Results 71 to 80 of about 25,372,776 (322)
Omega, 2020 Large-scale multinational manufacturing firms often require a significant investment in production capacity and extensive management efforts in strategic planning in an uncertain business environment. In this research we first discuss what decision terms
E. Sabet +3 more
semanticscholar +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
IEEE AccessThis paper presents a climate-aware stochastic capacity expansion planning (CEP) framework that addresses the growing need for robust policy and investment decisions towards high renewable penetration, giving due consideration to climate variability. The
Evangelos S. Chatzistylianos +3 more
doaj +1 more source
Review of planning and capacity analysis for stations with multiple platforms - Case Stuttgart 21
Journal of Rail Transport Planning & Management, 2017 The master plan, design and capacity analysis of the future network timetable and track infrastructure of the project known as Stuttgart 21 (Germany) is reviewed with focus on the methods and results for capacity estimation of the planned through station
I. A. Hansen
semanticscholar +1 more source
Stochastic Geometry Analysis of Large Intelligent Surface-Assisted Millimeter Wave Networks
IEEE Journal on Selected Areas in Communications, 2020 Reliable and efficient networks are the trend for next-generation wireless communications. Recent improved hardware technologies – known as Large Intelligent Surfaces (LISs) – have decreased the energy consumption of wireless networks, while ...
Yongxu Zhu, G. Zheng, Kai-Kit Wong
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
, 2020 Stochastic Model of Spacial Curb Parking Capacity With And Without On-Road ...
Dan Cohen
core +2 more sources
Stochastic equilibrium models for generation capacity expansion [PDF]
Capacity expansion models in the power sector were among the first applications of operations research to the industry. The models lost some of their appeal at the inception of restructuring even though they still offer a lot of possibilities and are in ...
EHRENMANN, Andreas, SMEERS, Yves
core
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Journal of Traffic and Transportation Engineering (English ed. Online), 2016 This article conducts a stochastic analysis on the passenger load factor of the airline industry. Used to measure competence and performance of the airline, load factor is the percentage of seats filled by revenue passengers.
Yohannes Yebabe Tesfay
doaj +1 more source