Results 121 to 130 of about 58,211 (311)

Is Precision Agriculture Technology Adoption Persistently Overestimated?

open access: yesAgribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone   +5 more
wiley   +1 more source

Standards and Customer Service: Employees Behavior towards Customers

open access: yesJournal of Innovations and Sustainability, 2017
Ensuring effective customer service requires targeted efforts in a number of areas, one of which is to develop service standards for each market segment.
Venelin Terziev   +2 more
doaj  

Studying Customer Satisfaction of Mashhad Airport Customs Based on Kano and Servqual Models [PDF]

open access: yesInternational Journal of Management, Accounting and Economics, 2017
Over the past two decades, developed countries were shadowed by moving toward service-based economics, which is recently affecting developing countries.
Abbas Sharifipour   +3 more
doaj  

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

open access: yesAIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son   +4 more
wiley   +1 more source

An Investigation of Representative Customer Load Collectives in the Development of Electric Vehicle Drivetrain Durability

open access: yesWorld Electric Vehicle Journal
To ensure the precise dimensioning and effective testing of drivetrain components, it is crucial to have a thorough understanding of customer requirements, with a particular emphasis on customer stress on these components.
Mingfei Li   +4 more
doaj   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

Study on the Structured Processing of Unstructured Personalized Customer Requirement for Mass Customization

open access: yesDianxin kexue, 2013
Mass customization is a new model of manufacturing and services. Customers' personalized service requirement in mass customization often have the unstructured characteristics, and obtaining and analyzing customers' real requirements accurately is the key
Qinglie Wu, Yu Guo
doaj   +2 more sources

Fuzzy Centroid-Based Method Applied to Customer Requirements Ranking in Diba Fiberglass Company [PDF]

open access: yesJournal of Optimization in Industrial Engineering, 2009
The purpose of this study is to introduce an application of fuzzy centroid-based approach to ranking the customer requirements using QFD with competition considerations for Diba Fiberglass, an Iranian Company.
doaj  

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury   +4 more
wiley   +1 more source

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