Results 91 to 100 of about 51,065 (310)

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced 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

Management decision making by the analytic hierarchy process: A proposed modification for large-scale problems

open access: yes
Frequently, management decision making problems involve multiple criteria/objectives/attributes. Over the years, many quantitative methods have been developed to facilitate making rational decisions involving multiple criteria.
Islam, Rafikul, Abdullah, Nur Anisah
core  

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

open access: yesAdvanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba   +5 more
wiley   +1 more source

ANALYTIC HIERARCHY PROCESS (AHP) UNTUK PENENTUAN RANGKING PENGGUNAAN LAHAN

open access: yesJournal of Research and Technology, 2017
In urban spatial planning, the Local Government prioritizes land use to support planning development. The use of available land in an area must be adjusted to the function.
Anita Theresia Kurniawati   +1 more
doaj  

Decision support for information systems management : applying analytic hierarchy process

open access: yes
Decision-making in the field of information systems has become more complex due to a larger number of alternatives, multiple and sometimes conflicting goals, and an increasingly turbulent environment.
Huizingh, Eelko K.R.E.   +1 more
core  

Kajian Analytic Hierarchy Process (AHP) dalam Menentukan Posisi Merek Handphone Berdasarkan Persepsi Produsen dan Konsumen terhadap Kriteria Handphone

open access: yes, 2015
Analytic Hierarchy Process (AHP) is a decision making method in determining choice priority from any priority. Here is the algorithm in solving decision problem by using Analytic Hierarchy Process, that is determine the goal and make a structur of ...
P, Ahmad Shabri
core  

Does AHP help us make a choice? - An experimental evaluation

open access: yes, 2011
Author's pre-print version dated 2. August 2010 deposited in Munich Personal RePEc Archive. Final version published by Palgrave Macmillan; available online at http:// www.palgrave-journals.com/In this paper, we use experimental economics methods to test ...
Kaplan, T.   +7 more
core   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced 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

Factors influencing the adoption of mobile services consumers' preferences using analytic hierarchy process [PDF]

open access: yes
The rapid and widespread development of innovations in mobile services is changing societies and improving lives around the world. Due to lagging adoption, many of these new innovations have yet failed to generate revenue that was expected by mobile ...
Bouwman, Harry   +3 more
core  

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

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