Results 161 to 170 of about 8,584,080 (292)

Decision-Making

Nursing Management (Springhouse), 1987
openaire   +3 more sources

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Community environmental assessment for migrant seniors' mental health: a multi-attribute decision-making model. [PDF]

Front Med (Lausanne)
Wu Z, Qi X, Qin J, Cai B, Kuang S.
europepmc   +1 more source

Compatibility and correlation of multi-attribute decision making: a case of industrial relocation. [PDF]

Ann Oper Res, 2022
Martino Neto J, Salomon VAP, Ortiz-Barrios MA, Petrillo A.   +3 more
europepmc   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Three-Way Decision Models Based on Ideal Relations in Multi-Attribute Decision-Making. [PDF]

Entropy (Basel), 2022
Chen X, Zou L.
europepmc   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Enhanced multi-attribute decision-making method to analyze renewable energy sources for sustainable transportation by synergizing the cubic set with picture fuzzy hypersoft sets. [PDF]

Sci Rep
Sajid M, Khan KA, Rahman AU, Mabela RM.
europepmc   +1 more source

A novel multi-attribute decision-making for ranking mobile payment services using online consumer reviews. [PDF]

Expert Syst Appl, 2023
Darko AP, Liang D, Xu Z, Agbodah K, Obiora S.   +4 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source