Exploring Grey Systems in Uncertain Environments: A Bibliometric Analysis of Global Contributions and Research Themes

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2764 - 2764

Published: March 20, 2025

Grey systems theory, through the special mathematics and methods offered, such as seeing numbers intervals rather than fixed values, provides a bridge between two extreme cases in which system under investigation might find, namely, white system, easy to read understand, black completely unknown investigator. Since its appearance 1982, theory has contributed solving various challenges traditionally addressed complex means. The paper comprehensive perspective on evolution of grey domain over 42-year period analysed, spanning from 1982 2024. Utilizing dataset extracted Clarivate Analytics’ Web Science Core Collection database, conducts bibliometric analysis that includes identification key journals, affiliations, authors, countries, well collaboration networks among authors countries. It also analyses most frequently used keywords authors’ keywords. annual growth rate 12.99% indicates sustained interest researchers. Using Biblioshiny 4.2.3 library R version 4.4.1, variety visualisations have been created, including thematic maps WordClouds. A detailed review cited papers performed highlight role advancing intelligent decision-making techniques. In terms results, it observed university with highest contribution field is Nanjing University Aeronautics Astronautics while influential figure area number published Sifeng Liu. As expected, China, home country notable international networks.

Language: Английский

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Guiding Urban Decision-Making: A Study on Recommender Systems in Smart Cities

Electronics, Journal Year: 2024, Volume and Issue: 13(11), P. 2151 - 2151

Published: May 31, 2024

In recent years, the research community has increasingly embraced topics related to smart cities, recognizing their potential enhance residents’ quality of life and create sustainable, efficient urban environments through integration diverse systems services. Concurrently, recommender have demonstrated continued improvement in accuracy, delivering more precise recommendations for items or content aiding users decision-making processes. This paper explores utilization context cities by analyzing a dataset comprised papers indexed ISI Web Science database. Through bibliometric analysis, key themes, trends, prominent authors institutions, preferred journals, collaboration networks among were extracted. The findings revealed an average annual scientific production growth 25.85%. Additionally, n-gram analysis across keywords, abstracts, titles, keywords plus, along with review selected papers, enriched analysis. insights gained from these efforts offer valuable perspectives, contribute identifying pertinent issues, provide guidance on trends this evolving field. importance lies ability living providing personalized recommendations, optimizing resource utilization, improving processes, ultimately contributing sustainable intelligent environment.

Language: Английский

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Beyond Industry 4.0: Tracing the Path to Industry 5.0 through Bibliometric Analysis

Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 5251 - 5251

Published: June 20, 2024

The rapid advancement of technology has led to significant milestones in industrial progress, surpassing previous capabilities and presenting new challenges for adaptation. current phase revolutions is characterized by accelerated technological development, particularly automation digitalization. For instance, the global robotics market was valued at approximately USD 43.0 billion 2022 projected reach 70.6 2028. integration human labor alongside robotic machinery, though a tangible reality, may still seem abstract certain regions. Despite recent announcement fourth revolution, Industry 5.0 quickly emerged as standard toward which industries aspire. This study performs bibliometric analysis articles published between 2020 2023 that explores implications these two transition them. Using Clarivate Analytics’ Web Science Core Collection, identifies 154 using Biblioshiny package R, simultaneously discuss 4.0 within their titles, abstracts, or keywords. An impressive annual growth rate 119.47% among papers included dataset underlines interest research community this field. Additionally, key findings include identification prominent sources, prolific authors, highly cited content, well common themes explored across analyzed papers. Among most relevant sources terms number publications, journal Sustainability plays role, holding first position, followed Applied Sciences, Sensors. In motor themes, digital transformation, artificial intelligence, Internet Things, smart manufacturing have been found play role. As result, present contributes understanding evolution from 5.0, highlighting trends, influential research, emerging are shaping future advancements.

Language: Английский

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Machine Learning and Deep Learning Applications in Disinformation Detection: A Bibliometric Assessment

Electronics, Journal Year: 2024, Volume and Issue: 13(22), P. 4352 - 4352

Published: Nov. 6, 2024

Fake news is one of the biggest challenging issues in today’s technological world and has a huge impact on population’s decision-making way thinking. Disinformation can be classified as subdivision fake news, main purpose which to manipulate generate confusion among people order influence their opinion obtain certain advantages multiple domains (politics, economics, etc.). Propaganda, rumors, conspiracy theories are just few examples common disinformation. Therefore, there an urgent need understand this phenomenon offer scientific community paper that provides comprehensive examination existing literature, lay foundation for future research areas, contribute fight against The present manuscript detailed bibliometric analysis articles oriented towards disinformation detection, involving high-performance machine learning deep algorithms. dataset been collected from popular Web Science database, through use specific keywords such “disinformation”, “machine learning”, or “deep followed by manual check papers included dataset. documents were examined using R tool, Biblioshiny 4.2.0; perspectives various facets: overview, sources, authors, papers, n-gram analysis, mixed analysis. results highlight increased interest topics context learning, supported annual growth rate 96.1%. insights gained bring light surprising details, while study solid basis both area, well development new strategies addressing complex issue ensuring trustworthy safe online environment.

