Identifying Circular City Indicators Based on Advanced Text Analytics: A Multi-Algorithmic Approach DOI Open Access
Nadia Falah,

Navid Falah,

Madelyn Marrero

и другие.

Environments, Год журнала: 2024, Номер 12(1), С. 1 - 1

Опубликована: Дек. 25, 2024

Circular Economy (CE) and circular cities are recognized as essential approaches for achieving sustainability fostering sustainable urban development. Given the diverse definitions principles, multidimensional complexities, lack of a comprehensive list CE indicators, this study aims to propose an innovative method identifying macro-level indicators assess circularity. This methodology combines systematic literature review (SLR) with advanced machine learning (ML) natural language processing (NLP) techniques. A multi-algorithmic approach, incorporating BERT, TF-IDF, Word2Vec, graph-based clustering models, is employed extract set from reputable scientific articles reports compare frequency similarly based on each model. The overlap accuracy results these five methods analyzed produce refined high precision alignment core principles. curated collection serves valuable tool policymakers, planners, designers, enabling prediction future trends in Additionally, it provides guidance research practical projects at various scales, buildings neighborhoods entire cities, facilitating more precise assessment circularity modern environments.

Язык: Английский

Predictive Maintenance Algorithms, Artificial Intelligence Digital Twin Technologies, and Internet of Robotic Things in Big Data-Driven Industry 4.0 Manufacturing Systems DOI Creative Commons
Marek Nagy,

Marcel Figura,

Katarína Valašková

и другие.

Mathematics, Год журнала: 2025, Номер 13(6), С. 981 - 981

Опубликована: Март 17, 2025

In Industry 4.0, predictive maintenance (PdM) is key to optimising production processes. While its popularity among companies grows, most studies highlight theoretical benefits, with few providing empirical evidence on economic impact. This study aims fill this gap by quantifying the performance of manufacturing in Visegrad Group countries through PdM algorithms. The purpose our research assess whether these generate higher operational profits and lower sales costs. Using descriptive statistics, non-parametric tests, Hodges–Lehmann median difference estimate, linear regression, authors analysed data 1094 enterprises. Results show that significantly improves performance, variations based geographic scope. Regression analysis confirmed as an essential predictor even after considering factors like company size, legal structure, Enterprises more effective cost management net were likely adopt PdM, revealed decision tree analysis. Our findings provide benefits algorithms their potential enhance competitiveness, offering a valuable foundation for business managers make informed investment decisions encouraging further other industries.

Язык: Английский

Процитировано

0
A Study on the Types and their Characteristics of the Circular Economy DOI
Gwang-Nam Rim,

Chol-Ju An,

Hyon-Sik Jang

и другие.

Journal of the Knowledge Economy, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Язык: Английский

Процитировано

0
Identifying Circular City Indicators Based on Advanced Text Analytics: A Multi-Algorithmic Approach DOI Open Access
Nadia Falah,

Navid Falah,

Madelyn Marrero

и другие.

Environments, Год журнала: 2024, Номер 12(1), С. 1 - 1

Опубликована: Дек. 25, 2024

Circular Economy (CE) and circular cities are recognized as essential approaches for achieving sustainability fostering sustainable urban development. Given the diverse definitions principles, multidimensional complexities, lack of a comprehensive list CE indicators, this study aims to propose an innovative method identifying macro-level indicators assess circularity. This methodology combines systematic literature review (SLR) with advanced machine learning (ML) natural language processing (NLP) techniques. A multi-algorithmic approach, incorporating BERT, TF-IDF, Word2Vec, graph-based clustering models, is employed extract set from reputable scientific articles reports compare frequency similarly based on each model. The overlap accuracy results these five methods analyzed produce refined high precision alignment core principles. curated collection serves valuable tool policymakers, planners, designers, enabling prediction future trends in Additionally, it provides guidance research practical projects at various scales, buildings neighborhoods entire cities, facilitating more precise assessment circularity modern environments.

Язык: Английский

Процитировано

0