Results 21 to 30 of about 2,997,816 (255)

Performance-Enhancing Market Risk Calculation Through Gaussian Process Regression and Multi-Fidelity Modeling

open access: yesComputation
The market risk measurement of a trading portfolio in banks, specifically the practical implementation of the value-at-risk (VaR) and expected shortfall (ES) models, involves intensive recalls of the pricing engine.
N. Lehdili, P. Oswald, H. D. Nguyen
doaj   +1 more source

“Analyze & Focus Your Intention” as the First Step for Applying the Digital Innovation and Transformation Process in Zoos

open access: yesComplex Systems Informatics and Modeling Quarterly, 2019
In many industrial domains and service sectors, digitalization efforts show first results. New kinds of products and services were introduced, which would not have been possible without end-to-end digitalization of operational processes, continuous ...
Matthias Wißotzki, Johannes Wichmann
doaj   +1 more source

Risk modeling in working out the plan of developing the road transport cargo enterprise

open access: yesAvtomobilʹnyj Transport (Harʹkov), 2022
Problem. In recent years, there has been a rather stable trend of reorientation of the freight transportation market in Ukraine from the predominant use of rail transport to customers preferring road transport for moving goods. Relying on the indicated
Shevchenko Inna   +2 more
doaj   +1 more source

ECONOMIC AND MATHEMATICAL MODELING OF THE FUNCTIONING OF AN INDUSTRIAL ENTERPRISE

open access: yesФінансово-кредитна діяльність: проблеми теорії та практики, 2022
The purpose of the article is to model the activities of an industrial enterprise as an independent economic unit in order to increase the profit of the enterprise in terms of economic efficiency. Method. In the course of the research the methodology of
Natalia Lokhman   +5 more
doaj   +1 more source

A formal verification framework and associated tools for enterprise modeling : application to UEML [PDF]

open access: yes, 2005
The aim of this paper is to propose and apply a verification and validation approach to Enterprise Modeling that enables the user to improve the relevance and correctness, the suitability and coherence of a model by using properties specification and ...
Chapurlat, Vincent   +2 more
core   +1 more source

Enhanced Lightweight Object Detection Model in Complex Scenes: An Improved YOLOv8n Approach

open access: yesInformation
Object detection has a vital impact on the analysis and interpretation of visual scenes. It is widely utilized in various fields, including healthcare, autonomous driving, and vehicle surveillance.
Sohaya El Hamdouni   +2 more
doaj   +1 more source

Enterprise Modeling in the context of Enterprise Engineering: State of the art and outlook

open access: yesInternational Journal of Production Management and Engineering, 2014
Enterprise Modeling is a central activity in Enterprise Engineering and can facilitate Production Management activities. This state-of-the-art paper first recalls definitions and fundamental principles of enterprise modelling, which goes far beyond ...
François Vernadat
doaj   +1 more source

What works in careers and enterprise? [PDF]

open access: yes, 2016
The Careers & Enterprise Company believes that young people should be given the best support available to develop their careers and to make choices about education and ...
The Careers & Enterprise Company   +1 more
core  

Enterprise Modeling with 4EM: Perspectives and Method

open access: yes, 2022
Approaches and methods for enterprise modeling have been the subject of discussion and development in industry and academia during at least the last 30 years.
Kurt Sandkuhl   +5 more
core   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

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