AI on Wheels: Bibliometric Approach to Mapping of Research on Machine Learning and Deep Learning in Electric Vehicles

Electronics, Journal Year: 2025, Volume and Issue: 14(2), P. 378 - 378

Published: Jan. 19, 2025

The global transition to sustainable energy systems has placed the use of electric vehicles (EVs) among areas that might contribute reducing carbon emissions and optimizing usage. This paper presents a bibliometric analysis interconnected domains EVs, artificial intelligence (AI), machine learning (ML), deep (DL), revealing significant annual growth rate 56.4% in research activity. Key findings include identification influential journals, authors, countries, collaborative networks have driven advancements this domain. study highlights emerging trends, such as integration renewable sources, vehicle-to-grid (V2G) schemes, application AI EV battery optimization, charging infrastructure, consumption prediction. also uncovers challenges addressing information security concerns. By reviewing top-cited papers, underlines transformative potential AI-driven solutions enhancing performance scalability. results can be useful for practitioners, academics, policymakers.

Language: Английский

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Energy communities: Insights from scientific publications

Oeconomia Copernicana, Journal Year: 2024, Volume and Issue: 15(3), P. 1101 - 1155

Published: Sept. 30, 2024

Research background: Over the last ten years, a substantial amount of scholarly research has delved into energy communities (ECs) from diverse viewpoints. These ECs are extremely important in setting pathway to clean transition. Purpose article: Our objective is glean valuable insights publications indexed Web Science (WoS) database deepen our comprehension and their academic discourse. Methods: Data analytics, factorial analysis, more complex natural language processing (NLP) techniques such as latent Dirichlet allocation (LDA) implemented extract over 1000 WoS relevant EC field. The primary contribution this study lies furnishing details regarding key contributors landscape, including authors, affiliations, universities, countries origin. Additionally, we aim elucidate prevalent keywords thematic approaches employed endeavors. Findings & value added: Considering extracted dataset, an annual growth rate 21.15% been recorded, highlighting community’s interest field ECs. Furthermore, three topics optimally obtained. Overall, coherence score 0.44 suggests that LDA model performs adequately terms topic interpretation. Topic 1 relates community-based initiatives. 2, featuring like “grid,” “study” “EU” alongside “energy” “community,” focus on systems. 3 includes “generation,” “analysis” “consumption,” indicating centered around technical or analytical aspects production usage. This underscores how alignment between state laws EU directives supporting can serve for other regions. findings suggest similar policy frameworks could be effectively adapted different national contexts, providing looking enhance renewable strategies.

Language: Английский

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A Bibliometric Analysis of Text Mining: Exploring the Use of Natural Language Processing in Social Media Research

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(8), P. 3144 - 3144

Published: April 9, 2024

Natural language processing (NLP) plays a pivotal role in modern life by enabling computers to comprehend, analyze, and respond human meaningfully, thereby offering exciting new opportunities. As social media platforms experience surge global usage, the imperative capture better understand messages disseminated within these networks becomes increasingly crucial. Moreover, occurrence of adverse events, such as emergence pandemic or conflicts various parts world, heightens users’ inclinations towards platforms. In this context, paper aims explore scientific literature dedicated utilization NLP research, with goal highlighting trends, keywords, collaborative authorship that contribute proliferation papers field. To achieve objective, we extracted analyzed 1852 from ISI Web Science database. An initial observation reveals remarkable annual growth rate 62.18%, underscoring heightened interest academic community domain. This includes an n-gram analysis review most cited database, comprehensive bibliometric analysis. The insights gained efforts provide essential perspectives identifying pertinent issues addressed through application NLP.

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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Mapping the Landscape of Misinformation Detection: A Bibliometric Approach

Information, Journal Year: 2024, Volume and Issue: 15(1), P. 60 - 60

Published: Jan. 19, 2024

The proliferation of misinformation presents a significant challenge in today’s information landscape, impacting various aspects society. While is often confused with terms like disinformation and fake news, it crucial to distinguish that involves, mostcases, inaccurate without the intent cause harm. In some instances, individuals unwittingly share misinformation, driven by desire assist others thorough research. However, there are also situations where involves negligence, or even intentional manipulation, aim shaping opinions decisions target audience. Another key factor contributing its alignment individual beliefs emotions. This magnifies impact influence as people tend seek reinforces their existing beliefs. As starting point, 56 papers containing ‘misinformation detection’ title, abstract, keywords, marked “articles”, written English, published between 2016 2022, were extracted from Web Science platform further analyzed using Biblioshiny. bibliometric study aims offer comprehensive perspective on field detection examining evolution identifying emerging trends, influential authors, collaborative networks, highly cited articles, terms, institutional affiliations, themes, other relevant factors. Additionally, reviews most provides an overview all selected dataset, shedding light methods employed counter primary research areas has been explored, including sources such online social communities, news platforms. Recent events related health issues stemming COVID-19 pandemic have heightened interest within community regarding detection, statistic which supported fact half included top 10 based number citations addressed this subject. insights derived analysis contribute valuable knowledge address issue, enhancing our understanding field’s dynamics aiding development effective strategies detect mitigate misinformation. results spotlight IEEE Access occupies first position current papers, King Saud University listed contributor for while countries, top-5 list highest contribution area made USA, India, China, Spain, UK. Moreover, supports promotion verified reliable data, fostering more informed trustworthy environment.

