Results 111 to 120 of about 2,468,749 (240)

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin   +2 more
wiley   +1 more source

On the viscosity solutions of a stochastic differential utility problem [PDF]

open access: yes
We prove existence, uniqueness and gradient estimates of stochastic differential utility as a solution of the Cauchy problem for degenerate nonlinear partial differential equation.
Andrea Pascucci, Fabio Antonelli
core  

From patterns to predictions: a framework for the spatial epidemiology of wildlife diseases

open access: yesEcography, EarlyView.
Wildlife diseases pose a significant threat to biodiversity conservation, public health, and livestock. Spatial epidemiology provides a robust framework to understand disease dynamics and guide policy and management. However, the rapid proliferation of spatial methods has largely occurred in isolation across disciplines, leaving the field without a ...
Cesar Herraiz, Pelayo Acevedo
wiley   +1 more source

Stochastic dominance equilibria in two-person noncooperative games [PDF]

open access: yes
Two-person noncooperative games with finitely many pure strategies and ordinal preferences over pure outcomes are considered, in which probability distributions resulting from mixed strategies are evaluated according to t-degree stochastic dominance. A t-
Vermeulen,Dries   +3 more
core  

Generative Models in Inorganic Crystals Discovery and Inverse Design

open access: yesENERGY &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

Explicit Formulas for Repeated Games with Absorbing States [PDF]

open access: yes
Explicit formulas for the asymptotic value and the asymptotic minmax of finite discounted absorbing games are provided. New simple proofs for the existence of the limits when the players are more and more patient (i.e. when the discount factor goes zero)
Rida Laraki
core  

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia 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

A User''s Guide to Solving Dynamic Stochastic Games Using the Homotopy Method [PDF]

open access: yes
This paper provides a step-by-step guide to solving dynamic stochastic games using the homotopy method. The homotopy method facilitates exploring the equilibrium correspondence in a systematic fashion; it is especially useful in games that have multiple ...
Ron N. Borkovsky   +2 more
core  

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

open access: yesFood Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob   +4 more
wiley   +1 more source

On the Adjoint Markov Policies in Stochastic Differential Games

open access: yesCommunications 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

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