Results 141 to 150 of about 2,177,256 (261)

AN ANALYSIS OF THE BRAND LOYALTY BASED CONSUMER TYPOLOGY [PDF]

Even though the number of brands has strongly increased in recent years, only a few managed to endow themselves with significant brand loyalty. Besides the actual proprietary brand assets, such as patents and trademarks, other major elements like brand ...
Moisescu Ovidiu Ioan, Gica Oana Adriana
core   +2 more sources

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

A review of brand-loyalty measures in marketing. [PDF]

Brand loyalty represents an important asset to the firm. While considerable agreement exists on its conceptual definition, no unified approach to operationalize the concept has yet emerged in the marketing literature. We provide a conceptual framework to
Mellens, M, Steenkamp, J, Dekimpe, Marnik   +2 more
core  

The Impact of Brand Image and Promotion Programs on Customer Loyalty with Customer Satisfaction as a Mediator: A Study of Livin’ by Mandiri Users

Indonesian Interdisciplinary Journal of Sharia Economics
The rapid growth of mobile payment services in Indonesia has intensified competition, driven by technological advancements and the growing presence of from both banking and non-banking payment service providers.
Dian Cahyadi, Anies Lastiati Lastiati
doaj  

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

From Flight Miles to Community Immunity: How Loyalty Programs Can Revolutionize Vaccination in Saudi Arabia and the Gulf Cooperation Council (GCC). [PDF]

Cureus
Alsaeed A.
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

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +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

Oral nicotine pouch continuity programmes and US college students' intention to use. [PDF]

Tob Control
Dobbs P, Lin T, Roberts ME.
europepmc   +1 more source