Results 51 to 60 of about 6,349,849 (305)

Non-linear forecasting of the state of a socio-eco-oriented innovative economy in the conditions of systemic crises [PDF]

SHS Web of Conferences, 2019
The paper deals with the problem of sustainable development and innovative integral modeling and forecasting approach in the management of technogenic objects and processes (TOP) as a system of socio-eco-economic and humanitarian type (SEEH).
Ramazanov Sultan, Chernyak Oleksandr, Tishkov Bogdan, Ahmedov Renat, Honcharenko Oleksandr   +4 more
doaj   +1 more source

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, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Multiscale Stochastic Models for Bitcoin: Fractional Brownian Motion and Duration-Based Approaches

FinTech
This study introduces and evaluates stochastic models to describe Bitcoin price dynamics at different time scales, using daily data from January 2019 to December 2024 and intraday data from 20 January 2025.
Arthur Rodrigues Pereira de Carvalho, Felipe Quintino, Helton Saulo, Luan C. S. M. Ozelim, Tiago A. da Fonseca, Pushpa N. Rathie   +5 more
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, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Reliability and performance evaluation of retrial repairable systems with an unreliable repairer using the GSPN model

Croatian Operational Research Review
Generalized Stochastic Petri Nets ($GSPNs$) are widely used in reliability analysis to model and optimize the dependability of complex systems, enabling assessments of availability, failure probabilities, and repair processes through stochastic timing ...
Kheireddine Boudehane, Samira Taleb
doaj   +1 more source

Potential of Entropic Force in Markov Systems with Nonequilibrium Steady State, Generalized Gibbs Function and Criticality

Entropy, 2016
In this paper, we revisit the notion of the “minus logarithm of stationary probability” as a generalized potential in nonequilibrium systems and attempt to illustrate its central role in an axiomatic approach to stochastic nonequilibrium thermodynamics ...
Lowell F. Thompson, Hong Qian
doaj   +1 more source

Construction of special soliton solutions to the stochastic Riccati equation

Open Mathematics, 2022
A scheme for the analytical stochastization of ordinary differential equations (ODEs) is presented in this article. Using Itô calculus, an ODE is transformed into a stochastic differential equation (SDE) in such a way that the analytical solutions of the
Navickas Zenonas, Timofejeva Inga, Telksnys Tadas, Marcinkevicius Romas, Ragulskis Minvydas   +4 more
doaj   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

Donsker’s Delta Functional of Stochastic Processes with Memory

Journal of Mathematical and Fundamental Sciences, 2019
A class of stochastic processes with memory within the framework of the Hida calculus was studied. It was proved that the Donsker delta functionals of the processes are Hida distributions.
Herry Pribawanto Suryawan
doaj   +1 more source

Some Nonlinear Stochastic Cauchy Problems with Generalized Stochastic Processes [PDF]

International Journal of Analysis, 2016
We study some nonlinear stochastic Cauchy problems in the framework of the (C,E,P)-algebras. We adapt the definitions to this framework. By means of suitable regularizations, we define associated generalized problems. We use our previous results about the wave equation in canonical form to obtain generalized solutions.
openaire   +1 more source