Results 111 to 120 of about 3,129 (263)

Motivation to Run in One-Day Cricket

Mathematics
This 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

Current Trends and Future Research in Management Control for Sustainability in Retail

Business Strategy and the Environment, EarlyView.
ABSTRACT The growing emphasis on sustainability in the retail sector, driven by regulatory frameworks, market trends and consumer demand, has placed management control at the forefront of facilitating sustainability practices. Despite increasing academic interest in this area, the literature is fragmented and provides limited sector‐specific insight ...
Miguel Gil, Mart Ots, Timur Uman
wiley   +1 more source

Dynamic evolutionary analysis of opinion leaders’ and netizens’ uncertain information dissemination behavior considering random interference

Frontiers in Physics
This paper investigates the decision-making behaviors of opinion leaders and netizens in the context of uncertain information dissemination with the aim of effectively managing online public opinion crises triggered by major sudden events.
Lin Ma, Bowen Li, Junyao Wang
doaj   +1 more source

Predicting solar cell efficiencies using historical data from a manufacturing process

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract The solar cell manufacturing data of a passivated emitter and rear cell solar cell manufacturing plant was studied to assess the effects of tool usage and the processing time spent on each tool on the solar cell efficiency. Since manufacturing processes involve several steps with multiple tools, tracing their quality parameters back to the ...
Sushmita Mittra, Vinay Prasad
wiley   +1 more source

Saddle-Point Equilibrium Strategy for Linear Quadratic Uncertain Stochastic Hybrid Differential Games Based on Subadditive Measures

Mathematics
This 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

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

On infinite dimensional stochastic differential games

, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source

Dynamic Stochastic Game Models for Collaborative Emergency Response in a Two-Tier Disaster Relief System

Mathematics
This study investigates collaborative disaster response strategies involving the government and social organizations from a dynamic perspective, incorporating stochastic disturbances that influence emergency resource supply.
Yifan Nie, Jingyu Wu, Minting Zhu, Mancang Wang   +3 more
doaj   +1 more source

A perspective review of applications of the computed tomography (CT) scan imaging technique for microscopic reservoir rock characterization

Deep Underground Science and Engineering, EarlyView.
In this review, the application of micro‐CT and medical‐CT scanning in the oil and gas industry has been thoroughly discussed. Recent improvements in DRP and modern imaging techniques in the oil and gas industry have been modeled using both experimental and simulation work.
Achinta Bera, Bharadwaj Shukla, Dhruvikkumar Jogani   +2 more
wiley   +1 more source