Language: Английский

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Artificial Intelligence in Pediatric Dentistry: Unlocking New Pathways for Research Policies and Priorities

Majallah-i dānishgāh-i ̒ulum-i pizishkī-i Kirmān., Journal Year: 2025, Volume and Issue: 32, P. 4050 - 4050

Published: Jan. 22, 2025

Language: Английский

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A bottom-up approach of knowledge graph modelling for urban underground public spaces: Insights into public cognition

Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 163, P. 106710 - 106710

Published: April 30, 2025

Language: Английский

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Navigating the Disinformation Maze: A Bibliometric Analysis of Scholarly Efforts

Information, Journal Year: 2024, Volume and Issue: 15(12), P. 742 - 742

Published: Nov. 21, 2024

The increasing prevalence of disinformation has become a global challenge, exacerbated by the rapid dissemination information in online environments. present study conducts bibliometric analysis scholarly efforts made over time research papers associated with field. Thus, this paper aims to understand and help combat focusing on methodologies, datasets, key metadata. Through approach, identifies leading authors, affiliations, journals examines collaboration networks field disinformation. This highlights significant growth disinformation, particularly response events such as 2016 U.S. election, Brexit, COVID-19 pandemic, an overall rate 15.14% entire analyzed period. results underscore role social media artificial intelligence spread well importance fact-checking technologies. Findings reveal that most prolific contributions come from universities United States America (USA), Kingdom (UK), Spain, other institutions, notable increase publications since 2018. thematic maps, keyword analysis, networks, provides comprehensive overview evolving research, offering valuable insights for future investigations policy development.

Language: Английский

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A Recommendation System for Prosumers Based on Large Language Models

Sensors, Journal Year: 2024, Volume and Issue: 24(11), P. 3530 - 3530

Published: May 30, 2024

As modern technologies, particularly home assistant devices and sensors, become more integrated into our daily lives, they are also making their way the domain of energy management within homes. Homeowners, now acting as prosumers, have access to detailed information at 15-min or even 5-min intervals, including weather forecasts, outputs from renewable source (RES)-based systems, appliance schedules current balance, which details any deficits surpluses along with quantities predicted prices on local market (LEM). The goal for these prosumers is reduce costs while ensuring home’s comfort levels maintained. However, given complexity rapid decision-making required in managing this information, need a supportive system evident. This true routine nature decisions, highlighting potential that provides personalized recommendations optimize consumption, whether involves adjusting load engaging transactions LEM. In context, we propose recommendation powered by large language models (LLMs), Scikit-llm zero-shot classifiers, designed evaluate specific scenarios offer tailored advice based available data moment. Two prosumer 5.9 kW assessed using candidate labels, such Decrease, Increase, Sell Buy. A comparison content-based filtering provided considering performance metrics relevant prosumers.

Language: Английский

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Caracterização de segmentos e atrativos turísticos por meio da mineração de dados e análise de redes no TripAdvisor

Revista Brasileira de Pesquisa em Turismo, Journal Year: 2024, Volume and Issue: 18, P. 2950 - 2950

Published: Nov. 14, 2024

Este estudo tem como objetivo compreender segmentos e atrativos turísticos por meio de uma metodologia replicável para outros estados brasileiros, ampliando a compreensão da percepção dos visitantes facilitando tomada decisões planejadores gestores destinos turísticos, assim dando suporte elaboração políticas públicas o setor. A se desenvolve aplicação técnicas mineração dados textuais, análise textual estatística redes em um banco qualitativo avaliação deixados no TripAdvisor. São utilizadas informações resultantes comentários provenientes mídia social especializada turismo com vistas analisar discurso sobre os do Piauí. Estes foram alcançados partir uso Big Data aplicado aos rastros pelos viajantes TripAdvisor, respeito turísticos. O qualitativos foi tratado softwares livres voltados à textual, tratamento das redes. Conclui-se que, resultados é possível demanda turística Piauí propor associada espacial capaz fundamentar gestão destinos, desenvolvimento públicas.

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A State-of-the-Art Review and Bibliometric Analysis on the Smart Preservation of Heritages

Buildings, Journal Year: 2024, Volume and Issue: 14(12), P. 3818 - 3818

Published: Nov. 28, 2024

The preservation of heritage buildings is a crucial endeavour for countries worldwide. This study presents comprehensive bibliometric analysis the latest trends in smart applications building within context Industry 4.0 and 5.0, covering period 2020–2024. A total 216 peer-reviewed journal articles obtained from Scopus database were subjected to using RStudio VOSviewer. methodology was based on dual analysis, including surface-level examination in-depth exploration. Consequently, new conceptual framework presented achieving heritages. It structured two pillars: physical methods pillar, devices processes, digital involving technologies environments. Also, results revealed that dominant portion literature publications (61%) emphasize specific topics such as interoperability, monitoring, data management, documentation. However, training community engagement represent an insufficient fraction (2–6%), more research needed future. paper concludes by discussing future innovative vision policy industry through urging policymakers promote interoperability standards; address security; fund innovative, low-cost technologies, well advocating sectors public engagement, sustainable preservation, prioritizing skill development programs workforce.

Language: Английский

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