Results 121 to 130 of about 2,781,065 (282)
Journal of Industrial Engineering and ManagementPurpose: The change in recovery rate is dynamic, while the front and back states are related and evolve continuously until reach a steady state. This paper studies the dynamic balancing strategies of members of a closed-loop supply chain system (CLSC ...
Jianying Sun
doaj +1 more source
On the Adjoint Markov Policies in Stochastic Differential Games
Communications on Stochastic Analysis, 2019 We consider time-homogeneous uniformly nondegenerate stochastic differential games in domains and propose constructing $\varepsilon$-optimal strategies and policies by using adjoint Markov strategies and adjoint Markov policies which are actually time-homogeneous Markov, however, relative not to the original process but to a couple of processes ...
openaire +3 more sources
Markov Perfect Nash Equilibrium in stochastic differential games as solution of a generalized Euler Equations System [PDF]
This paper gives a new method to characterize Markov Perfect Nash Equilibrium in stochastic differential games by means of a set of Generalized Euler Equations.
Ricardo Josa-Fombellida +1 more
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Generative Models in Inorganic Crystals Discovery and Inverse Design
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source
Motivation to Run in One-Day Cricket
MathematicsThis paper presents a novel approach to identify an optimal coefficient for evaluating a player’s batting average, strike rate, and bowling average, aimed at achieving an optimal team score through dynamic modeling using a path integral method ...
Paramahansa Pramanik, Alan M. Polansky
doaj +1 more source
Stochastic Stability in the Best Shot Game [PDF]
The best shot game applied to networks is a discrete model of many processes of contribution to local public goods. It has generally a wide multiplicity of equilibria that we refine through stochastic stability.
Paolo Pin, Leonardo Boncinelli
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AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
MathematicsThis paper describes a kind of linear quadratic uncertain stochastic hybrid differential game system grounded in the framework of subadditive measures, in which the system dynamics are described by a hybrid differential equation with Wiener–Liu noise and
Zhifu Jia, Cunlin Li
doaj +1 more source
From Physiology to Bioheat Simulation: A Data‐Driven Framework for Core Temperature Initialization
Heat Transfer, EarlyView.ABSTRACT Accurate initialization of core body temperature is a critical yet often overlooked component of bioheat transfer models, particularly when such models are applied to heterogeneous populations and real‐world environmental conditions. Conventional bioheat simulations typically rely on fixed or idealized core body temperature values derived from
David S. Rodríguez +6 more
wiley +1 more source
Deterministic Approximation of Stochastic Evolution in Games [PDF]
This paper provides deterministic approximation results for stochastic processes that arise when finite populations recurrently play finite games.
Benaim, Michel, Weibull, Jörgen W.
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