricing for low computation time becomes interesting for minimizing monetary loss.
Lorenc Kapllani, Long Teng
doaj +1 more source
Advanced Functional Materials, EarlyView.An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Stochastic C-Stability and B-Consistent of Projective Backward Euler-Maruyama Methods
Journal of Harbin University of Science and TechnologyIn some practical research scenarios, the development of related research work can rely solely on numerical solutions, and the analytical solutions of a large number of stochastic differential equations cannot be directly obtained.
ZHANG Zhiyang, ZHANG Hangyu, BI Hui
doaj +1 more source
A Stackelberg Game of Backward Stochastic Differential Equations with Applications [PDF]
Dynamic Games and Applications, 2019 This paper is concerned with a Stackelberg game of backward stochastic differential equations (BSDEs), where the coefficients of the backward system and the cost functionals are deterministic, and the control domain is convex. Necessary and sufficient conditions of the optimality for the follower and the leader are first given for the general problem ...
Yueyang Zheng, Jingtao Shi
openaire +2 more sources