Language: Английский

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Numbers Do Not Lie: A Bibliometric Examination of Machine Learning Techniques in Fake News Research

Algorithms, Journal Year: 2024, Volume and Issue: 17(2), P. 70 - 70

Published: Feb. 5, 2024

Fake news is an explosive subject, being undoubtedly among the most controversial and difficult challenges facing society in present-day environment of technology information, which greatly affects individuals who are vulnerable easily influenced, shaping their decisions, actions, even beliefs. In course discussing gravity dissemination fake phenomenon, this article aims to clarify distinctions between news, misinformation, disinformation, along with conducting a thorough analysis widely read academic papers that have tackled topic research using various machine learning techniques. Utilizing specific keywords for dataset extraction from Clarivate Analytics’ Web Science Core Collection, bibliometric spans six years, offering valuable insights aimed at identifying key trends, methodologies, notable strategies within multidisciplinary field. The encompasses examination prolific authors, prominent journals, collaborative efforts, prior publications, covered subjects, keywords, bigrams, trigrams, theme maps, co-occurrence networks, other relevant topics. One noteworthy aspect related extracted remarkable growth rate observed association analyzed indicating impressive increase 179.31%. value, coupled relatively short timeframe, further emphasizes community’s keen interest subject. light these findings, paper draws attention contributions gaps existing literature, providing researchers decision-makers innovative viewpoints perspectives on ongoing battle against spread age information.

Language: Английский

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Mathematical Patterns in Fuzzy Logic and Artificial Intelligence for Financial Analysis: A Bibliometric Study

Mathematics, Journal Year: 2024, Volume and Issue: 12(5), P. 782 - 782

Published: March 6, 2024

In this study, we explored the dynamic field of fuzzy logic and artificial intelligence (AI) in financial analysis from 1990 to 2023. Utilizing bibliometrix package RStudio data Web Science, focused on identifying mathematical models evolving role information granulation domain. The research addresses urgent need understand development impact AI within broader scope technological analytical methodologies, particularly concentrating their application banking contexts. bibliometric involved an extensive review literature published during period. We examined key metrics such as annual growth rate, international collaboration, average citations per document, which highlighted field’s expansion collaborative nature. results revealed a significant rate 19.54%, collaboration 21.16%, citation document 25.52. Major journals IEEE Transactions Fuzzy Systems, Sets Journal Intelligent & Information Sciences emerged contributors, aligning with Bradford’s Law’s Zone 1. Notably, post-2020, Systems showed substantial increase publications. A finding was high seminal granulation, emphasizing its importance practical relevance analysis. Keywords like “design”, “model”, “algorithm”, “optimization”, “stabilization”, terms “fuzzy controller”, “adaptive approach” were prevalent. Countries’ Collaboration World Map indicated strong pattern global interconnections, suggesting robust framework collaboration. Our study highlights escalating influence analysis, marked by outputs collaborations. It underscores crucial model sets stage for further investigation into how AI-driven are transforming practices worldwide.

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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Mapping the Research Landscape of Industry 5.0 from a Machine Learning and Big Data Analytics Perspective: A Bibliometric Approach

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2764 - 2764

Published: March 27, 2024

Over the past years, machine learning and big data analysis have emerged, starting as a scientific fictional domain, very interesting but difficult to test, becoming one of most powerful tools that is part Industry 5.0 has significant impact on sustainable, resilient manufacturing. This garnered increasing attention within scholarly circles due its applicability in various domains. The scope article perform an exhaustive bibliometric existing papers belong data, pointing out capability from point view, explaining usability applications, identifying which actual continually changing domain. In this context, present paper aims discuss research landscape associated with use terms themes, authors, citations, preferred journals, networks, collaborations. initial focuses latest trends how researchers lend helping hand change preconceptions about learning. annual growth rate 123.69%, considerable for such short period, it requires comprehensive check boom articles Further, exploration investigates affiliated academic institutions, influential publications, key contributors, delineative authors. To accomplish this, dataset been created containing researchers’ extracted ISI Web Science database using keywords 2016 ending 2023. incorporates graphs, describe relevant country collaborations, used words. ends review globally cited documents, describing importance 5.0.

Language: Английский

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United in Green: A Bibliometric Exploration of Renewable Energy Communities

Electronics, Journal Year: 2024, Volume and Issue: 13(16), P. 3312 - 3312

Published: Aug. 21, 2024

In recent years, the domain of renewable energy communities has experienced dynamic growth, spurred by European Union (EU) legislation that became law for all 27 Member States in June 2021. This legislative framework intensified research efforts aimed at discovering new methods sustainable sources through development individual and collective communities. Each EU country implemented distinct frameworks communities, leading to varied approaches. exponential investment, facilitating deployment photovoltaic battery storage systems, offering significant economic environmental benefits community members. Against this backdrop, purpose analysis is investigate academic publications related Using a dataset extracted from ISI Web Science database, study employs bibliometric approach identify main authors, affiliations, journals analyze collaboration networks, as well discern key topics countries involved. The reveals an annual growth rate 42.82%. Through thematic maps, WordClouds, three-field plots, review top 10 globally cited documents, provides comprehensive perspective on evolving

Language: Английский

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